Artículos de revistas sobre el tema "SPSS series in data analysis"
Siga este enlace para ver otros tipos de publicaciones sobre el tema: SPSS series in data analysis.
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "SPSS series in data analysis".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
1
Jatnika, Ratna, Mustofa Haffas y Hendriati Agustiani. "Developing the UNPAD SAS (Universitas Padjajaran Statistical Analysis Series) Software". SISFORMA 5, n.º 1 (31 de mayo de 2018): 8. http://dx.doi.org/10.24167/sisforma.v5i1.1172.
Texto completoResumen
Student in Faculty of Psychology think that Statistics is very difficult for them, because Statistics is viewed as a hard science than Psychology which is viewed as a soft science. Various attempts have been made to improve student attitudes toward statistics, so that student have more positive attitudes. One of the efforts is to transform the curiculum of Statistics in Faculty of Psychology UniversitasPadjadjaran by adding SPSS (Statistical Packages for Social Sciences) practicum courses since 2009. There are a variety of data analysis contained in SPSS can be used for data processing. However, there are still some statistical data analysis used by students of the Faculty of Psychology that is not available in SPSS. The aimed of this research is to develop software namely UniversitasPadjadjaran Statistical Analysis Series, which is statistical data analysis software that consist analysis that does not exist in SPSS or other data analysis software. In this preliminary research, modules are developed only for Database Management and Descriptive Statistics.The software development will be carried out by (SDLC = Software Development Life Cycle). SDLC is a series of step or phase that presents a model for development and lifecycle management software or applications.The resulting software is tested on 144 students in Psychology Faculty in UniversitasPadjadjaran. The trial results showed that the software is most appropriate and "user friendly" software.
2
Sandi A, Arif Setia, Deny Nugroho Triwibowo, Raden Bagus Bambang Sumantri y Rito Cipta Sigitta Haryono. "PELATIHAN PENGGUNAAN APLIKASI SPSS UNTUK MENUNJANG TUGAS AKHIR MAHASISWA". Jurnal Pengabdian Pada Masyarakat METHABDI 3, n.º 2 (31 de diciembre de 2023): 195–99. http://dx.doi.org/10.46880/methabdi.vol3no2.pp195-199.
Texto completoResumen
The training activity on the usage of the Statistical Analysis SPSS Application (Statistical Package for the Social Sciences) was conducted to enhance students' skills in analyzing data to support the completion of their final assignments. This article elucidates the methods and benefits of this training, tailored to suit the students' material needs, aiding them in finalizing their assignments. These sessions were conducted through a series of workshops accommodating students from diverse scientific backgrounds. The outcomes of these activities provided insights into the competency and proficiency regarding SPSS application use in enhancing students' statistical analysis skills. The implications of these activities could serve as a guide for higher education institutions in designing training programs that support the development of student’s academic skills in data analysis, thereby bolstering their final assignment requirements. The results of these activities demonstrate a significant improvement in students' understanding of statistical concepts, SPSS utilization, and the necessary data analysis skills required for final assignment research.
3
Zaenudin, Zaenudin, Arie Kurniawan y M. A. S. Sridjoko Darodjatun. "Trade Analysis of Factors Affecting Sales of Retail Sukuk Series SR009". SKETSA BISNIS 10, n.º 1 (26 de julio de 2023): 65–84. http://dx.doi.org/10.35891/jsb.v10i1.3941.
Texto completoResumen
English Version
Retail Sukuk is one of the mechanisms carried out by the government in fulfilling APBN financing as well as an attractive investment instrument for the public. As an investment instrument, there is a need for research on the determinants of trade in the market. This study uses a quantitative method with the dependent variable trading volume SR09, while the independent variables are retail sukuk prices, deposit rates, sharia deposit profit sharing ratios, retail state bond prices, BI middle rate, inflation, BI 7-Day Repo Rate. . The data used are time-series secondary data for each variable from April 2017 to March 2020. After the data was processed using the SPSS 25 application, it was found that after the data was processed using the SPSS 25 application, the results were that Retail Sukuk Price SR009, Bank Deposit Interest Rate, BI Middle Rate, Negative Effect of Retail Sukuk Trading Volume SR09, Inflation (X6), and BI 7-Day Repo Rate (X7) on Ri Sukuk Trading Volume tel SR09. Meanwhile, the Sharia Banking Profit Sharing Ratio has a positive effect on the Trading Volume of Retail Sukuk SR09. The next result is that the seven variables simultaneously affect the dependent variable.
Versi Indonesia
Sukuk Ritel merupakan salah satu mekanisme yang dilakukan pemerintah dalam pemenuhan pembiayaan APBN sekaligus sebagai instrumen investasi yang menarik bagi masyarakat. Sebagai instrumen investasi, perlu adanya penelitian tentang faktor-faktor penentu perdagangan di pasar. Penelitian ini menggunakan metode kuantitatif dengan variabel dependen volume perdagangan SR09, sedangkan variabel independennya adalah harga sukuk ritel, suku bunga deposito, nisbah bagi hasil deposito syariah, harga obligasi negara ritel, kurs tengah BI, inflasi, BI 7-Day Repo Rate. . Data yang digunakan adalah data sekunder time-series masing-masing variabel dari bulan April 2017 sampai dengan Maret 2020. Setelah data diolah menggunakan aplikasi SPSS 25, didapatkan hasil bahwa Setelah data diolah menggunakan aplikasi SPSS 25 didapatkan hasil bahwa Harga Sukuk Ritel SR009, Suku Bunga Deposito Bank, Kurs Tengah BI, Pengaruh Negatif Volume Perdagangan Sukuk Ritel SR09, Inflasi (X6), dan BI 7-Day Repo Rate (X7) terhadap Volume Perdagangan Sukuk Ritel SR09. Sedangkan Rasio Bagi Hasil Perbankan Syariah berpengaruh positif terhadap Volume Perdagangan Sukuk Ritel SR09. Hasil selanjutnya adalah ketujuh variabel tersebut secara simultan berpengaruh terhadap variabel dependen.
4
Kumar, Varun, Abhay Singh, Mrinmoy Adhikary, Shailaja Daral, Anita Khokhar y Saudan Singh. "Seasonality of Tuberculosis in Delhi, India: A Time Series Analysis". Tuberculosis Research and Treatment 2014 (2014): 1–5. http://dx.doi.org/10.1155/2014/514093.
Texto completoResumen
Background. It is highly cost effective to detect a seasonal trend in tuberculosis in order to optimize disease control and intervention. Although seasonal variation of tuberculosis has been reported from different parts of the world, no definite and consistent pattern has been observed. Therefore, the study was designed to find the seasonal variation of tuberculosis in Delhi, India.Methods. Retrospective record based study was undertaken in a Directly Observed Treatment Short course (DOTS) centre located in the south district of Delhi. Six-year data from January 2007 to December 2012 was analyzed. Expert modeler of SPSS ver. 21 software was used to fit the best suitable model for the time series data.Results. Autocorrelation function (ACF) and partial autocorrelation function (PACF) at lag 12 show significant peak suggesting seasonal component of the TB series. Seasonal adjusted factor (SAF) showed peak seasonal variation from March to May. Univariate model by expert modeler in the SPSS showed that Winter’s multiplicative model could best predict the time series data with 69.8% variability. The forecast shows declining trend with seasonality.Conclusion. A seasonal pattern and declining trend with variable amplitudes of fluctuation were observed in the incidence of tuberculosis.
5
Jiang, Fengchang, John Awaitey y Haiyan Xie. "Analysis of Construction Cost and Investment Planning Using Time Series Data". Sustainability 14, n.º 3 (1 de febrero de 2022): 1703. http://dx.doi.org/10.3390/su14031703.
