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Agustian, Dwi, Cut Novianti Rachmi, Noormarina Indraswari, Anna Molter, Melanie Carder, Fedri Ruluwedrata Rinawan, Martie van Tongeren, and Driejana Driejana. "Feasibility of Indonesia Family Life Survey Wave 5 (IFLS5) Data for Air Pollution Exposure–Response Study in Indonesia." International Journal of Environmental Research and Public Health 17, no. 24 (December 18, 2020): 9508. http://dx.doi.org/10.3390/ijerph17249508.
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Background: Air pollution is an important risk factor for the disease burden; however there is limited evidence in Indonesia on the effect of air pollution on health, due to lack of exposure and health outcome data. The objective of this study is to evaluate the potential use of the IFLS data for response part of urban-scale air pollution exposure–health response studies. Methods: Relevant variables were extracted based on IFLS5 documentation review. Analysis of the spatial distribution of respondent, data completeness, prevalence of relevant health outcomes, and consistency or agreement evaluation between similar variables were performed. Power for ideal sample size was estimated. Results: There were 58,304 respondents across 23 provinces, with the highest density in Jakarta (750/district). Among chronic conditions, hypertension had the highest prevalence (15–25%) with data completeness of 79–83%. Consistency among self-reported health outcome variables was 90–99%, while that with objective measurements was 42–70%. The estimated statistical power for studying air pollution effect on hypertension (prevalence = 17%) in Jakarta was approximately 0.6 (α = 0.1). Conclusions: IFLS5 data has potential use for epidemiological study of air pollution and health outcomes such as hypertension, to be coupled with high quality urban-scale air pollution exposure estimates, particularly in Jakarta.
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ALEXANDRA, Christina, Tiffany TANTRI, and Fergyanto E. GUNAWAN. "Analyzing the Performance Criteria of ARMA Model for Air Quality Forecasting in Jakarta." Journal of Environmental Management and Tourism 10, no. 7 (January 27, 2020): 1591. http://dx.doi.org/10.14505//jemt.10.7(39).16.
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Air pollution has been receiving global attention because of its effects on human health and the environment. The ability to predict the level of a pollutant concentration is important for various purposes such as for prevention and mitigation. Some papers had implemented various forecasting techniques to predict air pollution in Mexico, Spain, Malaysia. This research intends to investigate the forecasting accuracy of some air pollutants (PM10, SO2, CO, O3, and NO2) in Jakarta, Indonesia. The data are acquired daily for five measurement sites across the city, namely, Bundaran HI, Kelapa Gading, Jagakarsa, Lubang Buaya, and Kebon Jeruk during January-October of 2018. The data are fitted with Auto-Regressive Moving-Average (ARMA) models. The best model is obtained by comparing the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC) with the relative error. The best and the most accurate model is the model with the lowest value of AIC or BIC.
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Chasanah, Rina Nur, and Andreas Wijaya. "The Analysis Of Service Quality Using Importance Performance Analysis For Mrt Jakarta." Primanomics : Jurnal Ekonomi & Bisnis 18, no. 3 (September 1, 2020): 85. http://dx.doi.org/10.31253/pe.v18i3.397.
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Public infrastructure and congestion issues become salient problems in Indonesia. According to INRIX Global Traffic Scoreboard (2018): Jakarta was ranked as twelfth worst in the world. Air quality also becoming another issues that derived from traffic congestion causing air pollution. To mitigate this issue, government has been established MRT Jakarta in 2019. This study aims to evaluate and improving service level of Moda Raya Terpadu (MRT) in order to encourage more people using public transportation, moreover altering people using public transportation would reduce the amount of fossil fuels and reducing bad air pollution for a better climate. Methodolgy of the research using service quality theory with five dimension from Parasuraman et. al, and extended in Importance Performance Analysis (IPA) method. Therefore, data was distributed using questionnaire with 18 item measurement and 102 respondents was collected. As a result, tangibility, reliability, and responsiveness dimension had been classified in quadrant one, followed assurance dimension in quadrant two, however empathy dimension had been measured in quadrant four and indicates to be improved.
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ZAHRA, NURULBAITI LISTYENDAH, FIKRI ABDURRAHMAN HAIDAR, YASMIN HANUM, DELAFANY RAMADHANTI, RIZKI RAMADHAN, ARI RAHMAN, FATIMAH DINAN QONITAN, and BETANTI RIDHOSARI. "Pemantauan Kualitas Udara Ambien di Komplek Universitas Pertamina pada Masa Pandemi COVID-19." Jurnal Teknologi Lingkungan 23, no. 1 (January 31, 2022): 084–91. http://dx.doi.org/10.29122/jtl.v23i1.4597.
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ABSTRACT The increasing number of vehicles in Jakarta has the potential to increase air pollution, especially on protocol roads. However, during the COVID-19 pandemic, large-scale social restrictions (PSBB) were imposed in Jakarta, which made work activities and learning processes carried out online. These social restrictions cause a decrease in vehicle activity, including at Universitas Pertamina Areas in Jakarta. The decreasing number of this activity certainly affects the ambient air quality. Therefore, ambient air quality measurements were conducted at Universitas Pertamina Areas during the COVID-19 pandemic. The parameters observed included SO2, NO2, O3, TSP, PM2.5, and NH3. This research showed that during the COVID-19 pandemic, the measured air parameters, namely SO2, NO2, O3, TSP, and PM2.5, met the quality standards based on the Government Regulation of the Republic of Indonesia Number 41 of 1999 concerning air pollution control. Also, NH3 parameters had met the Decree Minister of Environment Number: KEP-50/MENLH/11/1996 concerning odor level standards. Keywords: COVID-19 Pandemic, Gas, South Jakarta, Air Quality, Particulate ABSTRAK Peningkatan jumlah kendaraan bermotor di Kota Jakarta berpotensi dalam meningkatkan pencemaranudara, terutama di jalan-jalan protokol. Namun, selama pandemi COVID-19 diberlakukan pembatasan sosial berskala besar (PSBB) di Kota Jakarta yang membuat kegiatan kerja dan proses pembelajaran dilakukan secara daring sehingga aktivitas kendaraan bermotor mengalami penurunan, termasuk di Komplek Universitas Pertamina Jakarta. Penurunan aktivitas ini berpengaruh terhadap kualitas udara ambien. Oleh karena itu dilakukan pengukuran terhadap kualitas udara ambien di Universitas Pertamina selama pandemi COVID-19. Parameter yang diamati meliputi SO2, NO2, O3, TSP, PM2,5, dan NH3. Dari hasil pemantauan dapat disimpulkan bahwa pada saat pandemi, parameter udara yang diukur, yaitu SO2, NO2, O3, TSP, dan PM2,5 memenuhi baku mutu berdasarkan Peraturan Pemerintah Republik Indonesia Nomor 41 Tahun 1999 tentang pengendalian pencemaran udara dan parameter NH3 telah memenuhi Keputusan Menteri Lingkungan Hidup Nomor: KEP50/MENLH/11/1996 tentang baku tingkat kebauan. Kata kunci: Pandemi COVID-19, Gas, Jakarta Selatan, Kualitas Udara, Partikulat
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Ratnasari, Putri Nur, and Dyah Nurwidyaningrum. "KUALITAS DAN KENYAMANAN UDARA PADA GEDUNG PERKANTORAN BERTINGKAT RENDAH DENGAN STUDI KASUS GEDUNG PERKANTORAN PT. X DI JAKARTA." Construction and Material Journal 2, no. 2 (September 15, 2020): 123–29. http://dx.doi.org/10.32722/cmj.v2i2.3093.
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AbstractGreen Building Council Indonesia (GBCI) publishes an assessment device called Greenship to be used as a benchmark in planning to maintain green buildings. PT. Medtek one of the low-rise office buildings in Jakarta that is an area with moderate air pollution level based on air Pollution Standard Index (ISPU) which has no effect on human or animal health but influential on sensitive plants and aesthetic values. This research aimed to know the criteria points obtained by PT. Medtek, influence of air quality, and building conditions in the user of the building. Measurements of indoor air health, comfort and questionnaire data collection is done indoors when user’s activity in an office building is underway. The method used is a comparison method by comparing the results of field measurements with Greenship Rating Tools Existing Building version 1.1. The criteria achieved by PT. Medtek are a non-smoking campaign, outside air introduction, cigarette smoke control, and visual comfort. Criterion points earned 12 out of 18 scoring points are reviewed or meet 66.67% of the total assessment aspect of quality and comfort of indoor air.Keywords: Green Building; Greenship; Air Pollution; Air Quality; Low-Rise OfficeAbstrakGreen Building Council Indonesia (GBCI) menerbitkan sebuah perangkat penilaian yang disebut Greenship untuk dijadikan sebuah tolak ukur dalam perencanaan hingga pemeliharaan untuk bangunan hijau. PT. X salah satu gedung perkantoran bertingkat rendah di Jakarta dengan karateristik memiliki jumlah lantai 1 sampai dengan 3 dengan tinggi kurang dari 10 m yang berada pada daerah dengan tingkat polusi udara sedang berdasarkan Indeks Standar Pencemaran Udara (ISPU) yang kualitas udaranya tidak berpengaruh pada kesehatan manusia ataupun hewan namun berpengaruh pada tumbuhan yang sensitif dan nilai estetika. Penelitian ini bertujuan untuk mengetahui poin kriteria yang diperoleh PT. X, pengaruh kualitas udara, dan kondisi gedung pada pengguna gedung. Pengukuran Kualitas dan Kenyamanan Udara dalam Ruang dan pengumpulan data kuesioner dilakukan di dalam ruangan saat aktivitas pengguna di gedung perkantoran sedang berlangsung. Metode yang digunakan ialah metode komparasi yang membandingkan hasil pengukuran lapangan dengan Greenship Rating Tools Existing Building versi 1.1. Kriteria yang dicapai oleh PT. X ialah kampanye dilarang merokok, introduksi udara luar, pengendalian asap rokok, dan kenyamanan visual. Poin kriteria yang diperoleh 12 dari 18 poin penilaian yang ditinjau atau memenuhi 66,67% dari total penilaian aspek kualitas dan kenyamanan udara dalam ruang. Kata kunci: Green Building; Greenship; Polusi Udara; Kualitas Udara; Low-Rise Office
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Ruhiat, Fariz, Dudy Heryadi, and Akim. "Strategi NGO Lingkungan Dalam Menangani Polusi Udara di Jakarta (Greenpeace Indonesia)." Andalas Journal of International Studies (AJIS) 8, no. 1 (June 29, 2019): 16. http://dx.doi.org/10.25077/ajis.8.1.16-30.2019.
