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Yusuf, Mohammad Irsyad, Fadillah Putra et Luchman Hakim. « Development of Kapiten Coffe as a Media to Branding an Agropolitan City : Case Study in Pasuruan, Indonesia ». International Journal of Sustainable Development and Planning 17, no 5 (31 août 2022) : 1615–20. http://dx.doi.org/10.18280/ijsdp.170526.
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The concept of commercialization is a strategic step in introducing Kapiten coffee products to be the flagship of Pasuruan Regency and brands with measurable coffee quality. This commercialization involves three important actors; government, academics and entrepreneurs (triple helix) so that the captain's coffee succeeded in bringing Pasuruan Regency. This study uses a non-metric Multidimensional Scaling method with ranking data processing. The method used is that data is obtained through preference ranking, where the steps are as follows: making a questionnaire, ranking various brands based on existing attributes, then mapping the attributes. Data on this research take from some of coffe brand in East Java Province using case study. In addition, this study also uses the Critical Path Method which is used to measure the duration of the work. This method will greatly help project managers in analyzing, planning and scheduling projects more efficiently. The results of this study indicate that Kapiten coffee is superior in terms of taste, soft texture to attractive packaging, which is an important strategy to introduce Kapiten coffee products into the free market; both domestically and internationally. As for the captain's coffee, it takes 51 days to be widely marketed. Kapiten coffee has advantages and tastes, textures and packaging that are distinctive from other coffees. So this is a special attraction for consumers.
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Pratama, I. Putu Agi, Ratna Komala Dewi et Ni Putu Artini. « MAPPING THE CONSUMERS COFFEE POWDER MANGSI COFFEE BASED ON SEGMENTING, TARGETING, AND POSITIONING IN DENPASAR CITY ». Agrisocionomics : Jurnal Sosial Ekonomi Pertanian 5, no 1 (17 juin 2021) : 102–9. http://dx.doi.org/10.14710/agrisocionomics.v5i1.8378.
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Not all customers can be served by the company. Each company needs to identify marketsegments that can be served effectively by differentiating the main market segments, aiming at one ortwo segments and developing products so that there are always new breakthroughs. A company in orderto excel in competition must be able to recognize its market segment, target and product position againstits competitors. This research aims to determine the segmenting, targeting, and positioning of MangsiCoffee powder. The sampling technique used is the nonprobability sampling method that is accidentialsampling. Segmenting and targeting is done by using crosstab analysis, while positioning uses multidimensional scaling analysis and correspondence analysis. Mangsi Coffee powder market segmentationbased on the characteristics of consumers are men who are adults, graduated from tertiary education (last education), work as employees with monthly expenditure above the Denpasar City UMK in 2019(Rp. 2,553,000.00). Mangsi Coffee consumers based on psychographic segmentation tend to choosequality products and make coffee consumption habits a trend and lifestyle while Mangsi Coffeeconsumers based on segmentation of consumer behavior tend to choose products according to theirbenefits. Positioning using multi-dimensional scaling analysis (MDS) shows that, Mangsi Coffeepowder is not in one quadrant with all three competing products. The map shows that all four productsare in different quadrants. CA analysis (correspondence analysis), shows the superiority of MangsiCoffee powder products when compared with competitors' products is an attribute in terms ofpackaging. The importance of companies to pay attention to segmenting, targeting, and positioning tobe able to focus on achieving company goals and survive in fierce market competition. The strategy toincrease sales is carried out by adjusting the results of studies in research and the conditions of theMangsi Coffee company so that it can take policies that are in accordance with company goals.
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Eponon, Eboa Christophe Ghislain, Konan Didier Kouamé, Didier Snoeck, Zoumana Konaté, Maméri Camara, Mamadou Cherif et Daouda Kone. « Mapping Coffee Tree Fertilizer Requirements in Côte d’Ivoire ». Asian Journal of Soil Science and Plant Nutrition 9, no 1 (1 mars 2023) : 34–44. http://dx.doi.org/10.9734/ajsspn/2023/v9i1170.
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Coffee production in Côte d'Ivoire has been declining sharply for more than twenty years due to degradation in soil fertility status. The objective of this study was to map the mineral requirements of coffee trees in different production regions and to recommend immediate and long-term intervention strategies for soil management. In this study, the diagnosis of the chemical needs of 156 soil samples from major coffee production areas was used. We used a soil diagnostic model specific to coffee fertilization combined with geographic information systems (GIS). The combination of fertilizer formulas from the coffee soil diagnostic model, recent climatic data and soil units of the coffee growing areas allowed the elaboration of a thematic map showing a total of five basic formulas (N-P2O5-K2O-CaO-MgO) adapted to the real nutritional needs of coffee trees according to their agropedoclimatic environments. Two of these formulas cover 90% of the area studied. This study will enable appropriate soil management for the sustainable productivity of coffee trees in Côte d'Ivoire.
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Fadli, Fadli, Emmia Tambarta Kembaren et Irada Sinta. « MAPPING VALUE ADDED ARABICA COFFEE PROCESSED PRODUCTS IN ACEH TENGAH ». International Journal of Economic, Business, Accounting, Agriculture Management and Sharia Administration (IJEBAS) 1, no 2 (5 novembre 2021) : 105–11. http://dx.doi.org/10.54443/ijebas.v1i1.28.
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Coffee is one of the plantation commodities that has an important role in foreign trade. In 1712, Indonesian coffee plantations were traded for the first time to the Netherlands (KP Gayo, 2016). Aceh coffee, which is better known internationally is the type of Gayo Arabica coffee because it has a distinctive aroma and taste. This research uses descriptive quantitative research methods. This research was conducted in Aceh Tengah. This is because Aceh Tengah is one of the main production Aceh Tengah. The objects of this research are the trade office, the agriculture office, coffee expert staff, Gayo arabica coffee farmers and the four green been coffee agroindustry and coffee grounds which have the largest export quotas in Bener Meriah Regency, namely KBQ Baburrayyan, Oro Coffee Cooperative, and PT Olam Coffee. The data collection method used is in-depth interviews with several key persons belonging to the research object. The results showed that the output value obtained from pumpkin coffee products was Rp. 27,176 per Kg with an added value of Rp. 22,176 per Kg. The output value obtained from green bean products is Rp. 56,950/Kg with an added value of Rp. 13,050/Kg. The output value obtained from the Gayo Arabica coffee powder product is Rp. 123.500/Kg with an added value of Rp. 36.500/Kg. 176 per Kg with an added value of Rp. 22,176 per Kg. The output value obtained from green bean products is Rp. 56,950/Kg with an added value of Rp. 13,050/Kg. The output value obtained from the Gayo Arabica coffee powder product is Rp. 123.500/Kg with an added value of Rp. 36.500/Kg. 176 per Kg with an added value of Rp. 22,176 per Kg. The output value obtained from green bean products is Rp. 56,950/Kg with an added value of Rp. 13,050/Kg. The output value obtained from the Gayo Arabica coffee powder product is Rp. 123.500/Kg with an added value of Rp. 36.500/Kg.