Texto completoResumen
Construction costs and investment planning are the decisions made by construction managers and financial managers. Investment in construction materials, labor, and other miscellaneous should consider their huge costs. For these reasons, this research focused on analyzing construction costs from the point of adopting multivariate cost prediction models in predicting construction cost index (CCI) and other independent variables from September 2021 to December 2022. The United States was selected as the focal country for the study because of its size and influence. Specifically, we used the Statistical Package for Social Sciences (SPSS) software and R-programming applications to forecast the elected variables based on the literature review. These forecasted values were compared to the CCI using Pearson correlations to assess influencing factors. The results indicated that the ARIMA model is the best forecasting model since it has the highest model-fit correlation. Additionally, the number of building permits issued, the consumer price index, the amount of money supply in the country, the producer price index, and the import price index are the influencing factors of investments decisions in short to medium ranges. This result provides insights to managers and cost planners in determining the best model to adopt. The improved accuracies of the influencing factors will help to enhance the control, competitiveness, and capability of futuristic decision-making of the cost of materials and labor in the construction industry.
6
Liu, Wuwei y Jingdong Yan. "Financial Time Series Image Algorithm Based on Wavelet Analysis and Data Fusion". Journal of Sensors 2021 (26 de abril de 2021): 1–11. http://dx.doi.org/10.1155/2021/5577852.
Texto completoResumen
In recent years, people are more and more interested in time series modeling and its application in prediction. This paper mainly discusses a financial time series image algorithm based on wavelet analysis and data fusion. In this research, we conducted an in-depth study on the scale decomposition sequence and wavelet transform sequence in different scale domains of wavelet transform according to the scale change rule based on wavelet transform. We use wavelet neural network with different input neurons and hidden neurons to predict, respectively. Finally, the prediction results are integrated into the final prediction results based on the original time series by using wavelet reconstruction technology. Using RBF algorithm in neural network and SPSS Clementine, the wavelet transform sequences on five scales are modeled. Each network model has three layers: one input layer, one hidden layer, and one output layer, and each output layer has only one output element. In order to compare the prediction effect of the model proposed in this study, the ordinary RBF network is used to model and predict the log yield itself. When the input sample is 5, the minimum mean square error is obtained when the hidden layer is 6, and the mean square error is 1.6349. The mean square error of the training phase is 0.0209, and the validation error is 1.6141. The results show that the prediction results of the wavelet prediction method combined with the RBF network prediction method are better than those of wavelet prediction or RBF network prediction.
7
He, Juan y Xin Ma. "Empirical Analysis on Regression Model Based on Time Series and Cross Section Data of Hot-Rolled Coil Price". Applied Mechanics and Materials 198-199 (septiembre de 2012): 876–79. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.876.
Texto completoResumen
This paper, considering the lack of empirical analysis on price risk of inventory based on large-sample, introduces factor analysis method, multiple regression method and SPSS 17.0 to make an empirical analysis on hot-rolled coil price forecasting model by analyzing the characteristics of its price fluctuation. The results show that there is small difference between forecast result and the actual one and that this forecast method is feasible.
8
Ghani, Usman, Peter Toth y Fekete David. "Predictive Choropleth Maps Using ARIMA Time Series Forecasting for Crime Rates in Visegrád Group Countries". Sustainability 15, n.º 10 (16 de mayo de 2023): 8088. http://dx.doi.org/10.3390/su15108088.
Texto completoResumen
Geographical mapping has revolutionized data analysis with the help of analytical tools in the fields of social and economic studies, whereby representing statistical research variables of interest as geographic characteristics presents visual insights. This study employed the QGIS mapping tool to create predicted choropleth maps of Visegrád Group countries based on crime rate. The forecast of the crime rate was generated by time series analysis using the ARIMA (autoregressive integrated moving averages) model in SPSS. The literature suggests that many variables influence crime rates, including unemployment. There is always a need for the integration of widespread data insights into unified analyses and/or platforms. For that reason, we have taken the unemployment rate as a predictor series to predict the future rates of crime in a comparative setting. This study can be extended to several other predictors, broadening the scope of the findings. Predictive data-based choropleth maps contribute to informed decision making and proactive resource allocation in public safety and security administration, including police patrol operations. This study addresses how effectively we can utilize raw crime rate statistics in time series forecasting. Moreover, a visual assessment of safety and security situations using ARIMA models in SPSS based on predictor time-series data was performed, resulting in predictive crime mapping.
9
Zheng, Jie, Shunping Ouyang, Jian Kang y Youcun Xiao. "Prediction Method Based on Time Series". Highlights in Science, Engineering and Technology 47 (11 de mayo de 2023): 24–31. http://dx.doi.org/10.54097/hset.v47i.8160.
Texto completoResumen
In order to predict the development trend of a set of time series data in Yunnan Province in 2023, we collected the daily number of confirmed cases in Yunnan Province from 2020 to 2022. Firstly, according to the data analysis of the current situation of prevention and control in Yunnan Province, ARIMA model is used to predict in SPSS system. The final results showed that the number of confirmed cases in Yunnan Province in each month of 2023 showed a slow upward trend, eventually reaching more than 400. It is recommended to pay attention to the publicity of prevention and control in each state and the popularization of medical equipment.
10
Zsofia J., TOSZEGI, ERAT David y VARGA Aranka. "NEURODIVERSITY IN HIGHER EDUCATION: TIME SERIES DATA ANALYSIS OF THE NEPTUN UNIFIED EDUCATION SYSTEM". Academis notes. Series: Pedagogical sciences 5 (23 de noviembre de 2023): 82–94. http://dx.doi.org/10.59694/ped_sciences.2023.05.0082.
Texto completoResumen
This paper is linked to the current Diversity, Equality, and Inclusion research in higher education. It uses the Process Model of Inclusion to describe educational data of student groups with special needs, with a particular focus on neurodiversity at the University of Pécs (UP). It explores differences that can be identified when comparing student groups over a 10-year time-series analysis of student data from the Neptun Unified Education System (N = 47,194). Using SPSS, we explore admission rates and faculty distribution at entry, supporting factors during the process, and achievement indicators at the time of exiting university. Our results reveal that neurodivergent students appear in the largest proportion among student groups, nearly half of them receive scholarships, about a third of them acquire language proficiency exam certificates before graduation, and only a quarter of them receive dormitory placement. However, the logistic regression analysis substantiates the rather surprising outcome that neurodivergent students are the most likely to graduate successfully from UP, and they are the least likely to defer semesters during their course of study. Our macro-statistical data provide valuable starting points for our ongoing qualitative research that strives to look beyond these numbers for explanations. Keywords: Process Model of Inclusion, higher education, neurodiversity.
11
Kembhavi, Ravindra S. y Saurabha U. S. "Time series analysis of dengue cases reporting to a tertiary care hospital". International Journal Of Community Medicine And Public Health 6, n.º 5 (27 de abril de 2019): 2200. http://dx.doi.org/10.18203/2394-6040.ijcmph20191844.
Texto completoResumen
Background: Dengue fever is a major public health problem, the concern is high as the disease is closely related to climate change.Methods: This was a retrospective study, conducted for 1 year in a tertiary care hospital in the city of Mumbai. Data of Dengue cases and climate for the city of Mumbai between 2011 and 2015 were obtained. Data was analysed using SPSS- time series analysis and forecasting model.Results: 33% cases belonged to the 21-30 years, proportion of men affected were more than women. A seasonal distribution of cases was observed. A strong correlation was noted between the total number of cases reported and (a) mean monthly rainfall and (b) number of days of rainfall. ARIMA model was used for forecasting.Conclusions: The trend analysis along with forecasting model helps in being prepared for the year ahead.
12
Maulina, Anggun. "ANALISIS PENGARUH ANGKATAN KERJA DAN INFLASI TERHADAP KONSUMSI MASYARAKAT". Jurnal Saintifik (Multi Science Journal) 20, n.º 1 (31 de enero de 2022): 27–36. http://dx.doi.org/10.58222/js.v20i1.40.
Texto completoResumen
This study aims to determine the analysis effect of variables of Economically active and Inflation of Consumption by Indonesia Society. This research uses secondary data (time series) which derived from Bank Indonesia’s data (BI) from 2002 to the second of 2014. The method of analisys are Multiple Regerssion using SPSS program. Estimation result with series data using multiple linear regression show that Economically Active have significant positive influence on Comsumtion by Indonesia society, and inflation not have significanct influence on Comsumtion by Indonesia society.