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Air pollution is one of the global problems being faced by most major cities in the world. As the problem of air pollution increases, non-state actors emerge because of the limited role of the state in tackling these environmental problems. One of the non-state actors who is concerned about the problem of air pollution is Greenpeace which is a form of international non-governmental organizations. This study aims to describe an understanding of environmental NGO strategies in overcoming air pollution in Jakarta. The researcher uses qualitative research methods with a literature study approach. In library studies, data and information are collected and analyzed to understand the phenomenon under review. Based on the results of discussion and data analysis, Greenpeace has implemented its strategy in overcoming air pollution in Jakarta. From the nine strategies described by McCormick, Greenpeace has a tendency to use undertaking research strategies and Campaigning & organizing public protest
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Wardhani, Nurilmiyanti, Hamdan Gani, Sitti Zuhriyah, Helmy Gani, and Etika Vidyarini. "A Correlation Method for Meteorological Factors and Air pollution in association to covid-19 pandemic in the most affected city in Indonesia." ILKOM Jurnal Ilmiah 13, no. 3 (August 8, 2021): 195–205. http://dx.doi.org/10.33096/ilkom.v13i3.854.195-205.
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This study aims to validate the correlation between meteorological factors and air pollution with the spread of Covid-19 in Jakarta, Indonesia. This study examined the Covid-19 cases of Jakarta and its five municipalities. The secondary data of Covid-19 cases, includes Daily Positive Cases (DPC) and Total Daily Positive Cases (TDPC), were retrieved from the Health Office of DKI Jakarta Province, while the meteorological and air pollution parameters were obtained from the online database archives. Kendall and Spearman rank correlation tests were used to analyze correlation between DPC and TDPC with meteorological and air pollution parameters. This study found that Air Quality Index and PM10 showed a significant positive correlation with DPC in municipalities of Jakarta. Also, the average air temperature was positively correlated to TDPC in all region of Jakarta. Average air temperature, Air Quality Index, and PM10 were the factors that take into account for the spread of Covid-19 pandemic in Jakarta, Indonesia. The warmer temperature associated to the higher number of case. Thus, there are no indications that the spread of Covid-19 in subtropical or temperate country may decrease when entering a warmer season that resembles the climatic characteristics in tropical region. Additionally, the significance of air pollutant factors implies that reducing air pollution should be promoted as it might reduce the spread of Covid-19. The findings of this study would be useful to support the strategy and policy in preventing the spread of Covid-19 in the country.
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Tri-Tugaswati, A., S. Suzuki, H. Koyama, and T. Kawada. "Health Effects of Air Pollution due to Automotive Lead in Jakarta." Asia Pacific Journal of Public Health 1, no. 4 (October 1987): 23–27. http://dx.doi.org/10.1177/101053958700100408.
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Atmospheric lead and its health effects were surveyed in Jakarta, indonesia. Public transportation drivers of small tricycles in downtown Jakarta (exposed group) and farmers who lived in the suburbs of Jakarta (control group) were examined for biomedical effects of lead. Lead concentration in the air along the streets where the drivers work is 3.6 and 1.7 μg/m3with a traffic volume of 5, 148/hour and 1, 284/hour for one side during the day. In the suburbs of Jakarta it was 0.3 μg/m with a traffic volume of 40/hour. The driver group had double the lead concentration both in blood and urine, delta-amlnolevullnic acid (ALA) dehydrase activity decreased by 30%, and higher coproporphyrin excretion compared to the control group on average. The differences were statistically significant. Mean ALA concentration and haematocrit value showed no difference between the groups. An increased absorption of lead and effects of lead at enzyme level are so pronounced that a lead reducing programme of gasoline may be recommended.
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Nurwidyaningrum, Dyah, Miftahul Ulum, and Billy Septanto Syamsumarno. "Investigation of Air Circulation For Indoor Air Quality Of Middle-Class Apartment in Jakarta, Indonesia." Applied Research on Civil Engineering and Environment (ARCEE) 1, no. 02 (February 5, 2020): 16–21. http://dx.doi.org/10.32722/arcee.v1i02.2679.
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The most significant energy used in middle-class apartments is the air circulation unit. The use of energy from the air circulation system is related to the comfort of the user in the housing unit, so it adjusts to the applicable standard. The objection of this study is to investigate the optimization of the air circulation system in middle-class apartments in an urban area. The method is a comparative study of the government standard. The stages of the research did site observation, take air quality measurement, and interview with the questionnaire. Indoor air quality data collected are temperature, relative humidity, CO, and CO2. The data measurement compared to SNI 03-6572-2001 on Procedures for Designing Air Conditioning and Ventilation Systems in Buildings, Indonesian National Standardization. The questionnaire was to find out the comfort of residents on indoor air quality (IAQ). This study reveals that almost all air quality aspects are consistent to standard, except the temperature. The results of this study that meet the criteria related to air circulation are air movement 40%, relative humidity 65.5%, air movement 40%, CO 78%, and CO2 95%. The result of the questionnaires states that 72.4% of residents feel comfortable with the air quality in the dwelling unit. The size of the room and the adequacy of ventilation in the place influences the value of the air circulation system besides air movement.
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Nelvidawati, Nelvidawati, and Angelalia Roza. "PERBANDINGAN NILAI ISPU HARIAN DI 5 TITIK PEMANTAUAN UDARA DKI JAKARTA PADA SAAT LOCKDOWN MARET 2020." Construction and Material Journal 4, no. 1 (April 29, 2022): 23–30. http://dx.doi.org/10.32722/cmj.v4i1.4520.
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One of the air quality conditions in the Special Capital City Region (DKI) Jakarta is the transportation sector. The air quality index is dominated by moderate conditions, even at dangerous levels. The COVID-19 pandemic caused the DKI Jakarta Provincial Government to lock down in March 2020. Research in several countries has shown that air quality has improved because people's mobility has been stopped. This study aims to determine the effect of the lockdown imposed in DKI Jakarta on its air quality and see a comparison at each point. The method used is descriptive method. The data analyzed in this study were collected from 5 points of the Air Quality Monitoring System (AQMS) monitoring tool. Based on the research, it was concluded that the lockdown imposed in DKI Jakarta only affected the location of point 1 at the Hotel Indonesia (HI) roundabout. The Air Pollution Status Index (ISPU) is dominated by good air quality conditions. Other areas such as West Jakarta, East Jakarta, North Jakarta and South Jakarta, the lockdown imposed in March 2020 did not have any effect on increasing the ISPU value. In 2021 the air quality condition in DKI Jakarta is worse than in previous years at all monitoring points since the activities have returned to normal and traffic jams frequently occur. Keywords: Air Quality Index, DKI Jakarta, Lockdown, Transportation.
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Idiawati, Nora, and Sepridawati Siregar. "IMPACT OF COVID-19 EVENT ON AIR POLLUTANTS OF PM2.5 AND PM10 IN JAKARTA, INDONESIA." Journal of Southwest Jiaotong University 56, no. 4 (August 30, 2021): 117–40. http://dx.doi.org/10.35741/issn.0258-2724.56.4.12.
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As the capital city of Indonesia, the Province of Jakarta encounter a problem seriously of decreasing air quality. This study analyzes the air quality of two cities in Jakarta Province, Central Jakarta and South Jakarta, from March to June 2016–2020, and the impact of COVID-19 epidemic prevention and control actions on air quality. The combined air quality index (AQI) for two cities from 2016–2019, in the wet season, indicated that it has the lowest AQI with an average of 79, and the highest AQI occurred in the dry season with averaged 118. The distribution of the six AQI classes for two cities in dry season were 2%, 24%, 63%, 11%, 0%, and 0%, and in wet season, they were 10%, 48%, 39%, 3%, 0%, and 0%, respectively. The concentrations for PM2.5 and PM10 in March, April, May, and June 2016–2019 and those for 2020 were also analyzed in this study. Based on the data from the two cities, during March, April, May, and June 2020, the average PM2.5 decreased by 23.6%, 39.5%, 41.5%, and 13.3%, respectively, and the average PM10 decreased by 22.2%, 29.9%, 36.9%, and 29.8%, respectively, compared with that in March, April, May, and June 2016–2019. It is obvious that air quality greatly improved during the COVID-19 epidemic. This study presents beneficial information to policymakers for developing scientific air pollution control strategies and is a useful reference for future research in improving urban air quality.
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Idiawati, Nora, and Sepridawati Siregar. "IMPACT OF COVID-19 EVENT ON AIR POLLUTANTS OF PM2.5 AND PM10 IN JAKARTA, INDONESIA." Journal of Southwest Jiaotong University 56, no. 4 (August 30, 2021): 117–40. http://dx.doi.org/10.35741/issn.0258-2724.56.4.12.
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As the capital city of Indonesia, the Province of Jakarta encounter a problem seriously of decreasing air quality. This study analyzes the air quality of two cities in Jakarta Province, Central Jakarta and South Jakarta, from March to June 2016–2020, and the impact of COVID-19 epidemic prevention and control actions on air quality. The combined air quality index (AQI) for two cities from 2016–2019, in the wet season, indicated that it has the lowest AQI with an average of 79, and the highest AQI occurred in the dry season with averaged 118. The distribution of the six AQI classes for two cities in dry season were 2%, 24%, 63%, 11%, 0%, and 0%, and in wet season, they were 10%, 48%, 39%, 3%, 0%, and 0%, respectively. The concentrations for PM2.5 and PM10 in March, April, May, and June 2016–2019 and those for 2020 were also analyzed in this study. Based on the data from the two cities, during March, April, May, and June 2020, the average PM2.5 decreased by 23.6%, 39.5%, 41.5%, and 13.3%, respectively, and the average PM10 decreased by 22.2%, 29.9%, 36.9%, and 29.8%, respectively, compared with that in March, April, May, and June 2016–2019. It is obvious that air quality greatly improved during the COVID-19 epidemic. This study presents beneficial information to policymakers for developing scientific air pollution control strategies and is a useful reference for future research in improving urban air quality.
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Mulia, Gelora J. T., Bambang Wispriyono, Haryoto Kusnoputranto, Budi Hartono, and Anna Rozaliyani. "Indoor Air Pollution and Respiratory Function on Primary School Students in West Jakarta, Indonesia." Open Public Health Journal 13, no. 1 (May 23, 2020): 190–95. http://dx.doi.org/10.2174/1874944502013010190.
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Background: This study aimed to investigate the relationship between air pollutant exposure, i.e., Particulate Matter (PM2,5), and the numbers of airborne bacterial colonies inside the classroom to the respiratory symptoms of three primary school children in West Jakarta. Methods: We did a quantitative study with a cross-sectional design using variables, i.e., age, sex, physical activity, nutritional status, students’ density, ventilation, classroom temperature, and classroom humidity. We used Haz-Dust EPAM 5000 to measure PM2,5,MAS 100 NT to calculate the total bacterial colony, spirometry to measure the respiratory capacity, and questionnaire to measure other related variables. Results: We found a significant relationship between PM2,5concentration with respiratory symptoms, however, there was no significant relationship between the total number of airborne bacterial colonies with respiratory symptoms. Conclusion: Based on our results, we conclude that there was a significant relationship between the PM 2,5 concentration and obstructive pulmonary symptoms and there was no significant relationship between the numbers of the bacterial colonies with pulmonary symptoms.