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Hunaefi, Dase, et Wicensky Marusiva. « SENSORY PROFILE OF 3 IN 1 INSTANT COFFEE USING EMOTIONAL-SENSORY MAPPING, FLASH PROFILE, AND CATA (CHECK-ALL-THAT-APPLY) METHODS ». Jurnal Teknologi dan Industri Pangan 32, no 1 (décembre 2021) : 169–80. http://dx.doi.org/10.6066/jtip.2021.32.2.169.
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Three in one instant coffee is popular among university students. A variety brands of such instant coffee are available on the market. However, the literature on the sensory aspects of the instant coffee is rather limited slim. The project aimed to test three-in-one instant coffee sachets for their sensory characteristics. Two methods, CATA (Attributes and Emotional Mapping) and Flash Profile (extension of Free Choice Profiling) were employed to generate the attribute profiles and emotional dashboard. Sixty IPB University students were selected as panelists. Sensory attributes terminologies and their relation to emotion were generated using Focus Group Discussion among instant coffee heavy drinker. Profile of coffee D showed a creamy texture, while sweetness and milky was dominant when it came to coffee B and coffee C. The creaminess in coffee G was strongly related to feelings of happiness in a consumer. In addition, the sweet and milky taste and flavor in coffee B was seen as a relaxing and luxurious feeling. A Preference Mapping was constructed, and it showed that sweetness, milky, and creaminess improved the liking of the student consumers that make coffee C the most preferred brand among the panelists. In short, the use of flash profiles and check-all-it-dilute/CATA (attributes and emotional) equipped with preference mapping can provide emotional attributes and dashboards that will be important to understand products more than just consumer liking.
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Hunt, David A., Karyn Tabor, Jennifer H. Hewson, Margot A. Wood, Louis Reymondin, Kellee Koenig, Mikaela Schmitt-Harsh et Forrest Follett. « Review of Remote Sensing Methods to Map Coffee Production Systems ». Remote Sensing 12, no 12 (25 juin 2020) : 2041. http://dx.doi.org/10.3390/rs12122041.
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The coffee sector is working towards sector-wide commitments for sustainable production. Yet, knowledge of where coffee is cultivated and its environmental impact remains limited, in part due to the challenges of mapping coffee using satellite remote sensing. We recognize the urgency to capitalize on recent technological advances to improve remote sensing methods and generate more accurate, reliable, and scalable approaches to coffee mapping. In this study, we provide a systematic review of satellite-based approaches to mapping coffee extent, which produced 43 articles in the peer-reviewed and gray literature. We outline key considerations for employing effective approaches, focused on the need to balance data affordability and quality, classification complexity and accuracy, and generalizability and site-specificity. We discuss research opportunities for improved approaches by leveraging the recent expansion of diverse satellite sensors and constellations, optical/Synthetic Aperture Radar data fusion approaches, and advances in cloud computing and deep learning algorithms. We highlight the need for differentiating between production systems and the need for research in important coffee-growing geographies. By reviewing the range of techniques successfully used to map coffee extent, we provide technical recommendations and future directions to enable accurate and scalable coffee maps.
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Pinto-Maglio, Cecília A. F. « Cytogenetics of coffee ». Brazilian Journal of Plant Physiology 18, no 1 (mars 2006) : 37–44. http://dx.doi.org/10.1590/s1677-04202006000100004.
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The genus Coffea L. has around 100 native species distributed in tropical and subtropical areas in Africa, and the most important economic species are C. arabica and C. canephora. C. arabica is exceptional in the genus since it is the only species so far analyzed which is self-compatible, and a natural polyploid with 2n=4x=44 chromosomes; it is considered to be a segmental allopolyploid because it presents a disomic inheritance and a regular meiotic behavior. All other species in the genus are self-incompatible diploids with 2n=2x=22. Cytogenetic studies in Coffea, undertaken since 1912, have followed various phases: initial studies were limited only to establishing chromosome counts. Subsequent studies characterized the karyotypes of various species using conventional cytological techniques. As the somatic metaphase chromosomes of coffee are very small (1 - 3 µm) and morphologically symmetrical, these studies resulted in uniform karyotypes that show almost no differences among species. Since genetic improvement of coffee trees has progressed mainly by means of interspecific hybridizations involving wild species, analyses of microsporogenesis in species and hybrids were needed to establish their genetic affinity and relationships. The first successful attempts to differentiate coffee chromosomes longitudinally were made by mapping pachytene chromomeric patterns and by C and NOR banding techniques. From 1998 onwards, the use of banding techniques with the fluorochromes DAPI and CMA3, and also the cytomolecular technique FISH using rDNA probes, has increased the longitudinal differentiation of coffee chromosomes. The use of the GISH technique with total genomic DNA has revealed the parental species that originated C. arabica species.
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Elisabeth, Muaja Lestari Maria. « PERCEPTUAL MAPPING OF BRANDED COFFEE CHAINS IN MANADO USING MULTI DIMENSIONAL SCALING ANALYSIS ». Jurnal EMBA : Jurnal Riset Ekonomi, Manajemen, Bisnis dan Akuntansi 10, no 2 (23 avril 2022) : 551. http://dx.doi.org/10.35794/emba.v10i2.40296.