ABSTRAK
Penelitian ini bertujuan untuk mengetahui analisis pengaruh variabel Aktif Ekonomi dan Inflasi Konsumsi Masyarakat Indonesia. Penelitian ini menggunakan data sekunder (time series) yang berasal dari data Bank Indonesia (BI) dari tahun 2002 sampai kedua tahun 2014. Metode analisis yang digunakan adalah Multiple Regersion dengan menggunakan program SPSS. Hasil estimasi dengan data deret menggunakan regresi linier berganda menunjukkan bahwa Economically Active berpengaruh positif signifikan terhadap Konsumsi masyarakat indonesia, dan inflasi tidak berpengaruh signifikan terhadap Konsumsi masyarakat indonesia
13
Liu, Jun Liang, Xu Chen y Tie Jian Zhang. "Application of Time Series-Exponential Smoothing Model on Urban Water Demand Forecasting". Advanced Materials Research 183-185 (enero de 2011): 1158–62. http://dx.doi.org/10.4028/www.scientific.net/amr.183-185.1158.
Texto completoResumen
Based on the traditional time series methods, this paper researched a time series-exponential smoothing model that is built by SPSS statistical analysis software. In the application of the model, the original data of water consumption were in processed by a particular smoothing method first.Secondly, the processed data were used to build a time series-exponential smoothing model. On error test, we found that this forecasting model has advantages of better effect, high precision and minor error on urban water demand forecasing.
14
Champion, Robert, Leigh D. Kinsman, Geraldine A. Lee, Kevin A. Masman, Elizabeth A. May, Terence M. Mills, Michael D. Taylor, Paulett R. Thomas y Ruth J. Williams. "Forecasting emergency department presentations". Australian Health Review 31, n.º 1 (2007): 83. http://dx.doi.org/10.1071/ah070083.
Texto completoResumen
Objective: To forecast the number of patients who will present each month at the emergency department of a hospital in regional Victoria. Methods: The data on which the forecasts are based are the number of presentations in the emergency department for each month from 2000 to 2005. The statistical forecasting methods used are exponential smoothing and Box?Jenkins methods as implemented in the software package SPSS version 14.0 (SPSS Inc, Chicago, Ill, USA). Results: For the particular time series, of the available models, a simple seasonal exponential smoothing model provides optimal forecasting performance. Forecasts for the first five months in 2006 compare well with the observed attendance data. Conclusions: Time series analysis is shown to provide a useful, readily available tool for predicting emergency department demand. The approach and lessons from this experience may assist other hospitals and emergency departments to conduct their own analysis to aid planning.
15
Hamidi Machekposhti, Karim, Hossein Sedghi, Abdolrasoul Telvari y Hossein Babazadeh. "Modelling rainfall in Karkheh dam reservoir of Iran using time series analysis (stochastic ARIMA models)." Lebanese Science Journal 18, n.º 2 (27 de diciembre de 2017): 204–18. http://dx.doi.org/10.22453/lsj-018.2.204-218.
Texto completoResumen
Time series analysis and prediction has become a major tool in different applications in meteorological and hydrological phenomena, such as rainfall, temperature, evaporation, flood, drought etc. Among the most effective approaches for analyzing time series data is the auto regressive integrated moving average (ARIMA) model introduced by Box and Jenkins. In this study we used Box-Jenkins methodology to build non-seasonal ARIMA model for annual rainfall data of Karkheh dam reservoir in Iran for Jelogir Majin and Pole Zal stations (upstream of Karkheh dam reservoir) for the period 1966-2015. In this paper, ARIMA 8.1.1 and 9.1.1 models were found adequate for annual rainfall at Jelogir Majin and Pole Zal stations, respectively, and these models were used to predict the annual rainfall for the coming ten years to help decision makers to establish priorities in terms of water demand management. The statistical analysis system (SAS) and statistical package for the social science (SPSS) softwares were used to determine the best model to use for these series.
16
Yu, Xinwei y Meixuan Zhu. "Research on Sustainable Development of Food Systems Based on Data Mining Technology". Highlights in Science, Engineering and Technology 66 (20 de septiembre de 2023): 151–56. http://dx.doi.org/10.54097/hset.v66i.11681.
Texto completoResumen
With the progress of society, the problem of people's food and clothing has been basically solved, but the unbalanced development makes the level of sustainability of the food system incompatible with the level of modern technological development. Based on SPSS, MATLAB, and PYTHON computing software and data mining techniques such as factor analysis and time series analysis, this paper constructs a food system security evaluation index system and gives the contribution rate of each index to the efficiency, effectiveness, equity, and sustainability of the food system security. A linear programming model favoring the sustainable development of the food system was constructed, and the incentive strategy for sustainable development was given according to the load of sustainable development factors. The validity and feasibility of the model were tested.
17
Khanna, Prateek y Mayank Malviya. "Identification of Success Factors for Mirzapur Web Series". Shanlax International Journal of Management 8, n.º 2 (1 de octubre de 2020): 21–27. http://dx.doi.org/10.34293/management.v8i2.3351.
Texto completoResumen
With the emergence of web series in the Indian market, there has been increasing in the viewership among youth. This study focuses on the statistical technique using the factor analysis on constructing the success factors of the Mirzapur web series. The data were collected using a survey questionnaire, and the methodologies used were descriptive statistics and factor analysis. SPSS 20 was used to perform for statistical analysis of the data. The target age group respondents for this study were 18-35 years of age. The results showed some factors were successfully constructed using factor analysis and identifying the success factors of the Mirzapur web series; which is series surrounded with Kaleen bhaiya character, violence, politics, and aggression was the factor why this Mirzapur web series was a great hit, web series like Mirzapur are the future of entertainment industries, availability of the internet and low cost, reflecting the real culture of Mirzapur, language used in the web series similar to the language used in Mirzapur. There are currently more than 500 million people in India, who are online, and it will expand in the future as people are accepting the Internet as a medium for entertainment. This study helps entertainment industries, especially for the upcoming web series.
18
Kumar, Varun, Abha Mangal, Sanjeet Panesar, Geeta Yadav, Richa Talwar, Deepak Raut y Saudan Singh. "Forecasting Malaria Cases Using Climatic Factors in Delhi, India: A Time Series Analysis". Malaria Research and Treatment 2014 (23 de julio de 2014): 1–6. http://dx.doi.org/10.1155/2014/482851.
Texto completoResumen
Background. Malaria still remains a public health problem in developing countries and changing environmental and climatic factors pose the biggest challenge in fighting against the scourge of malaria. Therefore, the study was designed to forecast malaria cases using climatic factors as predictors in Delhi, India. Methods. The total number of monthly cases of malaria slide positives occurring from January 2006 to December 2013 was taken from the register maintained at the malaria clinic at Rural Health Training Centre (RHTC), Najafgarh, Delhi. Climatic data of monthly mean rainfall, relative humidity, and mean maximum temperature were taken from Regional Meteorological Centre, Delhi. Expert modeler of SPSS ver. 21 was used for analyzing the time series data. Results. Autoregressive integrated moving average, ARIMA (0,1,1) (0,1,0)12, was the best fit model and it could explain 72.5% variability in the time series data. Rainfall (P value = 0.004) and relative humidity (P value = 0.001) were found to be significant predictors for malaria transmission in the study area. Seasonal adjusted factor (SAF) for malaria cases shows peak during the months of August and September. Conclusion. ARIMA models of time series analysis is a simple and reliable tool for producing reliable forecasts for malaria in Delhi, India.
19
Burtiev, R. Z., Yu V. Semenova, V. T. Kiriyak, E. V. Sidorenko, S. V. Troyan, V. Yu Kardanets y D. I. Nuka. "Analysis of time series by the example of registration of variations in the gravitational field". Geofizicheskiy Zhurnal 43, n.º 4 (5 de octubre de 2021): 76–90. http://dx.doi.org/10.24028/gzh.v43i4.239960.