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Mulia, Gelora J. T., Bambang Wispriyono, Haryoto Kusnoputranto, Budi Hartono, and Anna Rozaliyani. "Indoor Air Pollution and Respiratory Function on Primary School Students in West Jakarta, Indonesia." Open Public Health Journal 13, no. 1 (May 23, 2020): 190–95. http://dx.doi.org/10.2174/1874944502013010170.
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Background: This study aimed to investigate the relationship between air pollutant exposure, i.e., Particulate Matter (PM2,5), and the numbers of airborne bacterial colonies inside the classroom to the respiratory symptoms of three primary school children in West Jakarta. Methods: We did a quantitative study with a cross-sectional design using variables, i.e., age, sex, physical activity, nutritional status, students’ density, ventilation, classroom temperature, and classroom humidity. We used Haz-Dust EPAM 5000 to measure PM2,5,MAS 100 NT to calculate the total bacterial colony, spirometry to measure the respiratory capacity, and questionnaire to measure other related variables. Results: We found a significant relationship between PM2,5concentration with respiratory symptoms, however, there was no significant relationship between the total number of airborne bacterial colonies with respiratory symptoms. Conclusion: Based on our results, we conclude that there was a significant relationship between the PM 2,5 concentration and obstructive pulmonary symptoms and there was no significant relationship between the numbers of the bacterial colonies with pulmonary symptoms.
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Dewi, Dyah Makutaning, Ariful Romadhon, Istu Indah Setyaningsih, and Ika Yuni Wulansari. "THE IMPACT OF COVID-19 OUTBREAK ON AIR POLLUTION LEVELS USING ARIMA INTERVENTION MODELLING: A CASE STUDY OF JAKARTA, INDONESIA." Jurnal Meteorologi dan Geofisika 23, no. 3 (June 14, 2022): 7. http://dx.doi.org/10.31172/jmg.v23i3.791.
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<p><em>Jakarta is a region with a high number of COVID-19 cases in Indonesia. This study investigates the impact of the COVID-19 pandemic and the resulting large scale social restriction on air pollution levels in Jakarta, Indonesia, by studying particulate matter (PM<sub>10</sub>) levels. This study employs ARIMA intervention using daily COVID-19 case data from January 1, 2020 to September 30, 2020 (the period before and after the first case of COVID-19 in Indonesia on March 2, 2020). The analysis shows COVID-19 started to impact PM<sub>10</sub> in Jakarta on the 11<sup>th</sup> day after confirming the first case in Indonesia, which is indicated by an unordinary increase in PM<sub>10</sub> level. However, on the 12<sup>th</sup> day after intervention, the PM<sub>10</sub> level decreases. This occurred at the beginning of the period when large-scale social restrictions are imposed. However, one month after intervention, PM<sub>10</sub> increases again and continues to increase until the end of the study. This is allegedly because people are accustomed to being ignorant and bored with the pandemic situation. Social restrictions and movements are no longer effective, which results in the rise of PM<sub>10</sub> levels again. Hence, it can be concluded that COVID-19 impacts air quality in Jakarta even though the impact is minimal and in the short term.</em></p>
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Anggraini, Asfilia Nova, Nisa Kholifatul Ummah, Yessy Fatmasari, and Khadijah Fahmi Hayati Holle. "Air Quality Forecasting in DKI Jakarta Using Artificial Neural Network." MATICS 14, no. 1 (June 17, 2022): 1–5. http://dx.doi.org/10.18860/mat.v14i1.13863.
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The increase in the use of motorized vehicles increases air pollution conditions, especially in big cities such as the capital city of Indonesia, Jakarta. The pollution that pollutes this city contains various kinds of chemical particles that are harmful to living things when they enter the body. several efforts to reduce this pollution have been carried out, one of which is by identifying the pollutants contained in the air. This study uses data obtained from monitoring stations to predict the content of pollutants in the air at some time in the future. the method used is data mining forecasting with a neural network model. by using rapid miner obtained several graphic descriptions of pollutant conditions in Jakarta that go up and down. pollutant levels of SO2, CO, PM10 and NO2 all increased in the November-December period and at the same time period, ozone was at its lowest point. Results from Prediction air quality using Artificial Neural Network with 5 parameters, shown on this pollutant PM10 had an RMSE of 9,477; SO2 had an RMSE 5,474; CO had an RMSE 8,392; O3 had an RMSE 18,250; NO2 had an RMSE 5,171. Can be concluded that the RMSE value of O3 is higher than the others and the lowest value of NO2.
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Rendana, Muhammad, and Leily Nurul Komariah. "The relationship between air pollutants and COVID-19 cases and its implications for air quality in Jakarta, Indonesia." Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 11, no. 1 (April 29, 2021): 93–100. http://dx.doi.org/10.29244/jpsl.11.1.93-100.
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World Health Organization (WHO) has announced that COVID-19 as a global pandemic and public health emergency. Previous studies have revealed that COVID-19 was an infectious disease and it could remain viable in ambient air for hours. Therefore, this study aims to examine the correlation between air pollutants (PM2.5, PM10, CO, SO2, NO2 and O3) and COVID-19 spread in Jakarta, Indonesia. Furthermore, this study also evaluates the impact of large-scale social restriction (LSSR) on air pollution index (API). Result of study found that air pollution index of PM2.5, PM10, CO, SO2 and NO2 decreased by 9.48%, 15.74%, 29.17%, 6.26% and 18.34% during LSSR period. While, for O3 showed an increase by 4.06%. Another result also found significantly positive correlations of SO2, CO and PM2.5 with COVID-19 cases. An exposure to SO2, CO and PM2.5 has driven the area become vulnerable for COVID-19 infection. Our findings indicated that the relationship between air pollutants and COVID-19 spread could provide a new notion for precaution and control method of COVID-19 outbreak.
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Prasetya, Dimas Ardi, I. Putu Santikayasa, and Iqbal Hanun Azizi. "Analisis Indeks Pencemaran Airtanah di DKI Jakarta dengan Interpolasi Spasial." Jurnal Teknik Sipil dan Lingkungan 6, no. 3 (December 31, 2021): 177–86. http://dx.doi.org/10.29244/jsil.6.3.177-186.
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Everyone needs water to his life and his activity. Groundwater pollution is one of the problems in Indonesia. The increasing number of the show an increase water needs. They were filled with groundwater needs. There has been decreasing groundwater that is occupied in quantity and quality. The research was done in Jakarta, consisting of 42 sub-district. Research takes into account the condition of the dry season. Uses index research quality of groundwater pollution. Monitoring parameter groundwater consisting of physics, chemical and biology paramater. The research consists of determining the pollution index in Jakarta, analysis of groundwater pollution, and predicted entanglement with an index pollution population density. The research uses spatial interpolation to determine locations. Pollution index calculation used calculation storet. The measurement results in the rate used in the analysis index groundwater pollution. The research results obtained index value has increased pollution are on the north and central of Jakarta. The research results obtained East Jakarta having the condition geology that porous. The value of the groundwater pollution index was in north Jakarta. The results of the study indicated by a map pollution index the quality of groundwater during three periods. Index pollution in Jakarta consisting of pollution until the same as the quality standard. Research shows the absence of correlation with the population with the pollution groundwater quality.
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Sukarja, Detania, and Barran Hamzah Nasution. "Revisiting Legal and Ethical Challenges in Fulfilling Human Right to Clean Air in Indonesia." Jurnal HAM 13, no. 3 (December 22, 2022): 557. http://dx.doi.org/10.30641/ham.2022.13.557-580.
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Pro-investment and development government policies to achieve people’s welfare can potentially violate human right to clean air through business activities that contribute to air pollution. In Jakarta, this condition led to a public lawsuit against the central and regional governments, who were considered liable for the air pollution and harm suffered by the community. This study reviews the concept of the right to clean air as a human right and analyzes the legal and ethical challenges in fulfilling human right to clean air in Indonesia. The discussion includes the relationship between business and human rights, the concept of clean air as a human right and a review of the legal framework to enforce liability and accommodate legal remedies and the private initiatives to drive and implement more responsible choices to reduce air pollution. The method used in this study was a literature study with data analyzed qualitatively. The paper concludes that people’s right to clean air is a fundamental human right. The fulfillment of human right to clean air can be driven by state’s power to impose regulation and the implementation of ethical and responsible business activities by corporations. The government needs to strengthen regulations related to air pollution control and business legal compliance, notably strengthening applicable air quality standards in accordance with evidence-based, internationally recognized standards to protect public health. Similarly, corporations should act as “moral agents” who apply ethical behaviors in their business activities to minimize air pollution.
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Ramadhani, Rizky Fauzi, Sri Suryani Prasetiyowati, and Yuliant Sibaroni. "Performance Analysis of Air Pollution Classification Prediction Map with Decision Tree and ANN." Journal of Computer System and Informatics (JoSYC) 3, no. 4 (September 5, 2022): 536–43. http://dx.doi.org/10.47065/josyc.v3i4.2117.
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Jakarta is a city in Indonesia that has a high population density that must pay attention to its health condition. Good air quality provides positive benefits to support public health so that they can be more productive at work and create fresh and healthy air. This study uses Machine Learning to classify air based on certain attributes. Then, the development of a prediction model based on time data is designed to produce a predictive map of air pollution in Jakarta area for the next 3 years. The methods applied are Decision Tree and Artificial Neural Networks. As a result, the Decision Tree and Artificial Neural Network models show very good accuracy for predictions from 2024 to 2026. The Decision Tree and Artificial Neural Network models get an accuracy of 98% and 94%. In 2025 the Decision Tree and Artificial Neural Network models get 99% and 93% accuracy. In 2026 the Decision Tree and Artificial Neural Network models get an accuracy of 94% and 93% which can be seen from the Decision Tree model which is superior to the Artificial Neural Network with a difference of 1 - 6%.
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Amelia, R., Guskarnali, R. G. Mahardika, C. R. Niani, and N. Lewaherilla. "Predicting particulate matter PM2.5 using the exponential smoothing and Seasonal ARIMA with R studio." IOP Conference Series: Earth and Environmental Science 1108, no. 1 (November 1, 2022): 012079. http://dx.doi.org/10.1088/1755-1315/1108/1/012079.