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The coffee chain business has penetrated the country since many years ago until unconsciously it has become the lifestyle of many people, especially students and business people of various ages. Not only that, branded coffee chains that entered Indonesia have become a symbol of pride and compete with local coffee businesses. To become a branded coffee chain that dominates the market, of course, it requires customers who can continue to choose the coffee chain. Companies must know find out how customers perceive their company in various ways as a benchmark for strategies that they will continue to use in the future.. The objectives of this study are To Know the Perceptual Mapping of Branded Coffee Chains in Manado (Starbucks and the Coffee Bean). The analytical method used is Multi-dimensional Scaling Analysis with 7p’s as indicators. Based on the results of the analysis and discussion using Perceptual Mapping and Multi-dimensional Scaling (MDS) test, it is concluded that the results of hypothesis testing found that Starbucks becomes the most preferred brand of Coffee Chains compared to the Coffee Bean in Manado.
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Bispo, Rafael C., Rubens A. C. Lamparelli et Jansle V. Rocha. « Using fraction images derived from modis data for coffee crop mapping ». Engenharia Agrícola 34, no 1 (février 2014) : 102–11. http://dx.doi.org/10.1590/s0100-69162014000100012.
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Coffee production was closely linked to the economic development of Brazil and, even today, coffee is an important product of the national agriculture. The State of Minas Gerais currently accounts for 52% of the whole coffee area in Brazil. Remote sensing data can provide information for monitoring and mapping of coffee crops, faster and cheaper than conventional methods. In this context, the objective of this study was to assess the effectiveness of coffee crop mapping in Monte Santo de Minas municipality, Minas Gerais State, Brazil, from fraction images derived from MODIS data, in both dry and rainy seasons. The Spectral Linear Mixing Model was used to derive fraction images of soil, coffee, and water/shade. These fraction images served as input data for the supervised automatic classification using the SVM - Support Vector Machine approach. The best results concerning Overall Accuracy and Kappa Index were obtained in the classification of the dry season, with 67% and 0.41, respectively.
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Cotter, Andrew, et Helene Hopfer. « The Effects of Storage Temperature on the Aroma of Whole Bean Arabica Coffee Evaluated by Coffee Consumers and HS-SPME-GC-MS ». Beverages 4, no 3 (6 septembre 2018) : 68. http://dx.doi.org/10.3390/beverages4030068.
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Although from a food safety point, coffee is considered a shelf-stable product, changes in volatiles over time due to out-gassing and chemical reactions lead to perceivable differences in coffee aroma and “freshness”. Previous studies have looked at the impact of storage conditions on ground or brewed coffee. This study seeks to answer the question of how coffee consumers perceive the smell of coffee grounds of whole beans that have been stored under different conditions: freezer vs. room temperature for 9 weeks compared to a newly roasted control (stored for 1 day). Green beans from the same production lot were roasted to two different levels to also evaluate the impact of roast level on aroma changes. Using projective mapping (PM) followed by ultra-flash profiling (UFP), 48 coffee consumers evaluated, using only smell, 6 different freshly ground coffee samples presented in blind duplicates. In parallel, the profiles of 48 previously reported important coffee volatiles were measured by headspace-solid phase microextraction-gas chromatography-mass spectrometry (HS-SPME-GC-MS) to relate chemical changes to perceivable sensory aroma changes. Overall, consumer product maps mimicked the instrumental measurements in that the lighter roast coffees showed smaller changes due to storage conditions compared to the dark roast samples. Consumers also perceived the frozen dark roast samples to be more similar to the newly roasted control than the samples stored at room temperature.
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Hebbar, R., H. M. Ravishankar, S. Trivedi, V. B. Manjula, N. M. Kumar, D. S. Mukharib, J. K. Mote et al. « NATIONAL LEVEL INVENTORY OF COFFEE PLANTATIONS USING HIGH RESOLUTION SATELLITE DATA ». ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (26 juillet 2019) : 293–98. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-293-2019.
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<p><strong>Abstract.</strong> Coffee is the second most traded commodity in the world and its production has implications in both international and domestic economy. It is an important commercial crop of India and hence, reliable acreage and production estimation is most essential for taking up policy decisions. The coffee growing regions in India are mainly confined to the traditional South Indian states (Karnataka, Kerala and Tamil Nadu) and partly in non-traditional regions (Andhra Pradesh and Odisha) while to a smaller extent in North-Eastern states. Interpretation and mapping of coffee plantations using satellite data is quite challenging due to the diverse and complex cultivation practices. In the present study, multi-resolution and multi-source data was utilized for mapping of coffee plantations in the country. Temporal LISS-III (24.0&thinsp;m) data was used for characterizing the phenology of coffee and other competing plantation crops for selection of optimal high resolution satellite (HRS) datasets. Accordingly, Cartosat-1 (2.5&thinsp;m) and Resourcesat LISS-IV multispectral (5.0&thinsp;m) datasets corresponding to February-April months were utilized. The spectral signature of coffee plantations is determined by the age category of coffee plantations, varietal difference, density & composition of shade trees along with terrain features like slope and aspect. The plantations manifested in different tones of red and mottled texture on the multispectral image. Object oriented classification approach showed encouraging results in homogenous &amp; contiguous areas but showed poor mapping accuracy in heterogeneous regions due to complex spectral signature and varying texture. Thus, a combination of digital and visual interpretation techniques were used for mapping of coffee plantations depending on the suitability. Feature space optimization function was used for selection of object parameters and 14 image features consisting of mean spectral values, standard deviation, NDVI, geometry and contextual parameters were used for classification of coffee plantations using Support Vector Machine (SVM). In case of small holdings and heterogeneous areas, interactive visual interpretation of HRS data at 1&thinsp;:&thinsp;5,000 scale using tone, texture, shape and terrain characteristics was carried out for mapping of coffee plantations with the help of ground truth and field experience of Liaison Officials of Coffee Board. Post-interpretation field verification/validation of the interpreted maps was carried out for the accuracy assessment and the overall mapping accuracy of better than 90.0 per cent was achieved in the study. Total area under coffee plantations was about 4.41 lakh ha (excluding N-E states). This is the first study in the country to generate coffee map at national level for creation of baseline geospatial database which could be updated periodically. Suitability analysis using pedo-climatic and terrain parameters is being carried to promote the coffee cultivation in the non-traditional regions. Further research efforts are necessary for varietal discrimination and modelling of pests and diseases which is critical input for production estimation.</p>
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Chairuddin, Zulkarnain, Sartika Laban, Muh Iksan, Khaerunnisa Khaerunnisa, Suhardjo Suhardjo et Tan Khim Hock. « Mapping of coffee land zoning based on sensory attributes of wine coffee ». Coffee Science 17 (2023) : 1–9. http://dx.doi.org/10.25186/.v17i.2071.