Texto completoResumen
In this work, a time series model is used to study the structure of gravimetric data series to identify patterns in the change in the levels of the series and build its model in order to predict and study the relationships between the levels of gravimetric data. Observations of the activity of geophysical processes showed that the periods of variations in geophysical processes are scattered chaotically on the time axis. According to their schedule, it is impossible to definitely speak about the regularity in the duration of the periods of variations, and in the alternation of periods of seismic calm with a period of high seismic activity. The impetus for this study was the desire to analyze the structure of a number of formal methods to search for statistical patterns in the variations of geophysical parameters over time. Time series models were used to study the dynamics of geophysical events. Forecasting was carried out using the SPSS 20 package and EXCEL 2016. The accuracy of the forecast is indicated by the comparison of the forecast series with the actual data. The predicted values of the gravimetric data are within the confidence intervals. If you start forecasting too early, the forecast may differ from the forecast based on all statistical data. If the data shows seasonal trends, it is recommended to start forecasting from the date before the last point of the statistical data. Spatial and time series models can be used to study the dynamics of geophysical events. A spatial model describes a set of geophysical parameters at a given point in time. A time series is a series of regular observations of a certain parameter at successive points in time or at intervals of time. In this work, the time series model is used: to identify the statistical relationship between the frequency and depth of occurrence of earthquakes, as well as to identify the statistical dependence of these data on gravimetric variations; determination of patterns in the change in the levels of the series and the construction of its model in order to predict and study the relationships between geophysical phenomena.
20
Yang, Ling Xiao, Xiao Mei Zhao y Jian Feng Zheng. "Correlations among Various Parameters in Car-Following Models with NGSIM Trajectory Data". Applied Mechanics and Materials 66-68 (julio de 2011): 179–84. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.179.
Texto completoResumen
Based on NGSIM empirical trajectory data, we focus on verifying the correlations among various parameters in car-following models. The data is preprocessed primarily by symmetric exponential moving average filter. Then, based on SPSS, we explore the preprocessed NGSIM trajectory data by plotting scatter diagram and correlation analysis. The results show that the acceleration of the following vehicle is obviously proportional to the velocity difference and acceleration difference between the following and the preceding (next preceding) vehicle, as well as the product of such velocity difference and the following vehicle’s velocity. Furthermore, we analyze the delay time by using time series correlation formula and modified R/S and V/S statistics methods.
21
Dwi Ramadan, Andrian, Rahma Nurjanah y Erni Achmad. "Faktor - faktor yang yang mempengaruhi produksi kerajinan batik di Kota Jambi". e-Jurnal Perspektif Ekonomi dan Pembangunan Daerah 9, n.º 3 (1 de septiembre de 2020): 131–40. http://dx.doi.org/10.22437/pdpd.v9i3.12488.
Texto completoResumen
This study aims to determine the development of labor, investment and business units in the production of the batik industry in Jambi City. This research uses quantitative data collection methods. The data used in this study is secondary data, secondary data used is a combination of periodic series (time series). In this study, it is assumed that labor, investment, and business units have a positive and significant effect on Jambi batik production in Jambi City. The data used in this study are data on labor, investment, business units, and batik production in Jambi City from 2006-2017. The data is processed using SPSS with multiple linear regression analysis methods.
Keywords: Labor, Investment, Business units, Production.
22
AKM Bazlul Karim, Riad Habib, Abu Tahir Mohammad Sahidullah Monsur, Kawshik Ahmed, Mir Shamsad Hossain, Mithun Kumar Dey, Atique Bin Hussain et al. "Retrospective Review and Analysis on Outcome of Cranioplasty: A Series of 38 Cases". Bangladesh Journal of Neurosurgery 13, n.º 1 (8 de mayo de 2024): 20–23. http://dx.doi.org/10.3329/bjns.v13i1.72281.
Texto completoResumen
Background: Cranioplasty (CP) is a straightforward procedure, it may result in a significant number of complications. These include infections, seizures, intracranial hematomas, and others. Objective: This was a retrospective study on outcome of Cranioplasty. Materials and Methods: This retrospective study included patients who underwent decompressive craniectomy due to traumatic brain injury with raised ICP, acute subdural hematoma, compound comminuted skull fracture & ICH, between January January 2019 to December 2020 at Enam Medical College & Hospital, Savar, Dhaka. Data were collected in pre-designed data collection sheet and were analyzed using computerbased programme statistical package for social science (SPSS) windows version 25. Results: This study showed maximum patients (34.2%) were between 21-30 years age. Majority were male (89.5%) and only 5.9% were female. Overall rate of complications was 10.5%. Among them new onset seizure (n = 4), indrawing of skin through bone gap (n=4), hemorrhage (n=2), infection (n = 1), HCP (n = 1), and exposed implant (n=1). Conclusion: We have found the outcome of cranioplasty was better with titanium mesh plate and screw than conventional fixation of bone with polyglactin, polypropylene suture and titanium miniplate and screw. With polypropylene and polyglactin there is more chance of inward displacement of bone fragment and with miniplate and screw there is still chance of indrawing of bone fragment through the bone gap. Bang. J Neurosurgery 2023; 13(1): 20-23
23
Bahrudin, Muhammad Joko Umbaran Haris, R. Rizal Isnanto y Rahmat Gernowo. "Blockchain-Based Web Certification uses Descriptive Analytics to standardize Data". E3S Web of Conferences 448 (2023): 02001. http://dx.doi.org/10.1051/e3sconf/202344802001.
Texto completoResumen
Certification is an important component for a cryptocurrency project in terms of data security, networks and tokens or coins in the cryptocurrency network to attract investors to invest in a blockchain project. This is what encourages this research to conduct data analysis trials based on descriptive analysis for cryptocurrency project certification. In the data analysis used, the data analysis process includes using a pilot test to test the questionnaire so that the data obtained for testing the Abrar LMS system is maintained and its validity is continued. Pilot test is a test of the reliability and validity of research equipment. Before the survey was distributed to actual respondents, the survey was first tested on students and heads of university study programs. The validity of a test or a series of procedures indicates how well it measures what it is designed to measure. This interest can be proven by the results of respondents who have been analyzed using SPSS to conduct pilot tests, validity tests, and reliability tests. Testing the system on respondents using alpha to test the functionality of the system so that valid results are obtained from the combination of respondent data analysis.
24
Ali, Mahrus, Rahmat Gernowo y Budi Warsito. "Performance Analysis of Islamic Banks in Indonesia Using Machine Learning". E3S Web of Conferences 448 (2023): 02026. http://dx.doi.org/10.1051/e3sconf/202344802026.
Texto completoResumen
This study aims to examine several factors that influence the performance of Islamic banks in Indonesia by using the variables Return On Assets (ROA), Operating Expenses for Operating Income (BOPO), Capital Adequacy Ratio (CAR), Non Performing Financing (NPF), Financing to Deposit Ratio (FDR) and Potential Losses (PK). The data used in the study takes secondary data from the website of the Financial Services Authority (OJK) from the recapitulation of reports from Islamic banks throughout Indonesia, data taken from 2011 to 2020 which is a combination of Time series and cross section data. The analysis technique used is machine learning with multiple linear regression. The results of the study after being calculated using SPSS, the t table value is 2.776 and the F table value is 5.05. The final result is the hypothesis (H6) is accepted, which means that the variables X1, X2, X3, X4, X5 have a simultaneous effect on Y. Then the ROA value simultaneously influenced by the value of BOPO, CAR, NPF, FDR AND PK..
25
Rahmah, Devi Fadhilatur y Riyanto Wahyu Hidayat. "Analisis Faktor-Faktor Yang Mempengaruhi Tingkat Pengangguran Terbuka Di Provinsi Jawa Timur Pada Tahun 2000-2019". Jurnal Ilmu Ekonomi JIE 5, n.º 4 (29 de noviembre de 2021): 608–17. http://dx.doi.org/10.22219/jie.v5i04.18735.
Texto completoResumen
This study aims to determine the factors that influence the open unemployment rate in the province of East Java which is measured using multiple linear regression using the SPSS application. The type of data used in this study is secondary data, namely data in the form of time series data including open unemployment, inflation, provincial minimum wages and economic growth. The data in this study were obtained from the Central Statistics Agency for East Java and the Central Indonesian Statistics Agency. The analytical method used in this study uses multiple linear regression analysis with the help of SPSS software. The results of this study indicate that the inflation variable and the rate of economic growth have an effect on the open unemployment variable. Meanwhile, the Provincial Minimum Wage variable has no significant effect on the open unemployment variable.
26
Asri, Ariana y Haeril Haeril. "Persepsi Kinestetik Terhadap Rangkaian Gerak Pada Alat Simpai Atlet Senam Rhytmik PERSANI Sulawesi Selatan". Jendela Olahraga 7, n.º 2 (14 de julio de 2022): 37–46. http://dx.doi.org/10.26877/jo.v7i2.9560.