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Abstract In general, public awareness of air quality in Indonesia is increasing. In accordance with the average concentration of particular PM2.5, air quality in Indonesia has improved from 2020 to 2021. However, in some densely populated cities, poor air quality still occurs continuously, for example Jakarta. PM2.5 pollution prediction will be made using monthly data with a case study Jakarta using the time series method, Exponential Smoothing and Seasonal ARIMA model in R studio. In accordance with the analysis, it is found that the Triple Exponential Smoothing and Seasonal ARIMA (0,1,1)(1,1,1)(12) were chosen to be the selected models. When compared to the actual data, they fluctuate move following the actual data. However, when viewed from the average percentage difference with the actual data, the model whose data is close to the actual data is the Seasonal ARIMA model. It is hoped that by knowing the PM2.5 particulate time series model in Jakarta, it can be used as consideration for predicting the monthly average PM2.5 so that it can be seen which months have the highest PM2.5. So that some people who experience respiratory problems, can predict the highest PM2.5 condition and can anticipate early in case of unhealthy air conditions.
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Listyarini, Sri, and Lina Warlina. "The Development Model of the Policy Alternatives in Controlling Air Pollution in the Jakarta Province, Indonesia." International Journal of Environmental Science and Development 8, no. 7 (2017): 496–500. http://dx.doi.org/10.18178/ijesd.2017.8.7.1003.
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Surury, Istianah, Melikhatun Azizah, and Nastiti Dyah Prastiwi. "Spatial Analysis of Acute Respiratory Infection (ARI) Based On the Air Pollution Standard Index (PSI) at DKI Jakarta Region in 2018-2019." JURNAL KESEHATAN LINGKUNGAN 14, no. 2 (April 28, 2022): 90–98. http://dx.doi.org/10.20473/jkl.v14i2.2022.90-98.
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Introduction: Acute respiratory infection (ARI) is a health problem causing global morbidity and mortality in Indonesia, with 18.8 billion cases and more than six million deaths observed in 2016. Between 2013 and 2018, the diagnosis of ARI prevalence reportedly experienced a 10% decrease from 12.5-2.5%, within 10 provinces, including DKI Jakarta, Indonesia. Methods: This study aims to identify the spatial analysis of ARI events using an ecological method, based on the Air Pollution Standard Index (PSI) at DKI Jakarta between 2018 and 2019. Results and Discussion: Data analysis was performed by mapping case description through Quantum GIS, correlation assessment, as well as linear regression with SPSS scatter plot. Based on the bivariate analysis, the correlation assessment and linear regression of the ARI event with PM10 had positive regression in 2018 and 2019, at (R)0.649 and (R)0.0630, respectively. Conclusion: The highest PM10 values in Kelapa Gading and Cipayung districts increased the case of ARI fluctuations within two years. Therefore, the environmental health service office focused on the air quality evaluation and prevention control of ARI cases.
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Yossy, Emny Harna, Arya Maulana, and Ramadhani Prastyantoro. "Air Pollution Monitoring System Based on IoT with Cloud." PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic 9, no. 2 (September 25, 2021): 119–34. http://dx.doi.org/10.33558/piksel.v9i2.3023.
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Air pollution kills about seven million people worldwide every year. In Indonesia itself, especially the city of Jakarta, Jakarta's air quality has been ranked as the tenth worst in the world. The purpose of the research is to design an air pollution monitoring system that can help the community to know the level of pollution in their area. The system development method uses a system development life cycle, namely the waterfall. The evaluation method uses blackbox testing for the system and eight golden rules for the user interface. The result achieved is a system that can monitor IoT-based air pollution with the cloud. This system uses several technologies such as Google cloud platform which consists of IoT Core, Pub Sub, Firestore Database, and Google Cloud Function. The MQ 135 temperature sensor and ESP 32 module are also used to be able to read air pollution conditions and send it to the cloud. The conclusion of this study is that the system created can be easily accessed by users to be able to determine IoT-based air quality.
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Virgianto, Rista Hernandi, Rayhan Rivaniputra, Nanda Putri Kinanti, Agung Hari Saputra, and Aulia Nisaul Khoir. "A numerical simulation of PM<sub>2.5</sub> concentration using the WRF-Chem model during a high air pollution episode in 2019 in Jakarta, Indonesia." International Journal of Advances in Applied Sciences 11, no. 4 (December 1, 2022): 335. http://dx.doi.org/10.11591/ijaas.v11.i4.pp335-344.
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<span>Jakarta, as a megapolitan city, is always crowded with thousands of vehicles every day which results in decreased air quality due to combustion emissions and may have a significant impact on human health. Particulate matter (PM<sub>2.5</sub>) is a pollutant that has an aerodynamic diameter of fewer than 2.5 micrometers and very easy to enter the human respiratory system so it can affect health. In the dry season, rain as the main natural mechanism for reducing PM<sub>2.5</sub> occurs very rarely, causing an accumulation of PM<sub>2.5</sub> concentrations in the atmosphere. The weather research and forecasting model coupled with chemistry (WRF-Chem) model is a dynamic model that works with atmospheric chemistry combined with meteorological variables simultaneously. This study aims to simulate the concentration of PM<sub>2.5</sub> in Jakarta during the high air pollution episode from 20 to 29 June 2019 with the WRF-Chem model based on the T1-MOZCART chemical scheme. Spatial analysis was conducted to determine the distribution of PM<sub>2.5</sub> concentrations during high air pollution episodes in Jakarta. Validation of the simulation model was based on three observation sites, one in South Jakarta and two in Central Jakarta. The results showed that the highest correlation is 0.3 and the lowest root mean square error (RMSE) is 26.4, while the simulations still tend to overestimate the PM<sub>2.5</sub> concentration.</span>
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Kusuma, Widya Liadira, Wu Chih-Da, Zeng Yu-Ting, Handayani Hepi Hapsari, and Jaelani Lalu Muhamad. "PM2.5 Pollutant in Asia—A Comparison of Metropolis Cities in Indonesia and Taiwan." International Journal of Environmental Research and Public Health 16, no. 24 (December 5, 2019): 4924. http://dx.doi.org/10.3390/ijerph16244924.
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Air pollution has emerged as a significant health, environmental, economic, and social problem all over the world. In this study, geospatial technologies coupled with a LUR (Land Use Regression) approach were applied to assess the spatial-temporal distribution of fine particulate (PM2.5). In-situ observations of air pollutants from ground monitoring stations from 2016–2018 were used as dependent variables, while the land-use/land cover, a NDVI (Normalized Difference Vegetation Index) from a MODIS sensors, and meteorology data allocations surrounding the monitoring stations from 0.25–5 km buffer ranges were collected as spatial predictors from GIS and remote sensing databases. A linear regression method was developed for the LUR model and 10-fold cross-validation was used to assess the model robustness. The R2 model obtained was 56% for DKI Jakarta, Indonesia, and 83% for Taipei Metropolis, Taiwan. According to the results of the PM2.5 model, the essential predictors for DKI Jakarta were influenced by temperature, NDVI, humidity, and residential area, while those for the Taipei Metropolis region were influenced by PM10, NO2, SO2, UV, rainfall, spring, main road, railroad, airport, proximity to airports, mining areas, and NDVI. The validation of the results of the estimated PM2.5 distribution use 10-cross validation with indicated R2 values of 0.62 for DKI Jakarta and 0.84 for Taipei Metropolis. The results of cross-validation show the strength of the model.
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Madani, Rahmat Nur, Raeka Widi Anggeraeni, Dinar Mutia, Dasmo Dasmo, and Ahmad Jahrudin. "MOBERAK (Motor Bebas Bahan Bakar Ramah Lingkungan)." Schrodinger Jurnal Ilmiah Mahasiswa Pendidikan Fisika 1, no. 1 (May 30, 2020): 26–31. http://dx.doi.org/10.30998/sch.v1i1.3070.
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The vehicle is an important requirement for daily activities. The increasing number of vehicles in Indonesia from year to year correlates with the worsening air quality, especially in big cities like Jakarta. Data also shows that 70% of air pollution in Jakarta comes from motorized vehicles that use fossil fuels. One source of energy that can be an alternative solution is electric-powered vehicles because they have advantages, which are not producing pollution. Electric vehicles generally use lithium batteries as a source of electric power. Lithium batteries that have been used up are generally just thrown away without going through the processing so that they will contaminate water and soil. Therefore, we want to make vehicles that are not dependent on fossil fuels, produce no pollution, and can do auto charging electric so they don't rely on PLN electricity. This vehicle can charge independently because it has an electromagnetic coil on the rear wheel that will produce GGL induction from the wheel rotation when the bike is moving. We call this vehicle MOBERAK (Environmentally Friendly Fuel-Free Motorbike).
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Saputra, A., M. H. Ibrahim, S. Shofirun, A. Saifuddin, and K. Furoida. "Assessing urban heat island in Jakarta, Indonesia during the pandemic of Covid-19." IOP Conference Series: Earth and Environmental Science 986, no. 1 (February 1, 2022): 012069. http://dx.doi.org/10.1088/1755-1315/986/1/012069.
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Abstract Jakarta, the capital city of Indonesia, is the most populated area in Indonesia, with a population of 10.56 million people or around 3.91% of the total Indonesian population. Jakarta has also become an important city in Indonesia as around 80% of Indonesian economic activity is located in this area. No doubt, the urban activity caused the air pollution to infuriate its microclimate, including the urban heat island phenomena. During the Covid-19 pandemic, Indonesia applied the partial lockdown for several areas to decrease virus transmission. Most of the transportation and commercial areas were closed, and most people worked from home. This significant shifting will affect the temperature and urban heat island conditions. Thus, the main objective of this research was to analyse the urban heat island during the early stage of the pandemic in Jakarta. We used Landsat 8 imagery to extract the land surface temperature (LST) and generated the urban heat island (UHI). The correlation was used to determine the relationship between the distribution of covid-19 cases with the UHI distribution. From the four different recording times (May, July, September, and December 2020) of Landsat 8 imagery, the highest UHI, 7.76°C was found in December 2020 (the late first year of the pandemic). The lowest UHI, 4.91°C was found in May 2020 (The early stage of the first year). Furthermore, the UHI hot spot moved from almost evenly in East Jakarta in May 2020, a tiny spot in East Jakarta in July and September 2020, and evenly distributed in Southeast Jakarta in December 2020. In addition, we found that the increase of covid-19 cases had a positive correlation with the UHI in Jakarta, which means the areas with the high UHI value have high new covid-19 cases. These results showed that the area with high activities is very prone to covid-19 transmission.
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Kristiadi, Yusuf, Riri Fitri Sari, Herdis Herdiansyah, Hayati Sari Hasibuan, and Tiong Hoo Lim. "Developing DPSIR Framework for Managing Climate Change in Urban Areas: A Case Study in Jakarta, Indonesia." Sustainability 14, no. 23 (November 27, 2022): 15773. http://dx.doi.org/10.3390/su142315773.