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Cabrera, Lilian Cervo, Carlos Eduardo Caldarelli et Marcia Regina Gabardo da Camara. « Mapping collaboration in international coffee certification research ». Scientometrics 124, no 3 (13 juin 2020) : 2597–618. http://dx.doi.org/10.1007/s11192-020-03549-8.
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Widodo, Prasetyo, et Rian Susila. « ANALISIS KESESUAIAN LAHAN AGROFORESTRI BERBASIS SISTEM INFORMASI GEOGRAFI (SIG) DI DESA SINDULANG KABUPATEN SUMEDANG ». Wanamukti : Jurnal Penelitian Kehutanan 21, no 2 (5 mars 2020) : 125. http://dx.doi.org/10.35138/wanamukti.v21i2.167.
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The condition of social, economic, and culture of forest community has effect to forest condition. Desa Sindulang is one of village that community forest in Taman Buru Masigit Karembi that has majority of farmer and low economic condition. But commodity planting is carried out without an evaluation of the land to determine the level of suitability of the land with the commodities planted. The method by overlay Land Mapping Unit with society land use then analyze of matching suitability land. The results of evaluation divided in 3 units, are : 1) unit I which have land suitability class values with forestry commodities such as Suren (Toona sureni) and Coffee (Coffea Arabica) while agricultural commodities such as Broccoli (Brassica oleracea), Chili (Capsicum annum), Banana (Musa acuminate) and Cabbage (Brasica oleracea). 2) Units II which have land suitability class values with forestry commodities such as Suren (Toona sureni) and Coffee (Coffea arabica) while agricultural commodities such as Tomato (Solanum lycopersicum). 3) Units III which have land suitability class values with forestry commodities such as Suren (Toona sureni), Africa (Maesopsis eminii) and Coffee (Coffea arabica) while agricultural commodities such as Tomato (Solanum lycopersicum), Eggplant (Solanum melongena) Broccoli (Brassica oleracea), Chili (Capsicum annum), Cabbage (Brasica oleracea) and Pineapple (Ananas Comosus).Keywords : Agroforestry, Land suitability, Sindulang Village
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Anggraeni, Nindy Novianti, et Rudi Wibowo. « ANALISIS PENGEMBANGAN KOMBUCHA CASCARA PADA UD. MATT COFFEE DENGAN PENDEKATAN TRIPLE LAYERED BUSINESS MODEL CANVAS ». JSEP (Journal of Social and Agricultural Economics) 14, no 1 (30 mars 2021) : 19. http://dx.doi.org/10.19184/jsep.v14i1.19871.
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Kombucha cascara is a cascara innovation product at UD Matt Coffee was produced starting in 2018 as a new product, so a sustainable business model is needed. The objectivers of this study are to (1) make kombucha cascara business mapping at UD Matt Coffee with TLBMC approach and (2) determine the decision making on TLBMC kombucha cascara elements using Plus Minus Implication Analysis (PMIA) method. The method of determining research area using purposive method at UD Matt Coffee in Sukorejo Village, Sumber Wringin District, Bondowoso Regency. The method of determining the sample used was purposive sampling based on the specified criteria. The data analysis used was TLBMC and PMIA. The result showed that (1) The mapping business model of the kombucha cascara at UD Matt Coffee with TLBMC approach can be described as a whole in three integrated layers, such as economic layer, environmental layer, and social layer. (2) Decision making on TLBMC kombucha cascara elements using the PMIA method gives a total PMIA score in sequence started from higher to the lowes score, such as environmental layer +41, economic layer +38, and social layer +37, shows that UD Matt Coffee’s current decision making in development of kombucha cascara is appropriate and feasible to continue because it has paid attention to all elements in the economic, enviromental, and social layers which is sustainability oriented.
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Kuang, Alan, Iris Erlund, Christian Herder, Johan Westerhuis, Jaakko Tuomilehto et Marilyn Cornelis. « Lipidomic Response to Coffee Consumption ». Nutrients 10, no 12 (1 décembre 2018) : 1851. http://dx.doi.org/10.3390/nu10121851.
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Coffee is widely consumed and contains many bioactive compounds, any of which may impact pathways related to disease development. Our objective was to identify individual lipid changes in response to coffee drinking. We profiled the lipidome of fasting serum samples collected from a previously reported single blinded, three-stage clinical trial. Forty-seven habitual coffee consumers refrained from drinking coffee for 1 month, consumed 4 cups of coffee/day in the second month and 8 cups/day in the third month. Samples collected after each coffee stage were subject to quantitative lipidomic profiling using ion-mobility spectrometry–mass spectrometry. A total of 853 lipid species mapping to 14 lipid classes were included for univariate analysis. Three lysophosphatidylcholine (LPC) species including LPC (20:4), LPC (22:1) and LPC (22:2), significantly decreased after coffee intake (p < 0.05 and q < 0.05). An additional 72 species mapping to the LPC, free fatty acid, phosphatidylcholine, cholesteryl ester and triacylglycerol classes of lipids were nominally associated with coffee intake (p < 0.05 and q > 0.05); 58 of these decreased after coffee intake. In conclusion, coffee intake leads to lower levels of specific LPC species with potential impacts on glycerophospholipid metabolism more generally.
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Tawakal, Anzori, Ricky Zulfiandry, Eko Sumartono et Silke Sachanovrissa. « Bengkulu Coffee Production Development ». AGRITEPA : Jurnal Ilmu dan Teknologi Pertanian 9, no 1 (2 juillet 2022) : 85–112. http://dx.doi.org/10.37676/agritepa.v9i1.2148.