Texto completoResumen
This study aims to determine the contribution of kinesthetic perception to the rhythmic gymnastic movement structure of PERSANI's hoop in South Sulawesi. This research belongs to the type of descriptive research with quantitative methods. The population is PERSANI South Sulawesi rhythmic gymnast with a sample of 30 people. Data analysis techniques using descriptive analysis, normality test, linearity test, simple regression test using computer facilities through the SPSS program. Based on data analysis, the results obtained that there is a significant contribution of kinesthetic perception to the series of rhythmic gymnastics hoops with a coefficient of determination (R Square) of 0.630 (63%).
27
Grabusts, Pēteris. "THE POSSIBILITIES OF CLUSTERING LEARNING METHODS IN STUDENT EDUCATION". SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 5 (21 de mayo de 2019): 344. http://dx.doi.org/10.17770/sie2019vol5.3723.
Texto completoResumen
Many educational courses operate with models that were previously available only in mathematics or other learning disciplines. As a possible solution, there could be the use of package IBM SPSS Statistics and Modeler in realization of different algorithms for IT studies. Series of research were carried out in order to demonstrate the suitability of the IBM SPSS for the purpose of visualization of various simulation models of some data mining disciplines – particularly cluster analysis. Students are very interested in modern data mining methods, such as artificial neural networks, fuzzy logic and clustering. Clustering methods are often undeservedly forgotten, although the implementation of their algorithms is relatively simple and can be implemented even for students. In the research part of the study the modelling capabilities in data mining studies, clustering algorithms and real examples are demonstrated.
28
Melikhova, Tetiana y Olena Mikhailutsa. "The concept of assessing the City Council management control level for effective decision making". SHS Web of Conferences 107 (2021): 11001. http://dx.doi.org/10.1051/shsconf/202110711001.
Texto completoResumen
In present paper, time series models of revenues and expenses of general and special local budget fund in Zaporizhzhia City Council for 2017-2020 are built. The possibility of forecasting time series has been investigated on the example of local budget revenues and expenses. The concept of assessing the level of management control which consists of information-analytical circuit, analysis and modeling circuit, and decision-making circuit has been proposed. The best options for absolute and comparative economic efficiency of accounting and economic expenses of management control have been substantiated. The forecast for calculating the absolute and comparative economic efficiency of management control on the data of Zaporizhzhia City Council is shown and the annual economic effect from its implementation is calculated. The methodological approaches to the analysis of income and expenses of the general and special fund have been improved. They, unlike existing methods, include time series modeling and studies describing complex changes in parameters over time. This made it possible to carry out high-quality management control and increase the efficiency of activities. The SPSS Statistics data analysis package is used for data processing, test assumption and building the future strategy.
29
Pomarino, David, Juliana Ramírez Llamas y Andrea Pomarino. "Analysis of Physiological Gait Pattern in Children Without the Influence of Footwear". Foot & Ankle Specialist 9, n.º 6 (20 de septiembre de 2016): 506–12. http://dx.doi.org/10.1177/1938640016666914.
Texto completoResumen
In the literature, there have been several studies that have analyzed and explained the characteristics of physiological gait in association with pathologies; however, finding information about normal gait pattern while barefoot is difficult. This study focuses on the differences in the barefoot gait between children and adolescents. A total of 320 healthy children and adolescent were recruited and divided into groups according to age: G1 (1-6 years), G2 (7-10 years), G3 (>11 years). Data were collected using a dynamometric platform and analyzed using SPSS software. This study’s findings indicate that there are differences in the swing, stance, load, and single support phases of gait. To our knowledge, this is the first study to present the values of standardized data on barefoot gait pattern in children aged from 2 to 10 years. Levels of Evidence: Diagnostic, Level IV: Case series
30
Chen, Caixia, Chun Shi y Jue Chen. "Research on Tourism Network Index Model Based on Baidu Index --- A Case Study of Sanya". MATEC Web of Conferences 228 (2018): 05017. http://dx.doi.org/10.1051/matecconf/201822805017.
Texto completoResumen
Tourism index is a "barometer" to reflect the overall development level of tourism. The tourism index compiled by historical data can not reflect the real situation accurately with the increasing influence of network events on tourism In the Internet era. This study collects time series data of tourism network search by Baidu index tool and uses data mining method and principal component analysis method to detect and standardize the stability of the data. The spss system and the weighted analysis method are used to construct the tourism network index model. Finally, the model detection is carried out by comparing the actual tourism data in Sanya. This study is an important supplement to the existing tourism index.
31
Marsellos, Α. Ε., D. A. Foster, K. Min, W. S. F. Kidd, J. Garver y K. Kyriakopoulos. "An application of GIS analysis on structural data from metamorphic rocks in Santorini Island." Bulletin of the Geological Society of Greece 47, n.º 3 (21 de diciembre de 2016): 1479. http://dx.doi.org/10.12681/bgsg.10986.
Texto completoResumen
The Santorini volcanic island is located in the northern Cretan Sea and is part of the ecent subduction-related volcanic arc. The opening of Cretan Sea is the result of extension associated with a series of ductile and brittle detachment faults developed since the Middle Miocene. A detachment between two exhumed metamorphic units is exposed at Athinios, on Santorini Island. Two exhumed metamorphic units are identified that show evidence of similar brittle deformation, but distinctive ductile and ductile-brittle structures. Different thermal histories indicate that a Miocene metamorphic unit is juxtaposed structurally below an Eocene metamorphic unit. In this paper, a prediction map of structural observations in Athinios is generated with statistical and GIS software, and shows a spatial distribution consistent with the exposure of two metamorphic units. K-Mean Cluster analysis using SPSS software on lineation azimuths of the metamorphic rock units shows two populations with center values of 347.2o ± 0.73o degrees (NNW to N) and 003.4o ± 0.83o degrees (N to NNE). NNW-lineation (arc-parallel extension) population belongs to the lower Miocene metamorphic unit and the NNE-lineation represents the Eocene metamorphic unit that was affected by arc-normal extension. A geostatistical map of ordinary Kriging type displays the possible exposed tectonic contacts. This methodology provides a structural prediction map that after field verification facilitates efficient structural and thermochronological sampling.
32
Kishanrao, Domple Vijay y Satish Kishanrao Wadde. "Trends of admission and deaths of burn patients (2000 to 2016) in a tertiary care hospital of Maharashtra: a time series analysis". International Journal Of Community Medicine And Public Health 6, n.º 11 (24 de octubre de 2019): 4972. http://dx.doi.org/10.18203/2394-6040.ijcmph20195090.
Texto completoResumen
Background: The World Health Organization projects that by 2020, injuries will surpass infectious diseases as the leading cause of death worldwide. Therefore we conducted the present study with objective to identify trends of admissions and deaths of burn patients and to forecast the number of cases of admission and deaths in a tertiary care hospital, Maharashtra by using time series analysis.Methods: The present retrospective study was conducted at a tertiary care hospital of Maharashtra in the month of September 2017. Month wise admissions (7674 patients) and deaths (2865) of burn patients in last seventeen years (2000 to 2016) were used for this purpose. Data was analyzed by using SPSS version 16.Results: There was increasing trend of admissions of burn patients in December to January. Increase in the deaths was also observed in the months of February and March by simple seasonal model of Expert Modeler in SPPS. This predicted 30-44 admissions and 9-13 deaths of burn patients in the year of 2019.Conclusions: The trends and forecasting of admissions and deaths of burn patients will be useful for hospital administrators for management of cases.
33
Zahro', Harisatuz, Mas’udah Mas’udah, Muhammad Reza y Nurul Khotimah. "Kemampuan Memahami Rukun Islam Anak : Pengaruh Video Kompilasi “Diva Series”". Journal of Early Childhood and Character Education 3, n.º 2 (27 de octubre de 2023): 111–32. http://dx.doi.org/10.21580/joecce.v3i2.17768.