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From an environmentally conscious and ecological perspective, the sustainability of cities within the effects of climate change are closely related to the wise use of resources and modifications in the ecological status of the environment. In terms of the ecological environment, the sustainability of smart cities entails meeting present and future societal demands for the environment of the water, land, and air, among others. Environmental and the ecological concerns that arise from rapid climate change and monetary developments are shown in the inconsistency between ecological assets, environmental pollution, and the destruction of nature. In this study, the authors aim to develop a strategy to deal with climate change in urban areas using Remote Sensing and the Driver-Pressure-State-Impact-Response (DPSIR) Framework with a case study in Jakarta Smart City. The DPSIR framework, which will be developed and implemented in the city of Jakarta, is a smarter and more sustainable framework that is evaluated through a systematic evaluation of sustainability with quantitative research using the entropy weight method and Partial Least Square-Structural Equation Modeling (PLS-SEM). These methods evaluate 58 representative elements of environments at the urban level, including the shortcomings of earlier research such as data availability, spatial and temporal constraints, and several related ecological indicators, such as soil pH, wind speed, air quality index as well as land changes in the spatial (spatiotemporal) time series. The results of the study show that in the metropolitan city of Jakarta, the Drivers that are related to climate change are the rate of population growth and the rate of industrial growth which, although increases people’s income and GRDP in Jakarta; it also creates Pressures, namely an increase in the amount of water consumption and in the amount of wastewater. Based on these pressures, the environmental conditions (State) of Jakarta city have undergone several environmental changes, such as loss of water supply, changes in wind speed, changes in rainfall, and increasing concentrations of the Air Pollutant Standard Index. The Impact of these three elements resulted in the increase in household and industrial water consumption, an increase in annual electricity consumption, and deteriorating air quality. Hence, the Response to these four interrelated causal variables is that the Jakarta Provincial Government must increase annual funds for the construction of urban community facilities, increase the production capacity of clean water supply, build environment-friendly wastewater treatment facilities, increase the capacity of waste processing infrastructure and transportation fleets, and educate people to use water wisely to reduce the level of water use.
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Yuwono, Bambang Endro, and Mayang Sari. "AIR POLLUTION PREDICTION MODELS DUE TO TRAFFIC VOLUME AND GREEN OPEN SPACE AVAILABILITY." International Journal on Livable Space 5, no. 1 (March 4, 2020): 41. http://dx.doi.org/10.25105/livas.v5i1.6497.
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ABSTRACT
As the population grows, the development of the city increases, as a result the movement of transportation also increases. The development of the city can also affect a decrease in green open space. Increased vehicle traffic affects the increase in air pollution. Hence, there is very little research that mathematically connects the influence of traffic volume (passenger car units) and green open space with the level of air pollution. Green open space and the level of air pollution are directly measured on the field. Subsequently, the measurement is calculated by using the regression analysis to obtain a model of the relationship between green open space and traffic volume with the level of air pollution. The research was directly conducted at 3 locations, 2 locations in Jakarta (Semanggi and Tanah Kusir) and 1 location in South Tangerang. This model can be applied to predict that air pollution will occur as a result of traffic volume and the availability of green open space.
Keyword: Air pollution, prediction, green open space, traffic volume
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Darmawan, Ede Surya, Purnawan Junadi, Adang Bachtiar, and Mardiati Najib. "Mengukur Tingkat Pemberdayaan Masyarakat dalam Sektor Kesehatan." Kesmas: National Public Health Journal 7, no. 2 (September 1, 2012): 91. http://dx.doi.org/10.21109/kesmas.v7i2.68.
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Pemberdayaan masyarakat adalah salah satu strategi dalam pembangunan kesehatan yang digunakan oleh pemerintah Indonesia. Pemberdayaan masyarakat ini menjadi salah satu fungsi puskemas yang wajib dijalankan oleh seluruh puskesmas di tanah air. Walaupun strategi pemberdayaanmasyarakat sudah lama digunakan, sampai sekarang belum ada instrumen spesifik untuk mengukur tingkat pemberdayaan masyarakat pada sektor pembangunan kesehatan di Indonesia. Penelitian ini bertujuan untuk mengukur tingkat pemberdayaan masyarakat pada level komunitas sebagai wilayah kerja puskesmas di Depok dan Jakarta Selatan. Pemberdayaan masyarakat diukur menggunakan tujuh potensi masyarakat meliputi kepemimpinan, organisasi, dana, sumber daya, teknologi, pengetahuan, dan pengambilan keputusan. Metode pengukuran dilakukan dengan membandingkanketujuh potensi masyarakat di wilayah kerja puskesmas diDepok (32 puskesmas) dan wilayah kerja puskesmas terpilih Jakarta Selatan (28 puskesmas) dengan potensi standar yang dikembangkan peneliti. Hasil penelitian memperlihatkan bahwa tingkat pemberdayaan masyarakat di wilayah kerja puskesmas di Depok umumnya banyak yang memenuhi kategori baik, sebaliknya di Jakarta Selatan banyak kategori kurang. Provinsi Daerah Khusus Ibu Kota Jakarta berupaya pemberdayaan masyarakat dan promotif preventif lebih mudah dilakukan oleh kantor kelurahan daripada puskesmas.Kata kunci: Pemberdayaan masyarakat, pembangunan kesehatan, puskesmasAbstractCommunity empowerment is one of strategies in health development that is used by government of Indonesia. It is also one of puskesmas (primary health center) function that must be run by every primary health center in Indonesia. Though community empowerment has been used for a very long time, there is not any specific instrument to measure level of community empowerment in health sector development in Indonesia. This research aimed at measuring community empowerment at community level using neighbourhood association as work area in two cities in Indonesia, Depok and South Jakarta. Community empowerment is measured using seven community potentials including leadership, organizations, fund, resource, technology, knowledge, and decision making. The measurement method is comparing those community existed potentials with potential standard developedby researcher in 32 primary health center in Depok and 28 selected primary health center in South Jakarta. The result shows that level of community empowerment in primary health center work area in Depok is generally in good categories, but South Jakarta is generally in less category.In Jakarta, the effort of community empowerment and promotive preventive is conducted easier by village administration office than primary health center.Key words: Community empowerment, health development, primary health center
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Warsono, Warsono, Yeftanus Antonio, Slamet B. Yuwono, Dian Kurniasari, Erdi Suroso, Prayudhy Yushananta, Mustofa Usman, and Sutopo Hadi. "Modeling generalized statistical distributions of PM2.5 concentrations during the COVID-19 pandemic in Jakarta, Indonesia." Decision Science Letters 10, no. 3 (2021): 393–400. http://dx.doi.org/10.5267/j.dsl.2021.1.005.
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Understanding the probabilistic or statistical behavior of air concentrations is necessary for the effective management of air pollution, such as PM2.5. Failure to consider the appropriateness of the model can lead to making inferences that are not supported by scientific evidence. The main focus of this article is to find the best statistical distribution in fitting PM2.5 concentrations in the periods of February–June 2018 and February–June 2019 (the periods without COVID-19) and in the period of February–June 2020 (the period with COVID-19) in Jakarta, Indonesia. This article considers making an assessment of the performance of both generalized distributions (e.g., generalized gamma, generalized extreme value, and generalized log-logistic [GLL]) and classical distributions (such as lognormal [LN], gamma, Weibull, log-logistic, and Gumbel) in modeling daily concentrations of PM2.5 in the period of February–June 2020, or the period during which the COVID-19 pandemic is present, in Jakarta. For comparison purposes, this study also analyzed PM2.5 concentrations in the periods of February–June 2018 and February–June 2019. The comparative evaluation of the models of each period of data uses graphical analyses and goodness-of-fit statistics. The results of applications indicate that the generalized distributions fit the data better than do the classical distributions. Particularly, compared with the classical distributions, including the LN model, the GLL distribution is the most appropriate model in fitting PM2.5 concentrations in the periods without and during the period with COVID-19 in Jakarta, Indonesia.
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Nazif, Fauzan, and Mahmud Sudibandriyo. "Production of antipollutan mask based activated carbon from wasted coconut shell." MATEC Web of Conferences 154 (2018): 01005. http://dx.doi.org/10.1051/matecconf/201815401005.
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Indonesia is one of the countries with the highest levels of air pollution in the world. Air pollution in Indonesia, especially in Jakarta due to the number of private vehicles increased at least 10% every year. This air pollution can have an impact on public health. One effort to do as a protection of people health is to use a mask. Activated carbon can be coated to mask in order to improve the effectiveness in reducing the pollutants. One good material used as material for activated carbon is coconut shell. Selection of coconut shell as the raw material of activated carbon is also based on cellulose content of 26.06%, hemicellulose content 27.07% and a lignin content of 29.40% in the dry state. This research was done in some variation such as activation methods, activated carbon mass, and adhesive material types. Based on pollutants adsorption test, mask with 6 grams of activated carbon, chemically activated, and used TEOS as adhesive is the best variation that able to adsorb as much 76,25% of CO2 Pollutants. Mask made in this research, has saturation time as long as 4 hours under high CO2 concentration.
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Wibowo, Nicholas Andreas, and Alvin Hadiwono. "AIR-CHITECTURE: SEBUAH DESAIN BANGUNAN DENGAN PURIFIKASI UDARA SECARA TEKNIS DAN PUITIS DALAM KONTEKS BERHUNI." Jurnal Sains, Teknologi, Urban, Perancangan, Arsitektur (Stupa) 3, no. 1 (May 30, 2021): 589. http://dx.doi.org/10.24912/stupa.v3i1.10748.