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As an agricultural community, in general, Bengkulu province has gardening. The largest plantations for the community are oil palm, rubber and coffee commodities. People depend their lives on abundant natural potentials but have not been able to manage them properly to stimulate added value. All potentials are still managed traditionally so that productivity is very low. The province of Bengkulu is the 3rd largest national coffee producer, but so far Bengkulu coffee is sold through Lampung and Palembang so it is not known outside. The problems are: The low income and welfare of the coffee farmers in Bengkulu province; The promotion and branding of Bengkulu coffee has not been recognized either nationally or internationally. The intention of compiling the Bengkulu coffee development master plan. One of the activities carried out is conducting research or mapping potential and mapping policy directions in the field of coffee development in Bengkulu Province. The aim of compiling the Bengkulu coffee development master plan a) Increasing the income of coffee farmers in Bengkulu province, b) Increasing the promotion and branding of Bengkulu Coffee at the national and international levels c) Increasing the knowledge of farmers and field officers towards coffee cultivation technology farmers: d) Increasing the role and function of farmer institutions in plantation areas coffee; e) Preparing technological innovations to increase coffee production and quality; The scope of activities is focused on coffee development in the Bengkulu area from upstream, production, downstream and provincial, district / city governments as well as Stake Holders / stakeholders.
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Tridawati, Anggun, Ketut Wikantika, Tri Muji Susantoro, Agung Budi Harto, Soni Darmawan, Lissa Fajri Yayusman et Mochamad Firman Ghazali. « Mapping the Distribution of Coffee Plantations from Multi-Resolution, Multi-Temporal, and Multi-Sensor Data Using a Random Forest Algorithm ». Remote Sensing 12, no 23 (1 décembre 2020) : 3933. http://dx.doi.org/10.3390/rs12233933.
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Indonesia is the world’s fourth largest coffee producer. Coffee plantations cover 1.2 million ha of the country with a production of 500 kg/ha. However, information regarding the distribution of coffee plantations in Indonesia is limited. This study aimed to assess the accuracy of classification model and determine its important variables for mapping coffee plantations. The model obtained 29 variables which derived from the integration of multi-resolution, multi-temporal, and multi-sensor remote sensing data, namely, pan-sharpened GeoEye-1, multi-temporal Sentinel 2, and DEMNAS. Applying a random forest algorithm (tree = 1000, mtry = all variables, minimum node size: 6), this model achieved overall accuracy, kappa statistics, producer accuracy, and user accuracy of 79.333%, 0.774, 92.000%, and 90.790%, respectively. In addition, 12 most important variables achieved overall accuracy, kappa statistics, producer accuracy, and user accuracy 79.333%, 0.774, 91.333%, and 84.570%, respectively. Our results indicate that random forest algorithm is efficient in mapping coffee plantations in an agroforestry system.
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Salmaa Dwiranti, Nabiilah, Ardiansyah Ardiansyah et Nurul Asiah. « Sensory Attributes of Cold Brew Coffee Products at Various Resting Time After Roasting Process ». Pelita Perkebunan (a Coffee and Cocoa Research Journal) 35, no 1 (30 avril 2019) : 42–50. http://dx.doi.org/10.22302/iccri.jur.pelitaperkebunan.v35i1.349.
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The quality of the brewed coffee depends on various factors. Resting time of roasted coffee beans is one of the processes that can affect the sensory charac- teristics of coffee brew. During resting the reduction of CO2 gas level may change and give significan effect on sensory quality of coffee. This study aims to determine the dominant sensory characteristics that can be used as quality parameters of cold brew coffee products at various resting times after roasting. The cold brew coffee product was brewed from roasted Arabica coffee beans with various resting time (0, 1, 3, 5, 7, and 9 days). Projective Mapping (Napping) sensory analysis method was used in this study. The samples were tested by 75 untrained panelists (naive panelists). Multiple Factor Analysis was used to obtain the cold brew coffee sample position configuration. The results of the analysis showed that panelists were able to differen- tiate the characteristic of sensory attributes each sample. The aroma and flavor are the main attributes that can differentiate the characteristics of each sample. From the napping method, the results obtained in the form of individual factor map and preference mapping showed that the sample resting time 1 and 3 days after roasting were assessed by the panelists as closest to the control sample (0 days). In summary, the resting time treatment of roasted coffee beans have a significant effect on the sensory characteristics of cold brew coffee products. This is proofed by changes of aroma, flavor, and aftertaste during certain period of resting time.
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Ferreira, Williams Pinto Marques, José Luis dos Santos Rufino, Humberto Paiva Fonseca, Daniel Marçal de Queiroz, Elpídio Inácio Fernandes Filho, Marcelo de Freitas Ribeiro et Cecília de Fátima Souza Ferreira. « Mapping the mountainous climate in the Matas de Minas region, Brazil which influences the top-quality coffee beverages ». Research, Society and Development 11, no 12 (13 septembre 2022) : e261111233776. http://dx.doi.org/10.33448/rsd-v11i12.33776.
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All the characteristics of the mountainous environment directly influence the coffee crops, and subsequently, on the final coffee note, that reflects the quality of the beverage produced in a region. Despite increasing coffee research, little is known about the influence of the water indices, factors, and the elements of climate on top-quality coffee production potential. Thus, the present study was carried out aiming to analyze the water indices, causes, and aspects of clime, to identify those that most contribute to the potential production of high-quality Arabica coffee beverages in a mountain environment. We considered harvesting the coffee fruits at the cherry stage in 26 municipalities in the Matas de Minas region in the Atlantic Forest Biome in the eastern state of Minas Gerais, and the International Cup of Excellence method was adopted for the sensory evaluation. The principal components analysis and the multiple linear regression (MLR) were used to relate the local environmental variables with the final grade of the coffee beverage. As a result, the Multiple Linear Regression model showed the value of 0.63 for R2. This result means that the joint variability of all the variables considered explained 63% of the changes in coffee beverage quality. And the altitude impact on the grade achieved for the coffee beverage produced in the Matas de Minas region, represented by β, was 0.008068, meaning that for every 100 meters of increase in the altitude, there is an approximate increment of 0.8 points in the final note achieved for the coffee beverage. Among all the environmental characteristics studied, the climatic factor altitude was the main contributor to the coffee top-quality production potential in the Matas de Minas region.
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Santos, Luana Mendes dos, Gabriel Araújo e. Silva Ferraz, Milene Alves de Figueiredo Carvalho, Sabrina Aparecida Teodoro, Alisson André Vicente Campos et Pedro Menicucci Neto. « Use of RPA Images in the Mapping of the Chlorophyll Index of Coffee Plants ». Sustainability 14, no 20 (13 octobre 2022) : 13118. http://dx.doi.org/10.3390/su142013118.