Texto completoResumen
This study aims to determine the effect of video in increasing the ability to understand the Pillars of Islam in children. The subjects in this study totaled 22 children consisting of 11 children in the experimental group and 11 children in the control group. This study used a quantitative research approach with a quasi-experimental research design and a non-equivalent control group design using two groups, namely the experimental group and the control group. The data collection technique uses observation and documentation using the data analysis technique Mann-Whitney U test. The results of data analysis obtained from the calculation of the Mann-Whitney U-Test using IBM SPSS Statistics 26 get the Asymp.Sig value. (2 tailed) which is equal to .000. On the basis of decision making when Asymp.Sig. 0.05, there is a significant difference between the experimental group and the control group, in which the value of the experimental group is higher than the value of the control group, so that Ha is accepted and Ho is rejected. The results of the study can be concluded that the Diva series compilation video has a significant influence on the ability to understand the Pillars of Islam in children. This was reinforced by the results of descriptive statistics in the experimental group which showed an increase in the ability to understand the pillars of Islam by 62, these results differed greatly from the control group, which was 22.
34
Shola Francis Bakare, Zainab Toyin Jagun, Samson Abayomi Ojo, Rotimi Williams Ojulokunrin, Opeyemi Akinfisoye y Olowoleru Olaitan Adedeji. "A measure of graduates’ basics components of entrepreneurial skills using confirmatory factor analysis". Open Journal of Science and Technology 4, n.º 2 (6 de septiembre de 2021): 85–93. http://dx.doi.org/10.31580/ojst.v4i2.1960.
Texto completoResumen
One of the fundamental roles of Technical and Vocational Education (TVE) is to produce human capital with sound technical knowledge and skills that involve series of entrepreneurial activities. However, there has been out-cry of youths involving in all manner of criminality as a result of unemployment in many developing nations. The unemployment situation in developing nations has become household problem begging for an immediate solution. Every individual has shared in this ugly trend no matter the status or position one may be occupying as long as this remains unresolved. It is on this note, this study considered the entrepreneurial skills that promote job creation and employability for the graduates of Technical and Vocational Education (TVE). The design of the study was quantitative research which made use of questionnaire for data collection. The sample of the study consisted of randomly selected 209 respondents comprising of 13 lecturers and 196company employees. A research question was raised and Statistical Package for Social Science (SPSS)software and Structural Equation Modelling (SEM) through Analysis of Moment Structures (AMOS) were used to analyse the quantitative data. The Confirmatory factor Analysis (CFA) was carried out through SPSS version22 and AMOS 22. Descriptive data was analysed to get the mean and Standard deviation. The results of the study indicated that the basics components of entrepreneurial skills (BCES) that promote job creation and employability for the graduates of TVE met the modification indices criteria.
35
S.B., Sharafa, Aliyu R., Ibrahim B.B., Akpootu D.O., Tijjani B.I., Darma T.H., Ayedun F. y Sulu H.T. "ANALYSIS OF AEROSOLS IN WEST AFRICA: MODELLING AND RADIATIVE FORCING". Environmental Contaminants Reviews 6, n.º 2 (24 de agosto de 2023): 105–15. http://dx.doi.org/10.26480/ecr.02.2023.105.115.
Texto completoResumen
We studied the aerosol properties in Cinzana and Ilorin in West Africa using data of aerosols’ properties over the period 2000–2015 from MODIS (Moderate resolution Imaging Spectroradiometer). There has been limited report on the comparison between this two West African Stations. The time series modelling, prediction of aerosol parameters and the estimation of aerosol radiative forcing (ARF) were focused on. Statistical Package for the Social Sciences (SPSS) software was used for the modelling the monthly averaged measurements of aerosol optical depth at 550 nm (τ550), Angstrom exponent at 470 – 660 nm (α470-660), cloud fraction (Ncloud), fine mode fraction (FMF) and single scattering albedo at 470 nm (ωo) data over the two stations while the ARF values were calculated. The generated time series models are all good fit and the values are biased, both negatively and positively. The ARF of the two stations’ aerosol data shows value between 0.0 and -750.0 W/m2 for Ilorin and -10.0 to -200. 0 W/m2, which results mainly in cooling. Although there is a difference between ARF values in the two stations, both stations demonstrated clear seasonal variation with the rainy season having the least negative aerosol forcing. The results suggest that the aerosols are predominantly mineral dust, but those in Cinzana have more absorbing properties than those in Ilorin. Overall, the research shows that the modelled parameters can be utilized in lieu of the measured data and that the solar radiation received in this region has been attenuated at various degrees
36
Alferdio Haidarputra, Indra Pahala y Indah Muliasari. "The Effect of The Number of Taxable Enterprise, Tax Audit, Tax Collection On Value Added Tax Receiving". Jurnal Akuntansi, Perpajakan dan Auditing 3, n.º 1 (30 de abril de 2022): 63–77. http://dx.doi.org/10.21009/japa.0301.05.
Texto completoResumen
This study aims to provide empirical evidence about the effect of taxable enterprise, tax audits, tax collection on value added tax revenues.This research uses sampling method with saturated sampling technique. The population in this study used all taxable enterprise registered at KPP Pratama Jakarta Setiabudi Empat. The sample used in this study was 36 data using the Time series data type. The statistical method used is multiple linear regression analysis with SPSS calculator. The results of this study indicate that taxable enterprise, tax audits, and tax collection have an effect on value added tax revenues.
37
Ahmadsyah, Israk, Rahmati Rahmati y Safarul Aufa. "ANALISIS PENGARUH PEMBIAYAAN MODAL KERJA, PEMBIAYAAN INVESTASI, DAN PEMBIAYAAN KONSUMTIF TERHADAP TOTAL ASET BANK ACEH PERIODE 2016-2019". Jurnal Ekonomi Regional Unimal 2, n.º 3 (7 de diciembre de 2019): 152. http://dx.doi.org/10.29103/jeru.v2i3.2095.
Texto completoResumen
The study aims to analyze the influence of working capital financing, investment financing, and consumer financing, against the total asset of PT Bank Aceh Syariah. The study uses a quantitative research method, and as a secondary data, utilizes the time-series data. The data collection occurred from September 2016 to March 2019. The hypothesis testing uses multiple linear regression analysis method with the assistance of Statistical Package for The Social Science (SPSS) 22. The partial analysis results (t-test) suggests that the working capital and investment financing did not affect Bank Aceh’s total asset. The simultaneous result analysis (F-test) shows that every independent variable collectively gives impact on the Bank Aceh Syariah’s total asset during September 2016 to March 2019 period.
38
Rahmawati, Umi Fadillah, Elwisam Elwisam y Kumba Digdowiseiso. "The Influence of Brand Trust, Brand Image and Lifestyle on Buying Interest in Samsung Galaxy A Series Smartphones in National University Students". Jurnal Syntax Admiration 4, n.º 4 (15 de abril de 2023): 597–612. http://dx.doi.org/10.46799/jsa.v4i4.854.
Texto completoResumen
This study aims to analyze how much influence brand trust, brand image, and lifestyle have on purchase intention. This type of research uses descriptive quantitative methods and data analysis techniques using inferential analysis data and using primary data formed closed questionnaires to 100 respondents and assisted by using the SPSS version 23 program. To obtain results from consumer buying interest in the Samsung Galaxy A smartphone Series. The results of this study reveal that brand trust, brand image, and lifestyle variables have a positive and significant effect on purchase intention. This can be seen in the coefficient table in the regression equation Y = 0.308 X1 + 0.324 X2 + 0.280 X3. The conclusion is that the independent variable has a positive and significant influence on purchase intention.
39
Riski, Oki Sania, Rika Lidyah y Titin Hartini. "EFFECT OF STOCK OWNERSHIP AND DIVIDEND POLICY ON EARNINGS QUALITY IN COMPANIES LISTED ON THE JAKARTA ISLAMIC INDEX". Journal of Business Studies and Mangement Review 4, n.º 2 (30 de junio de 2021): 87–91. http://dx.doi.org/10.22437/jbsmr.v4i2.14184.
Texto completoResumen
This study aims to determine the effect of stock ownership and dividend policy on earnings quality in companies listed on the Jakarta Islamic Index. This study uses a quantitative research method and uses panel data, combining time-series and cross-sectional data. The samples used in this study were eight companies registered in the Jakarta Islamic Index from 2015 to 2019. The data analysis technique in this study is multiple regression analysis using the SPSS 22 application. The results in this study indicate that partially institutional ownership has a significant effect on earnings quality, managerial ownership has a significant effect on the quality, and dividend policy has no effect on earnings quality.