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The world has evolved rapidly since the time of the industrial revolution, this progress has also been followed by destruction of nature. Jakarta has the worst air quality compared to other cities. Most of Jakartans are continuously exposed to air pollution because of its mobile lifestyle. Air pollution has claimed lives all over the world, not excluding Jakarta, where people will be faced with deteriorating health, respiratory diseases, and unsecured survival. This makes air pollution an unavoidable threat, which will only grow worse in the future. A question of survival arises, can architecture help humans dwells the city with air pollution? The answer to this question is the main goal of this project; Creating dwelling vessels for city dwellers to be purified from air pollution. Perceptions and the environment needs to be purified from pollution in order to achieve the ideal dwelling. The purification must be able to reach humans from its basic essence, the physical aspect (body) and the non-physical aspect (mind); which means that purification in architecture needs to be carried out in two ways; technically and poetically, where technical purification means creating air free from pollution, and poetic purification means creating experiences that frees the mind from 'pollution'. Through this experience, it is hoped that humans can re-interpret the crucial role of the environment and clean air in the process of dwelling, as well as respecting and protecting the environment. Because when a man thinks of the mortality of mankind, therefore he’ll nurture the sacred mortality of lifes. Keywords: Architecture; Air; Dwelling; Pollution; PurificationAbstrakDunia tempat tinggal manusia telah berkembang pesat sejak masa revolusi industri, namun kemajuan ini juga diikuti oleh kerusakan alam yang mematikan. Jakarta adalah titik polusi udara terparah di Indonesia dimana sebagian besar penduduknya selalu terpapar polusi udara karena gaya hidupnya yang bermobilitas tinggi. Polusi udara telah merenggut banyak jiwa di seluruh dunia, tidak terkecuali Jakarta, dimana di masa depan penduduknya akan dihadapi oleh kesehatan yang memburuk, penyakit pernafasan, hingga kelangsungan hidup yang tidak terjamin. Hal ini menjadikan polusi udara sebagai ancaman yang tidak dapat dihindari yang hanya akan memburuk kedepannya. Timbul sebuah pertanyaan tentang kelangsungan hidup, dapatkah arsitektur membantu manusia berhuni di tengah kota dengan polusi udara? Jawaban dari pertanyaan inilah yang menjadi tujuan dari tulisan ini; Menciptakan wadah berhuni bagi penduduk kota untuk dimurnikan dari polusi udara. Persepsi dan Lingkungan manusia perlu dimurnikan dari polusi untuk dapat mencapai proses berhuni yang ideal. Proses purifikasi harus dapat menjangkau manusia dari esensi dasarnya, yaitu aspek fisik (tubuh), dan aspek non-fisik (pikiran); yang berarti purifikasi dalam arsitektur perlu dilakukan dalam 2 cara, yaitu secara teknis dan secara puitis, dimana purifikasi teknis berarti menciptakan udara bersih bebas dari polusi, dan purifikasi puitis berarti menciptakan pengalaman yang menjernihkan pikiran dari ‘polusi’. Melalui pengalaman purifikasi ini, diharapkan manusia dapat kembali memaknai peran krusial dari lingkungan dan udara bersih dalam proses berhuni, juga menghormati dan menjaga lingkungan. Karena ketika manusia sadar akan kefanaan bumi dan dirinya, niscaya ia akan menjaga kelangsungan hidup dalam kefanaannya.
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Ridlo, Aflakhur. "Analisis Kelembagaan dalam Monitoring Kualitas Air Sungai Ciliwung di Wilayah Provinsi DKI Jakarta." Jurnal Wacana Kinerja: Kajian Praktis-Akademis Kinerja dan Administrasi Pelayanan Publik 20, no. 2 (May 7, 2018): 89. http://dx.doi.org/10.31845/jwk.v20i2.23.
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Institutional research and policy analysis of water quality monitoring of the Ciliwung River has been conducted since the year 2015. This activity is the result of cooperation between the Ministry of Environment and Forestry of Indonesia and the Agency for Assessment and Application of Technology. Due to the complexity of the Ciliwung River flows and water quality problem that passed the administrative authority of DKI Jakarta, the methodology of this study was emphasized in depth interviews to stakeholders in the management of the Ciliwung River. The plan to install some online system of river water quality monitoring is expected to run well and in accordance with existing laws and regulations. In addition, the readiness of the operationalization of this monitoring system to run well. Institutional strengthening forms and open method of coordination can be adopted to reduce communication and coordination barriers that are rigid and Weberian. From this study it is concluded that Jakarta Environmental Management Agency is the strongest candidate as one of the managers of online monitoring system of Ciliwung river water quality. Institutionally public intervention on river management in general can suppress water quality pollution which can threat n the health of people living around Jakarta area. Online Mortitoring system can be utilized by preparing a reliable institutional arrangements
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Purwana, Rachmadi. "Parental Smoking as Health-Risk Factors of Indoor Air Pollution." Kesmas: National Public Health Journal 2, no. 2 (October 1, 2007): 69. http://dx.doi.org/10.21109/kesmas.v2i2.273.
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Statistically significant respiratory symptoms effects of smoking had been reported in many studies. The present paper was a partial report of a public health doctoral dissertation base on a cross-sectional environmental health study done in homes of a slum area in Jakarta, capital of Indonesia where ambient air pollution was significantly high. The paper described that among other factors, smoking was the health risk factor related to the development of respiratory symptoms among 263 children under-five in the research area. The children recruited were without any respiratory symptoms at the beginning of the observation, and then were followed for 2 weeks to detect the occurrence of any respiratory symptoms. Factors relating to physical conditions of homes and household activities were also recorded. Analysis of data was done including the control of confounding factors. A cut-off of 70 mg/m3 indoor PM10 concentration as the surrogate for quantitative measure of smoking was seen as the most specific and sensitive level in relation to the occurrence of respiratory symptoms among the children. The study signified that the consumption of cigarettes was significantly related to the increase of indoor PM10 concentration. Every single cigarette consumed by the father was related to of indoor PM10 increase in the range from 2.6 mg/m3 to 3.9 mg/m3. However, the study was not able to prove any influence on the variation of the indoor PM10 concentrations by the physical factor of the homes studied. The end conclusion of the study showed that in homes of an overcrowded area, parental smoking was the critical factor for the quality of indoor air, hence the health risk to the respiration system of the occupants.Keywords: Indoor PM10, parental smoking, respiratory symptomsAbstrakPengaruh dari kebisaan merokok terhdap gejala gangguan pernapasan telah banyak diteliti. Tulisan ini merupakan bagian dari disertasi doktoral berdasarkan studi potong lintang mengenai kesehatan lingkungan di perumahan kumuh di Jakarta, ibukota Indonesia yang dikenal tinggi polusi udaranya. Studi ini menemukan bahwa di samping faktor-faktor lain, merokok adalah faktor risiko kesehatan untuk gangguan pernapasan pada 263 balita di wilayah penelitian. Anak-anak yang direkrut tidak menunjukkan gejala gangguan pernapasan pada awal observasi dan diikuti selama dua minggu untuk mendeteksi kemunculan gangguan pernapasan. Faktor-faktor yang berhubungan dengan kondisi fisik perumahan dan aktifitas rumah tangga juga dicatat. Analisis data dilakukan dengan pengendalian konfounder. Cut-off yang dianggap paling spesifik dan sensitif dalam kaitannya dengan kemunculan gejala pernapasan pada anak konsentrasi PM10 dalam ruang sebesar 70 mg/m3. Studi ini menemukan bahwa konsumsi sigaret secara signifikan berhubungan dengan konsentrasi PM10 dalam ruang. Setiap batang rokok yang dihisap oleh ayah berhubungan dengan peningkatan PM10 dalam ruang sebesar 2.6 mg/m3 to 3.9 mg/m3. Namun studi ini tidak menemukan hubungan antara kondisi fisik rumah dengan PM10 dalam ruang. Kesimpulan akhir dari studi ini adalah bahwa di perumahan yang padat, kebiasaan merokok orang tua adalah faktor kritik kualitas udara dalam ruang , dan dengan demikian menjadi fakto risiko kesehatan bagi penghuninya.Kata kunci : PM10 dalam ruang, kebiasaan merokok orang tua, gejala pernapasan
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Darajat, Endang. "Kesesuaian Risiko Pencemaran Antara Inspeksi Sanitasi dan Pemeriksaan Bakteriologi pada Air Kolam Renang di DKI Jakarta, 2005." Kesmas: National Public Health Journal 1, no. 2 (October 1, 2006): 69. http://dx.doi.org/10.21109/kesmas.v1i2.315.
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Di Jakarta, setiap hari diperkirakan 8000 orang melakukan aktifitas berenang yang membutuhkan air bersih dalam jumlah yang besar. Air bersih yang digu-nakan berasal dari air tanah dan Perusahaan Air Minum DKI Jakarta. Jumlah orang yang berenang sangat mempengaruhi kualitas air kolam renang yang harus terus dipertahankan agar terhindar dari risiko pencemaran. Penelitian ini bertujuan mengetahui kesesuaian hasil pengukuran risiko pencemaran de-ngan inspeksi sanitasi dan pemeriksaan bakteriologik pada air kolam renang di DKI jakarta tahun 2005 Penelitian yang menggunakan disain studi cross sec-tional mengamati mengamati 30 kolam renang. Variabel yang didiamati adalah 13 variabel inspeksi sanitasi dengan menggunakan adalah univariat dan bi-variat. Hitemukan bahwa 13 (44 %) air kolam renang menunjukkan tingkat risiko pencemaran rendah dan 17 (56%) air kolam renang menunjukkan tingkatrisiko pencemaran tinggi. Sedangkan untuk kualitas bakteriologik diketahui 11 (36,7%) air kolam renang berkualitas baik dan 19 (63,3%) air kolam renangberkualitas buruk. Kesesuaian yang diperoleh adalah 0,733 yang berarti nilai kesesuaian yang baik. Variabel isi air memiliki tingkat risiko pencemaran pa-ling tinggi. Berdasarkan aspek inspeksi sanitasi didapat 8 aspek prediktif dan 5 aspek non–prediktif. Perlu dilakukan pemeriksaan air kolam renang secara berkala serta penyuluhan dan bimbingan pada pengelola kolam renang dan masyarakat tentang kualitas air kolam renang yang baik terhadap kesehatan.Kata Kunci : Kesesuaian, risiko pencemaran, Inspeksi Sanitasi, Kualitas Bakteriologik, Air Kolam Renang, DKI Jakarta.AbstractIt was estimated in Jakarta, more then 8000 people swim everyday, so it requires height volume of clean water that comes from ground water as well as DKI Jakarta Municipal Water Corporation. The quality of the swimming pool water will affect the people health. By conducting surveillance, we are able to know the quality of the water and recommending intervention when needed. The objective of this research is to obtain information about compatibility pollution risk level between measurement results of sanitary inspection and bacteriological assessment of the swimming pool water in Jakarta 2005. The research used a sectional cross design with total sample of 30 swimming pools. Variable used in this research are 13 sanitation inspection variables and analized using bivariate method of analyses. About 17 (56%) of swimming pool water shows the hight risk level of pollolutan . The study also shown that the quality of bacte-riology is bed, (19; 63, 3%) is in bad quality. The total compatibility of the swimming fool water is in a good value 73. Based on sanitation inspection aspect, there are 8 predictive aspects and 5 non predictive aspects. It is important to inspect the swimming pools water periodically, to explain and to guide the swim-ming pools organizers as well as the society about the importance of swimming pools water quality for health.Keywords: Compatibility, Pollution risk level, Sanitary Inspection, Bacteriological assessment, Swimming pool water, DKI Jakarta.
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Dwi Astuti, Ariani, Ramadhani Yanidar, and Yogi Hartanto. "IDENTIFIKASI SUMBER DAN BEBAN PENCEMAR DOMESTIK DI DAS CILIWUNG SEGMEN 4 SERTA UPAYA PENANGGULANGANNYA." INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY 5, no. 4 (September 19, 2016): 117. http://dx.doi.org/10.25105/urbanenvirotech.v5i4.682.