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Coffee trading is an important source of income for the Brazilian commercial balance. Chlorophyll (Chl) are pigments responsible for converting radiation into energy; these pigments are closely related to the photosynthetic efficiency of plants, and the evaluation of the nutritional status of the coffee tree. The inversion method can be used for estimating the canopy chlorophyll content (Chlcanopy) using the leaf chlorophyll content (Chlleaf) and the leaf area index (LAI). The application of vegetation indices (VIs) in high spatial resolution images obtained from remotely piloted aircraft (RPA) can assist in the characterization of Chlcanopy in addition to providing vital and fast information for monitoring crops and aiding decision-making. This study aimed to identify which VIs adequately explain the Chl and evaluate the relationships between the VIs obtained from remotely piloted aircraft (RPA) images and the Chlleaf and Chlcanopy in coffee plants during the wet and dry seasons. The experiment was conducted on a Coffea arabica L. plantation in Lavras, Minas Gerais, Brazil. Images were collected on 26 November 2019 (wet), 11 August 2020 (dry), and 26 August 2021 (dry) by a multispectral camera embedded in a quadcopter. Plant height (H), crow diameter (D), and Chlleaf (a, b and total) data were collected in the field by a metre ruler (H and D) and sensor (Chlleaf). The LAI was calculated based on H and D. The Chlcanopy (a, b, and total) was calculated based on Chlleaf and LAI. The image processing was performed in Pix4D software, and postprocessing and calculation of the 21 VIs were performed in QGIS. Statistical analyses (descriptive, statistical tests, Pearson correlation, residuals calculation, and linear regression) were performed using the software R. The VIs from the RPA that best correlates to Chlcanopy in the wet season were the Modified Chlorophyll Absorption Ratio Index 2 (MCARI2RPA), Modified Simple Ratio (MSRRPA) and Simple Ratio (SRRPA). These VIs had high sensitivity and, therefore, were more affected by chlorophyll variability. For the two dry season studied days, there were no patterns in the relationships between Chlleaf, Chlcanopy, and the VIs. It was possible to use the Chl inversion method for the coffee during the wet season.
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Hakim, Bhanu Rizfa. « EVALUASI ANTROPOMETRI PADA RUANG BREWING KOPI KLINIK KOPI JALAN KALIURANG YOGYAKARTA ». Jurnal Kreatif : Desain Produk Industri dan Arsitektur 4, no 1 (8 octobre 2020) : 18. http://dx.doi.org/10.46964/jkdpia.v4i1.79.
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ABSTRAKRuang Brewing Kopi di Klinik kopi merupakan ruang yang sangat penting oleh para penyaji kopi dan pengunjung karena di ruang inilah segala kegiatan tentang kopi dilakukan seperti, memilih kopi, brewing kopi, menikmati kopi, berbagi pengetahuan tentang kopi dan melakukan pembayaran. Ruang Brewing kopi ini selalu dipenuhi pengunjung dengan bermacam dimensi ukuran tubuh dan barang bawaan. Berdasarkan pengamatan awal ditemukan permasalahan sirkulasi dan gerak terutama pada saat ramai pengunjung, banyaknya pengunjung mengakibatkan rasa tidak nyaman bagi pengunjung lain dan penyaji kopi. Tujuan penelitian ini adalah mengkaji permasalahan ergonomi pada tata ruang sirkulasi dan gerak ruang brewing di Klinik kopi Yogyakarta melalui studi gerak sesuaiergonomi. Hasil kajian ini memberi kontribusi terhadap kenyamanan gerak bagi pengunjung dan penyaji kopi. Tolak ukur dalam penelitian ada 2 aspek yaitu anthropometri dan ergonomic space. Metode yang digunakan dalam penelitian ini adalah dengan metode pemetaan aktivitas ( activity mapping ). Dari hasil analisis ditemukan bahwa yang sekarang tidak memenuhi standar kebutuhan dimensi gerak manusia (anthropometri), maka untuk meningkatkan kualitas ruang brewing kopi yang ergonomis dibutuhkan penataan dan desain perabot yang lebih baik.
ABSTRACTBrewing Coffee in the Klinik Kopi is a very important space by the publishers of coffee and visitors because it is this space in all activities of the coffee is performed such as, pick coffee, roasting coffee, enjoy the coffee, sharing knowledge about coffee and make a payment. Coffee Brewing Chamber is always filled with visitors with various dimensions of body size and stuff. Based on early observations found problems of circulation and motion especially when many visitors, the number of visitors resulted in discomfort for other visitors and publishers. The purpose of this research is to examine the problem of ergonomics on spatial motion and circulation spaces brewing coffee in the clinic as Yogyakarta via the appropriate motion study ergonomics. The results of this study contribute towards motion comfort for visitors and publishers. A benchmark in the study there are two aspects, namely anthropometri and ergonomic space. The methods used in this research is to method mapping activity (activity mapping). From the results of the analysis it was found that the standard did not meet the needs of the present dimensions of human motion(anthropometry), thus improving the quality of coffee brewing an ergonomic space required Setup and better design.
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Androcioli, Humberto Godoy, Heverly Morais, Ayres De Oliveira Menezes Júnor, Adriano Thibes Hoshino, Leonardo Godoy Androcioli et Paulo Henrique Caramori. « Cercosporiose progression in the agroforestry consortium coffee-rubber trees ». Semina : Ciências Agrárias 36, no 6 (9 décembre 2015) : 3647. http://dx.doi.org/10.5433/1679-0359.2015v36n6p3647.
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Cercospora coffeicola is one of the primary diseases that affect coffee plants. Studies indicate that shaded coffee plants reduce the incidence of this disease and that the management of trees and coffee plants arrangement influence in the dissemination of cercospora. The objective of this study was to evaluate the incidence and severity of C. coffeicola at different distances from double rows of rubber trees (Hevea brasiliensis muell. arg.) at two different sunlight exposures (north and south). This study was conducted in Londrina, Parana, between 2008 and 2010, with adult plants of the IAPAR 59 cultivar (Coffea arabica L.) grown at a spacing of 2.5 m x 1.0 m. The distances between the double rows of rubber trees were 13, 16 and 22 m, compared to plants grown under full sun. The disease incidence was assessed monthly by using a non-destructive method. This analysis was conducted on coffee leaves from the third and fourth pairs of two plagiotropic branches, on eight plants per plot, with five replications. These data were used to calculate the area under the curve for the incidence of the brown eye spot. The highest disease incidence occurred in the coffee plants grown under full sun, whereas lowest disease occurred on plants located at up to two meters away from double rows of rubber trees. The incidence of Cercospora leaf spot increased with the distance from the double rows of rubber trees. The results demonstrate that the mapping of cercospora incidence in shaded coffee plants is essential to determinate the best spacing and plants arrangement.