40
Sari, Novita y Arna Asna Annisa, MSI. "INFLUENCE INCOME DIVERSIFICATION, BANK LIQUIDITY, AND FINANCIAL LAVERAGE ON PROFITABILITY WITH BANK EFFICIENCY, AS INTERVENING VARIABLES IN SHARIA COMMERCIAL BANKS 2015-2019". jmm17 8, n.º 02 (19 de octubre de 2021): 110–24. http://dx.doi.org/10.30996/jmm17.v8i02.5475.
Texto completoResumen
Abstract The purpose of this study was to determine the effect of Income Deverfication, Bank Liquidity, and Financial Laverage on Profitability with Bank Efficiency, as an Intervening variable in Islamic Commercial Banks in 2015-2019. This research uses quantitative research by using regression analysis as data analysis. This study uses secondary data in the form of time series annual data of Islamic commercial banks for the period 2015 to 2019. The required data is then analyzed using the SPSS 22 application tool. The results show that FBI, FDR have a positive and non-significant effect on ROA, DER has a negative and no effect. significant effect on ROA, FBI, FDR positive and not significant effect on ROA, DER negatively and not significant on ROA, BOPO positive and significant effect on ROA.Keywords: Income Deverfication, Bank Liquidity, and Financial Laverage on Profitability with Bank EfficiencyAbstrak Tujuan penelitian ini dilakukan adalah untuk mengetahui pengaruh Pengaruh Income Deverfication, Bank Liquidity, dan Financial Laverage terhadap Profitability dengan Bank Effeciency, sebagai variabel Intervening pada Bank Umum Syariah Tahun 2015-2019. Penelitian ini menggunakan jenis penelitian kuantitatif dengan menggunakan analisis regresi sebagai analisi data. Penelitian ini menggunakan data sekunder berbentuk time series data tahunan bank umum syariah periode 2015 sampai 2019. Data yang diperlukan kemudian dianalisis menggunakan alat bantu aplikasi SPSS 22. Hasil penelitian menunjukan bahwa FBI, FDR berpengaruh positif dan tidak singnifikan terhadap ROA, DER berpengaruh negatif dan tidak singnifikan terhadap ROA, FBI, FDR berpengaruh positif dan tidak singnifikan terhadap BOPO, DER berpengaruh negatif dan tidak singnifikan terhadap BOPO, BOPO berpengaruh positif dan singnifikan terhadap ROA.Kata Kunci: Income Deverfication, Bank Liquidity, dan Financial Laverage terhadap Profitability dengan Bank Effeciency.
41
Fu, Dan, Leqiu Chen y Zhou Cheng. "Integration of Wearable Smart Devices and Internet of Things Technology into Public Physical Education". Mobile Information Systems 2021 (18 de agosto de 2021): 1–10. http://dx.doi.org/10.1155/2021/6740987.
Texto completoResumen
With the development of the Internet, virtual reality technology is manifested in various products through a more intuitive visual experience. As the carrier of virtual reality technology, according to many predictions, smart wearable devices will be the main development direction in the next few years; the era of intelligence also provides new requirements and new challenges for the education and teaching mode of ordinary colleges and universities. This paper aims to integrate wearable smart devices into public physical education, adopt comparative experiment method and data statistics method, and design and conduct teaching experiments with wearable smart devices based on the Internet of Things technology. The experimental class students’ shooting percentage score increased from 12.80 points to 21.43 points, calculated by SPSS. SPSS is “Statistical Products and Service Solutions” software. Initially, the full name of the software was “Statistical Software Package for Social Sciences.” However, with the expansion of the SPSS product service field and the increase of service depth, SPSS officially changed the English full name to “Statistical Products and Service Solutions” in 2000, which marked the strategic direction of SPSS which is making major adjustments. SPSS is the general term for a series of software products and related services for statistical analysis operations, data mining, predictive analysis, and decision support tasks launched by IBM. There are Windows and Mac OS X versions. P = 0.003 < 0.01 , which showed very obvious difference. At the same time, after the experiment, the comparison of the two groups of students’ skill scores showed that there is also a significant difference ( P = 0.003 < 0.05 ). A modern leap-forward teaching model that organically integrates wearable smart devices and public physical education is realized.
42
Reza, Faisal. "Pengaruh Menonton Iklan Web Series Versi "Jejak Rasa" Di Youtube Terhadap Minat Beli Produk Eiger". ArtComm : Jurnal Komunikasi dan Desain 2, n.º 02 (5 de noviembre de 2019): 16–24. http://dx.doi.org/10.37278/artcomm.v2i02.195.
Texto completoResumen
The Series' trail is a series of web series advertisements created by outdoor equipment products uploaded by Eiger Adventure Indonesia's official Youtube account. Youtube is one of the most common social media platforms accessed by the people of Indonesia. This research is a quantitative study using a survey method with data analysis techniques calculated using SPSS 25 software with skewnes and kurtosis techniques, Pearson correlation coefficient and simple linear regression. Based on the results of the study, the value of the relationship between variables is (0.575) and the value (R) or correlation is (0.591). Through this value it is also known that the value of (R Square) or the coefficient of determination is (0.349) which means there is an influence from watching the web series advertisement version of "Imprint" on Youtube to the buying interest of Eiger products by 34.9% or included in the relationship category " Medium ".
43
M.A., Skandaji, Ibenchekroun M. y Fellat N. "ISCHEMIC HEART DISEASE AND DIAGNOSTIC CORONARY ANGIOGRAPHYEPIDEMIOLOGICAL DATA AND FEMORAL VS. RADIAL APPROACH : A SERIES OF 100 CASES". International Journal of Advanced Research 11, n.º 10 (31 de octubre de 2023): 746–51. http://dx.doi.org/10.21474/ijar01/17763.
Texto completoResumen
Introduction: The use of radial access for coronary interventions offers advantages such as reduced access-site bleeding and improved patient comfort. However, the learning curve for radial access and conflicting findings regarding outcomes in previous studies have influenced its widespread adoption. This study aimed to comprehensively assess the effects of radial access compared to femoral access in patients with ischemic heart disease. Materials and Methods: A retrospective analysis was conducted on 100 patients who underwent diagnostic coronary angiography at Ibn Sina University Hospital. Patient demographics, clinical indications, angiographic data, and complications were compared between the radial and femoral access groups. Statistical analysis was performed using SPSS software. Results: The study included 45 patients in each group, with an average age of 63 years. Male patients accounted for 67% of the study population. The most common indications for coronary angiography were acute coronary syndrome (41%), heart failure (28%), stable angina (17%), and unstable angina (10%). The angiographic findings revealed that 79% of patients had pathological coronary angiograms, with bi-troncular involvement being the most prevalent (40.5%). Vascular complications occurred in 4% of cases, including a femoral fistula requiring vascular surgery. Conclusion: The study findings aligned with previous research, demonstrating that radial access resulted in fewer vascular and hemorrhagic complications compared to the femoral approach. However, the radial route presented challenges such as a longer procedural duration and increased radiation exposure. The decision between radial and femoral access should consider the operators experience, patient preference, and clinical factors.
44
Prasetyorini, Anif, Thinni Nurul Rochmah, Fendy Suhariadi, Achmad Djunawan y Serlly Drastyana. "Factor Analysis of Interteam Collaboration Process for Family Planning Program (Longitudinal Prospective Time Series Design)". Open Access Macedonian Journal of Medical Sciences 10, E (25 de junio de 2022): 1535–41. http://dx.doi.org/10.3889/oamjms.2022.9929.
Texto completoResumen
Background. The success of Family Planning (FP) program is strongly determined by a collaboration process of two organizations responsible in managing the program. There has not any collaboration concept discussing the program within team level but belonging to different organizations.
Objective. To conduct factor analysis of interteam collaboration process in cross-organization for family planning.
Methods. This was a quantitative study with a longitudinal prospective time series design conducted at the public health center and the family planning extension worker team in Lamongan. Interteam collaboration data were obtained by questionnaires for three months and analyzed by factor analysis utilizing SPSS program.