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<p>Sungai Ciliwung merupakan salah satu sungai di Indonesia yang memiliki fungsi sangat penting bagi masyarakat di sekitarnya, yaitu sebagai sumber air baku air minum, irigasi pertanian, transportasi, air industri dan lain-lain. Sungai Ciliwung yang berhulu di Gunung Pangrango dan bermuara di Teluk Jakarta, mengalir sepanjang 117 Km melintasi dua propinsi, yaitu Propinsi Jawa Barat dan Propinsi DKI Jakarta. DAS Ciliwung ini terbagi atas 5 segmen menurut Kementrian Lingkungan Hidup tahun 2006. DAS Ciliwung segmen 4 (empat) yang terdapat di bagian tengah Sungai Ciliwung yang melintasi Kab. Bogor yaitu Kecamatan Cibinong, Bojonggede dan Kota Depok yang melintasi Kecamatan Beji, Limo, Cimanggis, Sukma Jaya, Pancoran Mas serta DKI Jakarta melintasi Kota Jakarta Selatan, Kota Jakarta Timur. Daerah-daerah tersebut merupakan daerah padat penduduk dan industri, yang ditengarai membuang air buangannya ke dalam Sungai Ciliwung. Tujuan penelitian ini adalah untuk melakukan identifikasi sumber dan jenis pencemar, membuat pemetaan tingkat kekumuhan DAS yang berkaitan dengan pengaruhnya terhadap kualitas sungai, menganalisis kualitas air sungai akibat dari kegiatan penduduk di DAS Ciliwung segmen empat dan menentukan upaya penanganannya. Data monografi dari kelurahan setempat diolah dan dibuat pemetaan berdasarkan tingkat kekumuhan. Penilaian tingkat kekumuhan dilakukan terhadap angka kesakitan diare, pelayanan sanitasi lingkungan dan pelayanan air bersih. Dari penilaian tingkat kekumuhan dibuat pemetaan untuk mengidentifikasi sumber pencemar di sepanjang sungai Ciliwung segmen empat. Identifikasi pencemaran dilakukan dengan cara menghitung konsentrasi BOD campuran menggunakan rumus kesetimbangan massa dengan asumsi bahwa hulu Sungai Ciliwung segmen empat adalah hilir dari Sungai Ciliwung segmen tiga, yaitu 25,7mg/liter. Hasil identifikasi menyimpulkan bahwa kualitas air Sungai Ciliwung di segmen empat sudah buruk dari hulunya yaitu Sungai Ciliwung segmen tiga. Hal ini diperkuat dengan perhitungan beban pencemar hasil simulasi dengan asumsi seluruh penduduk terlayani sanitasi, namun tidak memperlihatkan hasil yang signifikan dalam perbaikkan kualitas air sungai. Terjadinya pencemaran air sungai Ciliwung segmen empat ini diakibatkan oleh perilaku masyarakat di sekitar DAS yang kurang akan kesadaran pemeliharaan lingkungan. Ada beberapa upaya yang dilakukan untuk meningkatkan kualitas lingkungan di DAS Ciliwung segmen 4 ini, diantaranya adalah meningkatkan pelayanan air bersih dan meningkatkan pelayanan sanitasi lingkungan. Dengan adanya unit jamban diharapkan terjadi peningkatan kualitas sanitasi dan kesehatan lingkungan di tiap kelurahan, terutama kelurahan-kelurahan yang memiliki sanisitas buruk seperti Kelurahan Tirta Jaya yang paling membutuhkan pengadaan jamban umum yaitu mencapai 1.638 unit. Saran yang dapat diberikan adalah perbaikan dan peningkatan sarana sanitasi dan pelayanan air bersih dan penegakkan hukum untuk pembuangan limbah ke dalam sungai sesuai dengan peraturan yang ada.<br />Keyword : BOD, Pollution Loading, Pollution Source, Ciliwung River Fourth Segment, Slums Level</p>
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Umar, Najirah, Hamdan Gani, Sitti Zuhriyah, Helmy Gani, and Feng Zhipeng. "Assessing the Influence of Mobility Behavior on the Covid-19 Transmission: A Case in the Most Affected City of Indonesia." ILKOM Jurnal Ilmiah 14, no. 1 (April 30, 2022): 17–24. http://dx.doi.org/10.33096/ilkom.v14i1.1043.17-24.
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An emerging outbreak of Covid-19 has now been detected across the globe. Given this pandemic condition, the robust estimation reports are urgently needed. Therefore, this study aims to analyze the impacts of community mobility (before, during, and after the lockdown period) on the spread of the Covid-19 in Jakarta, Indonesia. The secondary data was derived from surveillance data for Covid-19 daily cases from the Health Office of DKI Jakarta Province and the Ministry of Health. The community mobility indicators were retrieved from the Google website. Our results showed that in the pre-lockdown period, the Covid-19 daily cases rapidly increased, while community mobility significantly dropped. The increasing number of Covid-19 daily cases was significantly affected by the number of Covid-19 tests per day rather than community mobility. During the restriction period, the number of Covid-19 tests per day, and community mobility statistically affected the decreasing number of Covid-19 daily cases. Meanwhile, after the lockdown period, the number of Covid-19 daily cases rapidly increased, which significantly has a direct relationship with the increasing level of community mobility. Overall, community mobility and the number of tests per day are the essential variables that explain the number of Covid-19 daily cases in Jakarta, Indonesia. Additionally, this study did not observe any impact of average air temperature and air pollution on the spread of Covid-19. This study figures out that community mobility could potentially explain the progression of Covid-19.
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Saringatin, Siti, Gian Felix Ramadan, Elyana Inggrid Widiastuti, and Sanjiwana Arjasakusuma. "Analysis of Urban Comfort Level in Java Island Based on Air Temperature and Air Quality in 2015 – 2019." Jurnal Geografi Gea 22, no. 1 (April 30, 2022): 77–86. http://dx.doi.org/10.17509/gea.v22i1.44462.
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The island of Java as the center of activity in Indonesia is experiencing uncontrolled urbanization and industrialization. Urbanization and industrialization are sources of air pollution and increases in air temperature, which can increase the risk of health problems for humans and reduce the comfort level of the city. The assessment of the comfort level based on air temperature uses an outdoor thermal comfort (OTC) index, namely universal thermal climate index (UTCI) and physiological equivalent temperature (PET) as well as air quality assessment based on Air Quality Guideline (AQG) criteria. This study focuses on assessing the comfort level of cities in Java based on the relationship between temperature and air quality human health levels in 2015 to 2019, in 10 cities, namely Jakarta, Bandung, Surabaya, Semarang, Tasikmalaya, Malang, Surakarta, Yogyakarta, Cilegon, and Tegal. The technique used is narrative review, recapitulation of secondary data sources from remote sensing and health data. The year 2019 was classified as extreme because there were indications of strong heat stress in 9 cities based on UTCI criteria and there were 3 cities classified as strong heat stress based on PET criteria. The PM2.5 concentration in Malang and Surabaya is at an unsafe level, while the CO concentration is safe based on the AQG. The recapitulation of health data shows an increase in cases of acute respiratory infections (ARI) in Malang, Jakarta, and Tasikmalaya cities which is in line with the trend of data on increasing air temperature and PM2.5 concentrations.
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Lestari, Puji Amrih, and Budi Haryanto. "SO2 Concentration and the Occurrence of Acute Respiratory Infection in Children Under Five." Kesmas: Jurnal Kesehatan Masyarakat Nasional 17, no. 4 (November 30, 2022): 292. http://dx.doi.org/10.21109/kesmas.v17i4.6290.
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Jakarta is the capital city of Indonesia, with 10.7 million inhabitants with poor air quality as of 2020. Higher levels of pollution often come with an increase in the number of health risks and pneumonia cases. This study aimed to determine the association between SO2 concentration and the occurrence of acute respiratory infection in children under five. An ecological time series design was implemented during the study by utilizing secondary data of SO2 concentrations and ARI from the Indonesian Agency for Meteorological, Climatological, and Geophysics, the Special Capital Region of Jakarta Environmental, and Health Office. Statistical correlation tests were performed to analyze the association between SO2 concentration and ARI prevalence in five administrative cities in Jakarta from 2018-2021 based on the rainy and dry seasons. The average concentration of SO2 was 18.06–20.89 μg/m3. There was no significant correlation between SO2 concentration and the occurrence of ARI in children under five in Jakarta in 2018–2021, with a weak relationship (r = 0.24). It seems that children under five in Jakarta spent their time indoors rather than outdoors, so they were exposed to fewer transportation emissions.
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SOFYAN, Asep, Toshihiro KITADA, and Gakuji KURATA. "Implication of Local Flow in Western Java Area for Air Pollution Transport in Jakarta, Indonesia: End of Rainy Season." Proceedings of the Symposium on Global Environment 12 (2004): 219–25. http://dx.doi.org/10.2208/proge.12.219.
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Suglharto, Wibowo Harry, Aditya Akbar Riadi, and Muhammad Imam Ghozali. "Web Based Information System of Carbon Monoxide Pollution." E3S Web of Conferences 73 (2018): 05026. http://dx.doi.org/10.1051/e3sconf/20187305026.
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In Indonesia, carbon monoxide is one of which type of gas used as a parameter in the air pollution. Unfortunately, reporting and monitoring air pollution in Indonesia is regulated in government rules and reported once a day. The value of carbon monoxide concentration always change but the published information is out of date. Without real-time information, people cannot avoid the danger of monoxide pollution toxicity effect. This paper purpose the solution by publishes the real-time information from the carbon monoxide sensor data acquisition. This Research uses the rule-based method to calculate carbon monoxide pollution from data acquisition. Results of experiments show that information generated by the system in accordance with the manual calculation results of carbon monoxide pollution. This research contributed to providing information on real-time carbon monoxide measurement to the public, so the danger of carbon monoxide poisoning can be avoided.
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Santoso, Muhayatun, Philip K. Hopke, Didin Agustian Permadi, Endah Damastuti, Diah Dwiana Lestiani, Syukria Kurniawati, Desie Khoerotunnisya, and Suradi Karto Sukir. "Multiple Air Quality Monitoring Evidence of the Impacts of Large-scale Social Restrictions during the COVID-19 Pandemic in Jakarta, Indonesia." Aerosol and Air Quality Research 21, no. 8 (2021): 200645. http://dx.doi.org/10.4209/aaqr.200645.
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Widasari, Edita Rosana, Barlian Henryranu Prasetio, Hurriyatul Fitriyah, and Reza Hastuti. "Implementation of dataflow programming based Fuzzy Logic algorithm for gas concentration index in around of Sidoarjo mudflow, Indonesia." MATEC Web of Conferences 154 (2018): 03012. http://dx.doi.org/10.1051/matecconf/201815403012.