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Cubry, Philippe, Pascal Musoli, Hyacinte Legnaté, David Pot, Fabien de Bellis, Valérie Poncet, François Anthony, Magali Dufour et Thierry Leroy. « Diversity in coffee assessed with SSR markers : structure of the genus Coffea and perspectives for breeding ». Genome 51, no 1 (janvier 2008) : 50–63. http://dx.doi.org/10.1139/g07-096.
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The present study shows transferability of microsatellite markers developed in the two cultivated coffee species ( Coffea arabica L. and C. canephora Pierre ex Froehn.) to 15 species representing the previously identified main groups of the genus Coffea. Evaluation of the genetic diversity and available resources within Coffea and development of molecular markers transferable across species are important steps for breeding of the two cultivated species. We worked on 15 species with 60 microsatellite markers developed using different strategies (SSR-enriched libraries, BAC libraries, gene sequences). We focused our analysis on 4 species used for commercial or breeding purposes. Our results establish the high transferability of microsatellite markers within Coffea. We show the large amount of diversity available within wild species for breeding applications. Finally we discuss the consequences for future comparative mapping studies and breeding of the two cultivated species.
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Maulana, R. R., U. J. Cahyono et M. Muqoffa. « Spatial distribution in the emergence of coffee shops in Surakarta ». IOP Conference Series : Earth and Environmental Science 778, no 1 (1 mai 2021) : 012031. http://dx.doi.org/10.1088/1755-1315/778/1/012031.
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Abstract The phenomenon of the rise of coffee-drinking has become a trend economic-cultural as globalization in lifestyle for the community in Surakarta. This coffee-drinking habit increasingly supporting the emergence of coffee shops that keep flourishing and the number continuously expand. Specifically, each coffee shop presents their own theme and display the architectural style that show its earmark of the coffee shops. It indicates that the growth of coffee shop has contributed to enrich the architecture in the city. The aim of the paper to identify spatial distribution patterns of the emergence of coffee shop in Surakarta. The research is carried out through spatial analysis, which is mapping the distribution of the coffee shops. Later, use spatial observation to find the patterns of distribution from the emergence of the coffee shop. As a result, is expected to be an outset for further research of spatial development structure as seen from the growth of coffee shop in Surakarta.
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Ceha, Rakhmat, M. Dzikron, Chaznin R. Muhamad, Muhammad Farash Syahmi et Shinthia Riyanto. « The Proposal Of West Java Export Coffee Distribution Model ». MIMBAR : Jurnal Sosial dan Pembangunan 35, no 1 (24 juin 2019) : 221–34. http://dx.doi.org/10.29313/mimbar.v35i1.4428.
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Currently, West Java exports coffee through 3 companies, namely Sari Makmur Medan, Indokom Surabaya, and Deltamas Semarang. The long distribution chain causes low prices at farmers’ level. If the coffee is exported directly, it is estimated to increase the selling price of coffee beans at farm level. The purpose of this study is to design a coffee distribution model, so that West Java can export directly to several destination countries by fulfilling the requirements of international trade. In designing the West Java coffee distribution model, four stages were conducted, namely mapping business processes, cluster division, optimization models, and location theory analysis. As the result, this research has produced two alternative proposals for the West Java coffee export distribution model. To test the feasibility of the proposed distribution model, Focus Group Discussion (FGD) has been carried out with stakeholders of coffee cooperatives, Gapoktan (farmer’s association), coffee associations, and others.
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Erichsen, Lars, et Per Bruun Brockhoff. « An application of latent class random coefficient regression ». Journal of Applied Mathematics and Decision Sciences 8, no 4 (1 janvier 2004) : 247–60. http://dx.doi.org/10.1155/s1173912604000161.
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In this paper we apply a statistical model combining a random coefficient regression model and a latent class regression model. The EM-algorithm is used for maximum likelihood estimation of the unknown parameters in the model and it is pointed out how this leads to a straightforward handling of a number of different variance/covariance restrictions. Finally, the model is used to analyze how consumers' preferences for eight coffee samples relate to sensory characteristics of the coffees. Within this application the analysis corresponds to a model-based version of the so-called external preference mapping.
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Diola, Valdir, Giovani Greigh de Brito, Eveline Teixeira Caixeta, Eunize Maciel-Zambolim, Ney Sussumu Sakiyama et Marcelo Ehlers Loureiro. « High-density genetic mapping for coffee leaf rust resistance ». Tree Genetics & ; Genomes 7, no 6 (10 juillet 2011) : 1199–208. http://dx.doi.org/10.1007/s11295-011-0406-2.
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Pramoedyo, Henny, Arif Ashari et Alfi Fadliana. « Forecasting and Mapping Coffee Borer Beetle Attacks Using GSTAR-SUR Kriging and GSTARX-SUR Kriging Models ». ComTech : Computer, Mathematics and Engineering Applications 11, no 2 (16 décembre 2020) : 65–73. http://dx.doi.org/10.21512/comtech.v11i2.6389.
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The research aimed to use Generalized Space Time Autoregressive (GSTAR) and GSTARX modeling with the Seemingly Unrelated Regression (SUR) approach and combine them with the Kriging interpolation technique in an unobserved location. The case study was coffee borer beetle forecasting in Probolinggo Regency, East Java, Indonesia, with Watupanjang Village as the unobserved location. The results show that GSTAR-SUR Kriging and GSTARX-SUR Kriging models can predict coffee borer beetle attacks in unobserved areas with high accuracy. It is indicated by the Mean Absolute Percentage Error (MAPE) values of less than 10%. The addition of exogenous variables (rainfall) into the model is proven to improve the accuracy of the model. The Root-Mean-Square Error (RMSE) value of the GSTARX-SUR Kriging model is smaller than the GSTAR-SUR Kriging model. The structure of the model produced from the research, GSTARX-SUR (1,[1,12])(10,0,0), can be used as a reference in modeling coffee borer beetle attacks in other regencies. Map of forecasting coffee borer beetle attack shows that the spread of coffee borer beetle attack is spatial clustering with the attack center located in the eastern region of Probolinggo Regency.