Results. Factor analysis in interteam collaboration resulted in KMO value and Bartlett’s test > 0.5 with 0.000 significance and MSA value in Anti Image Metrics > 0.5. The result of variable extraction process and factor rotation, with eigen value was 1.661. The cumulative total variety value was 83.057%. Shared value (shared structural dimensions and shared team autonomy) and mutual benefit indicators could explain interteam collaboration variables.
Conclusion. This study demonstrated that interteam collaboration process was an three factor, effort for shared structural dimensions and shared team autonomy process by considering mutual benefit of interteam belonging to different organizations.
Keyword: interteam, collaboration, time series, program
45
Song, Xiaojing. "DISCUSSION CONCERNING THE APPLICATION OF DATA MINING TECHNOLOGY IN SPORTS PERFORMANCE MANAGEMENT". Revista Brasileira de Medicina do Esporte 28, n.º 5 (octubre de 2022): 460–64. http://dx.doi.org/10.1590/1517-8692202228052021_0519.
Texto completoResumen
ABSTRACT Introduction: Finding the factors that contribute to success in student performance or failure is necessary for every teacher. Data mining, which is already used in companies for management processes, can be essential in this research. Objective: Discuss the data mining algorithms application in sports performance management. Method: A database was developed considering seasonal factors, health benefit index, and sports behavior characteristics. The data were entered under fuzzy logic, processed, and analyzed in IBM SPSS Modeler Software. Decision-making efficiency was improved with the target base interpolation analysis and the C spatial noise reduction methods. The fidelity of sports behavior was consolidated under Gauss time series analysis. Results: The relationship between the mining algorithm to find the existing problems and the association results in the mining rules provided valuable information for improving health guidelines to the physical activity students. Conclusion: The original data from the educational system can be transformed into useful information through the association rules algorithm, and the relationship between the performance can be obtained, providing the improvement in the decision making for the benefit of the physical level of the students. Evidence Level II; Therapeutic Studies – Investigating the results.
46
Tamberan, Yuan Williamson y Romualdus Turu Putra Maro Djanggo. "IMPLIKASI TRANSFER FISKAL TERHADAP DISPARITAS INCOME". Musamus Journal of Economics Development 2, n.º 1 (25 de julio de 2019): 24–28. http://dx.doi.org/10.35724/feb.v2i1.2478.
Texto completoResumen
This study aims to determine the implications of fiscal transfer to income disparity in Merauke Regency. The type of data used is time series data which began in 2010-2018 and the data collection was carried out using the documentation method sourced from the Central Statistics Agency of Merauke Regency and the Internet. Data were analyzed using regression analysis models with the help of SPSS 21 software. The results showed that partially or simultaneously fiscal transfers in the form of general allocation fund variables and special autonomy fund variables had a significant positive effect on income disparity variables in Merauke Regency.
Keywords: fiscal transfer, income disparity, regional autonomy
47
Desintha Cahyani, Sri Lestari Hendrayati y Leliana Maria Angela. "Peran Komite Audit yang Berlatar Belakang Akuntansi dalam Memoderasi Hubungan Kepemilikan Institusional Terhadap Pengungkapan Modal Intelektual". Balance: Media Informasi Akuntansi dan Keuangan 15, n.º 2 (31 de julio de 2023): 110–20. http://dx.doi.org/10.52300/blnc.v15i2.10750.
Texto completoResumen
This study uses secondary data in the form of time series, namely company annual report data on the IDX and disclosure of company intellectual capital on the company's website for the period 2018-2021. The sampling technique was carried out by purposive sampling method and obtained 143 companies. The sample used is a manufacturing company listed on the Indonesia Stock Exchange in 2018-2021. The data that has been obtained is then analyzed using the SPSS application tool version 25, with data analysis techniques used including descriptive statistics, classic assumption test, simple linear regression test, moderation regression test, hypothesis testing, and coefficient of determination test (adjusted R²).
48
Saha, Madhusudan, Sadhu Uttam Kumar, Sheikh Abul Hasnat Mohammad Mesbahul Islam y Bimal Chandra Shil. "Painful Rib Syndrome a Series of 89 Cases". Bangabandhu Sheikh Mujib Medical College Journal 2, n.º 1 (12 de noviembre de 2023): 29–32. http://dx.doi.org/10.3329/bsmmcj.v2i1.69593.
Texto completoResumen
Painful rib syndrome is an under diagnosed or neglected clinical entity presented with pain in the lower chest and upper abdomen with a tender spot (or spots) at the lower costal margin. This study was designed to see the presentation of a relatively less recognized clinical condition painful rib syndrome. Consecutive patients presenting with pain in the lower chest or upper abdomen at one or both sides with reproducible tender points or points on the costal margin and positive hooking sign were included. Patients’ epidemiological and clinical data were recorded. A routine x-ray chest of PA view and ultrasonogram of the abdomen were done in all. Data analysis was done using SPSS (Statistical Package for Social Science) version 20. Total 89 patients, male 31(34.8%) and female 58(65.2%) with age ranging from 10 to 70 years (mean 35.34) were included. Of them, 48(53.9%) were within 26 to 45 years group, 43(48.3%) were housewives and 47 (52.8%) were from middle-class economic group. Among them, 16 (18%), 16 (18%), 12 (13.48%), and 30 (33.71%) patients presented with pain in the right lower chest, left lower chest, both sides of chest and right upper abdomen respectively and were managed conservatively with complete or acceptable improvement in 78(87.64%) patients. Painful rib syndrome can be diagnosed easily by history, clinical examination, and minimum investigations which may save patients from anxiety and economic loss. Bangabandhu Sheikh Mujib Med. Coll. J. 2023;2(1): 29-32
49
Zein Hudha Firmansyah y Sishadiyati. "Pengaruh Inflasi, Kurs (dollar/rupiah), Suku bunga SBI terhadap Indeks Harga Saham Gabungan di Bursa Efek Indonesia". Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah 6, n.º 5 (1 de abril de 2024): 4171–78. http://dx.doi.org/10.47467/alkharaj.v6i5.1608.
Texto completoResumen
The purpose of this research is to inform about the influence of inflation, exchange rate (dollar/rupiah), bi interest rates on the composite stock price index. The data sample taken in this research is a type of secondary time series data with a time range from 2007-2022 sourced from BPS, Yahoo Finance, BI, BEI. The data analysis used used multiple linear regression analysis with the Ordinary Least Square (OLS) model via SPSS 25. The results of the study concluded that the inflation variable had no significant and positive effect on the IHSG, the exchange rate variable (dollar/rupiah) had a significant and positive effect on the IHSG, The BI interest rate variable has a significant negative influence on the IHSG.
50
Dailidėnas, Šarūnas, Dainius Šimčikas, Agnė Čižauskaitė y Paulius Žeromskas. "RADIATION PROCTITIS: CASE SERIES OF TREATMENT WITH ARGON PLASMA COAGULATION IN KLAIPEDA UNIVERSITY HOSPITAL". Visuomenės sveikata 27, n.º 5 (20 de diciembre de 2017): 68–70. http://dx.doi.org/10.5200/sm-hs.2017.080.
Texto completoResumen
Radiation proctopathy is defined as rectal damage due to radiation with or without inflammation. Objectives and methods. The aim of this study was to present our clinical experience, regarding the argon plasma coagulation, in a small series of patients with radiation proctitis. Retrospective data analysis of patients treated for radiation proctitis in a single hospital setting from year 2014 to 2017 was performed. Statistical data analysis was carried out using the SPSS 20.0 software. Results. 13 patients underwent argon plasma coagulation. The female and male ratio was 1:2,25. The mean age of the patients was 70,69±13,51 years. All men (n=9) had radiotherapy due to prostate cancer and cervical cancer was the main cause in women group (n=4). Six patients (46%) had second plasma coagulation done. Three patients (23%) had endoscopic argon plasma coagulation. Mean hospital stay was 4,47±8,83 days. Necrosis of mucous membrane was observed in one patient (7,69%). Conclusion. There is no evidence-based consensus regarding treatment of radiation proctitis. Argon plasma coagulation seems to be safe and effective choice of treatment, but further studies are required to determine which methods should be considered as the ,,gold standard” choice.