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Sidoarjo mudflow or known as Lapindo mudflow erupted since 2006. The Sidoarjo mudflow is located in Sidoarjo City, East Java, Indonesia. The mudflow-affected area has high air pollution level and high health risk. Therefore, in this paper was implemented a system that can categorize the level of air pollution into several categories. The air quality index can be categorized using fuzzy logic algorithm based on the concentration of air pollutant parameters in the mudflow-affected area. Furthermore, Dataflow programming is used to process the fuzzy logic algorithm. Based on the result, the measurement accuracy of the air quality index in the mudflow-affected area has an accuracy rate of 93.92% in Siring Barat, 93.34% in Mindi, and 95.96% in Jatirejo. The methane concentration is passes the standard quality even though the air quality index is safe. Hence, the area is indicated into Hazardous level. In addition, Mindi has highest and stable methane concentration. It means that Mindi has high-risk air pollution.
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Anggraeni, Siti Hafidzhah Dyah Ayu, Yusniar Hanani Darundiati, and Tri Joko. "Analisis Konsentrasi PM10 Hasil Pengukuran Stasiun BMKG Kemayoran di Jakarta Pusat Pada Masa Pandemi COVID-19." MEDIA KESEHATAN MASYARAKAT INDONESIA 20, no. 1 (January 19, 2021): 63–69. http://dx.doi.org/10.14710/mkmi.20.1.63-69.
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ABSTRAK Latar belakang: Sumber pencemaran udara yang semakin banyak menyebabkan penurunan kualitas udara. Salah satu polutan adalah kadar PM10 di udara yang dapat menjadi parameter utama dalam pencemaran udara karena PM10 dapat berasosiasi dengan kadar zat pencemar lainnya. Berdasarkan hasil survei pendahuluan berupa pemantauan data SPKU BMKG Kemayoran diperoleh hasil pada tanggal 19 April 2020 konsentrasi PM10 berada pada level melebihi ambang batas pedoman kualitas udara yang dikeluarkan WHO, sedangkan pada masa itu berlaku Pembatasan Sosial Berskala Besar (PSBB) sebagai pencegahan penyebaran COVID-19. Tujuan penelitian ini untuk mengetahui kecenderungan konsentrasi parameter PM10, analisis sesuai baku mutu udara ambien pada masa pandemi COVID-19 dan kategori ISPU PM10.Metode: Metode penelitian ini menggunakan jenis penelitian time series dan dengan rancangan penelitian analisis data sekunder pada tanggal 5 Mei 2020 sampai 5 Juli 2020 dari hasil pengukuran konsentrasi PM10 Stasiun BMKG Kemayoran di Jakarta Pusat. Hasil Hasil penelitian menunjukkan terjadi peningkatan konsentrasi PM10 pada setiap tahapan kegiatan aktivitas masyarakat yang mulai diberlakukan kembali sesuai aturan PSBB Transisi DKI Jakarta, dengan rata-rata harian konsentrasi tertinggi 99 µg/m3. Rata-rata per jam konsentrasi tertinggi PM 10, terjadi pada pukul 07.00 WIB. Berdasarkan pedoman kualitas udara WHO dengan baku mutu 50 µg/m3 , dari 50 hari pengamatan terdapat 34 hari melebihi baku mutu WHO. ISPU PM10 16 hari kategori baik dan 34 hari kategori sedang.Simpulan: Konsentrasi PM10 meningkat pada saat Pembatasan Sosial Berskala Besar Transisi mulai diberlakukan, 34 hari konsentrasi PM10 melebihi baku mutu udara ambien WHO dan 34 hari ISPU PM10 berada dikategori sedang.Kata kunci: PM10; pencemaran udara; PSBB transisi; ISPU ABSTRACT Title: Analysis of PM10 Concentration Result of Measurements Stations Meteorogical, Climatological Geophysical Agency Kemayoran Central Jakarta in Pandemic COVID-19 Background: Human activities contribute to decreased air quality, one of which is PM10 levels. Based on the results of a preliminary survey in the form of monitoring the air quality monitoring station BMKG Kemayoran data, it was found that on April 19, 2020 the concentration of PM10 was at a level exceeding the threshold for air quality guidelines issued by WHO, while at that time Large-Scale Social Restrictions (PSBB) to prevent the spread of COVID-19. The purpose of this study was to determine air quality with PM10 concentration parameters measured by the Stations Meteorogical, Climatological Geophysical Agency Kemayoran Central Jakarta in Pandemic COVID-19.Method: The method of research is to use the type of research time series and the design of the study analyzes the data secondary on the date of May 5, 2020 to July 5, 2020 of the results of the measurement of the concentration of PM10 Stations BMKG Kemayoran in Central Jakarta. The data analysis used is univariate analysis and calculation of the Air Pollution Index (API).Result: The results showed that there was an increase in PM10 concentration at each stage of community activity which was re-enforced according to the PSBB Transitional regulation than during previous PSBB phase, with the highest daily average concentration of 99 µg/m3. Average hourly concentration of the highest PM10, occurred on at 07.00 pm. Based on guidelines WHO air quality standard of 50 µg/m3 , from 50 days of observation there were 34 days that exceeded the WHO quality standard. Air Pollution Index PM10 16 days in good category and 34 days in moderate category. Conclusion: PM10 concentrations increased when the PSBB Transitional began enforcing regulations enforced than during previous PSBB phase, 34 days PM10 concentrations exceeded WHO ambient air quality standards and 34 days air pollution index PM10 was in the moderate category. Keywords:PM1; air pollution; PSBB transition; air pollution index
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Imami, Ahmad Daudsyah, Driejana Driejana, Ernesto Reyes Villegas, and Gordon McFiggans. "EVALUATION OF ALPHASENSE OPC-N2 SENSOR FOR PM10 MEASUREMENT IN THE NORTH JAKARTA." ASEAN Engineering Journal 12, no. 2 (June 1, 2022): 243–48. http://dx.doi.org/10.11113/aej.v12.17853.
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Spatial and temporal data of particulate matter (PM) are limited in Indonesia; hence cost-effective and robust instruments to monitor PM concentration could complete data coverage. The low-cost sensor (LCS) Alphasense OPC-N2 provides real-time PM concentration data and is relatively simple to install and deploy. This paper presents data from an OPC-N2 sensor collocated with a PM10 Beta Attenuation Monitor (BAM). The study was carried out at an air quality monitoring site in North Jakarta belonging to the provincial government. The location is considered suitable for evaluating the performance of OPC-N2 micro sensor as it is a representative of a typical Indonesian urbanized area with a range of pollutant sources, including sea-sourced aerosols. At the same site, a filter-based Gent Sampler (GS) measuring both PM10 and PM2.5 was also deployed. The study showed that 30-minutely and daily average concentrations data for PM10 measured by OPC-N2 were lower than that of BAM measurements in both averaged durations by approximately 50%. The comparison between OPC-N2 and GS for PM10 showed that OPC-N2 measurement was underestimated but it was overestimated for PM2.5. Nonetheless, correlations of OPC-N2 and BAM were 0.530 and 0.607 for PM10 and PM2.5, respectively. These results were comparable to other low-cost sensor evaluation studies in different countries, suggesting that the sensor can represent temporal variation of the reference measurement.
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Hananto, Valentinus Roby, and I. Gusti Ngurah Alit Widana Putra. "A Dashboard System for Monitoring Air Pollution in Surabaya based on PM2.5." Journal of Information Systems Engineering and Business Intelligence 4, no. 2 (October 28, 2018): 139. http://dx.doi.org/10.20473/jisebi.4.2.139-147.
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In developing countries where population grows rapidly, air pollution has been a serious issue for the public health. Among various pollutants, fine particulate matters (PM2.5) is associated with distinct serious health problems, e.g., asthma, cancer, cardiovascular and respiratory diseases. To raise the awareness of the community and decision makers in order to solve the air-pollution problem, the level of the PM2.5 index should be monitored. In this paper, we propose a dashboard system for monitoring air pollution based on PM2.5. A portable device (i.e., Edimax Airbox) was installed inside the building of Stikom Surabaya college to measure the PM2.5 level. The sensors in this device read the PM2.5 level, air temperature, and humidity level, and then it transmits the data to the cloud service. The cloud platform makes the collected data accessible through an open data API that allows our system to interact with the data in the JSON format. The data then was parsed in a web server and visualized in a dashboard system. The dashboard system provides two indicators, the live PM2.5 sensor measurement and the measurement history. The dashboard successfully visualized the indicator of air pollution index, based on PM2.5 standards by WHO and Dinas Kesehatan Indonesia (the Indonesian Department of Health). Within seven days of the study, PM2.5 level reaches the maximum value of 65 µg/m3 with the average value of 39.36 µg/m3 on July 8, 2018. This is an alarming rate given that the indoor average level threshold of PM2.5 by WHO is 25 µg/m3.
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Nurwidyaningrum, Dyah, Setyo S. Moersidik, Emirhadi Suganda, and Suganda Kusnoputranto. "Residents’ Health Awareness of the Sustainability of Indoor Air Quality in High Rise Building." International Journal of Engineering & Technology 7, no. 4.38 (December 3, 2018): 1270. http://dx.doi.org/10.14419/ijet.v7i4.38.27803.
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This study was concerned with the residents’ health awareness of their behavior which affected indoor air quality (IAQ) in high rise building in Jakarta, Indonesia. This analysis was aimed to describe the difference between the strength of the influence of residents’ dimension to IAQ in unit with knowledge variable and that of without knowledge variable. The behavior based on health knowledge became the parameter of health awareness. The descriptive result indicated that the residents in Rusunami high rise building were well-educated people but not all of them had good behavior. Participants whose occupations are related to health tended to take care of indoor air quality better than those from other occupation. With the structural equation modeling (SEM), the construct of residents’ dimension was formulated based on physical and psychological comfort, as well as involving the healthy life participation and pollution activities. It was found that this combination drove behavioral change to IAQ in high rise building. Partial Least Square analysis showed that the knowledge of IAQ could raise the effect of residents’ dimension to IAQ in unit from 15.2% to 16.6%.
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Ahmad, Fia, and Gatot Soepriyanto. "Analisis sustainability peformance pada perusahaan di bursa efek indonesia sebelum dan selama Covid 19." Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan 4, no. 11 (June 25, 2022): 5094–99. http://dx.doi.org/10.32670/fairvalue.v4i11.1828.
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This study aims to explore differences in performance between the period before Covid 19 and the period during Covid 19. This study uses financial reports and corporate sustainability reports in various industries listed on the IDX as research objects and uses the Wilcoxon test as a method that compares the period before Covid 19, namely 2018 - 2019 and the period during Covid 19 in 2020. The results showed that there was a significant decrease in economic performance of 16.37, a significant increase in performance. social and environmental are 10.39 and 72.47, respectively. This decline in economic performance occurred as a result of the implementation of social distancing, restrictions on travel and tourism, and the decline in people's purchasing power. On the other hand, these regulations lead to a decrease in electricity consumption in the Java Bali area and a decrease in air pollution, especially in Jakarta. Meanwhile, the increase in social performance occurred due to the widespread assistance from companies for the surrounding community, especially those dealing with Covid 19.