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Kartika, Nurullaily, et Faiz Prawira Setiawan. « Lean Production Implementation on Coffee Beans Business ». Jurnal Manajemen Teori dan Terapan| Journal of Theory and Applied Management 13, no 3 (6 décembre 2020) : 294. http://dx.doi.org/10.20473/jmtt.v13i3.19577.
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The purpose of this study is to analyze the application of Lean Production implementation in Kopi Pak Tani. Waste and a big map of the production process originated from Kopi Pak Tani will be used as data. While the big map of the production process is obtained by observation. The background of this research is to achieve a competitive advantage in the production process in order to compete with other competitors. This research applies the qualitative method which consists of 2 different ways for gaining data. First, data obtained by the interview process will proceed to the data reduction method, data presentation method, and conclusion determination method. Second, data from observation will through VALSAT Process Activity Mapping Analysis. The results of this study will become a guideline to implement a lean business process by looking at the mapping analysis of process activity. Furthermore, from this study, the discovered wastes are in lead time, inventory, defect, and transportation.
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Juwita, Oktalia, Fajrin Nurman Arifin et Fitriyana Dewi. « The Online Marketing Strategic Planning for Jember Coffee SMEs ». IJISTECH (International Journal Of Information System & ; Technology) 2, no 1 (30 novembre 2018) : 14. http://dx.doi.org/10.30645/ijistech.v2i1.15.
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Coffee is a kind of beverage that is widespread and much-loved in the world. Today coffee has become a lifestyle. Various kinds of coffee are offering in many shops. This is a great opportunity for entrepreneurs, especially SMEs providers of coffee products, in introducing and marketing variants of coffee products that are owned at the national and international level. One of the problems often arises in the marketing of SMEs products is the lack of information and marketing access to potential markets. An effective and appropriate marketing strategy is needed, especially for SMEs producing coffee products. The research method is done by observation and interview to get primary and secondary data. After the data obtained, analyzed the current condition using SWOT analysis and then followed by strategy mapping using SOSTAC method. From the analysis that has been done, needed a website for the directory to introduce SMEs engaged in the production and sale of coffee in Besuki Raya area.
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Wurjaningrum, Febriana, et Caraka Abi Abdilah Shafak. « How Does the Value Stream Mapping Method Identify Waste and Improve the Coffee Bean Production Process of a Café ? » Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management 15, no 3 (17 décembre 2022) : 361–75. http://dx.doi.org/10.20473/jmtt.v15i3.40440.
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Objective: This study aims to identify waste and its causes in the production process and provide suggestions for improvement. Design/Methods/Approach: The author uses a qualitative research method approach to obtain research data. The author identifies the waste that occurs using Value Stream Mapping (VSM). Identify waste in the coffee bean production process using structured question weighting and direct interviews with several parties related to the production process, including the café owner, production manager, head barista, and two baristas in the production section. Findings: The waste causes that occur in the identified coffee production process are waiting time due to the first stage sorting process still using hands manually, the absence of tools, defects caused by the inevitable side effects of the roasting process, and unnecessary motion. After knowing the cause of the waste that occurred, the company was given a suggestion for improvement using 5W-1H tools, such as using a coffee sieve of a certain size for the first stage sorting process, making a new product in the form of ground coffee, processing defect coffee beans that always exist from the roasting results, and adding a fan and exhaust in the roasting room to reduce unnecessary movement during the process. Originality: The paper contributes to the limited literature on lean production in the coffee processing business and disseminates this information to improve production efficiency.
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Suwasono, Sony, Shinta Syafrina Endah Hapsari, Ida Bagus Suryaningrat et Djoko Soemarno. « Lean Manufacturing Implementation in Indonesian Coffee Processor ». International Journal on Food, Agriculture and Natural Resources 3, no 2 (22 août 2022) : 37–45. http://dx.doi.org/10.46676/ij-fanres.v3i2.96.
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The rapid competition between business and sustainability policy has encouraged the coffee industry in Indonesia to make their business more environmentally friendly. However, this initiative has yet to be fully underway. Several inefficiencies still prevail in Arabica coffee production sites, such as product defects in inventory, the inefficiency of production machine performance, and dependence on manpower that can increase the production and inventory costs. Therefore, the Arabica coffee agroindustry needs to improve its performance by addressing these issues in production activity using the lean manufacturing approach. Several tools proven influential to reduce waste in the agroindustry are Value Stream Mapping (VSM) and VALSAT. VSM could document the entire mapping of material and information management, but cannot classify the time required to complete the whole process. VALSAT has several derivative tools, but polyacrylamide (PAM) and Supply Chain Response Matrix (SCRM) are mostly used in agroindustry to classify value-added time of processes and illustrate the supply chain cumulative inventory of a company. The result of this study shows that the Indonesian Arabica coffee industry could reduce its cycle time by 57%, lead time by 63%, and changeover time by 50%. In addition, the recommendations result in the involvement of only 2 people during the drying process and eliminate the non-value-added time, while improving the overall production efficiency and capacity.
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Raobi, Ilham, Yulia Dewi Fazlina et Sugianto Sugianto. « Evaluasi Kesesuaian Lahan untuk Pengembangan Kopi Robusta (Coffea canephora) Menggunakan Sistem Informasi Geografis di Kecamatan Darul Hasanah Kabupaten Aceh Tenggara ». Jurnal Ilmiah Mahasiswa Pertanian 6, no 4 (1 novembre 2021) : 699–706. http://dx.doi.org/10.17969/jimfp.v6i4.18442.
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Abstrak. Kabupaten Aceh Tenggara ingin merencanakan kawasan pengembangan kopi robusta di Kecamatan Darul Hasanah yang banyak didominasi pada Kawasan Taman Nasional Gunung Leuser. Kawasan yang akan dijadikan pengembangan kopi robusta di Kecamatan Darul Hasanah telah menjadi kawasan kemitraan konservasi, Untuk menjamin kelestarian lingkungan maka perlu dilakukan evaluasi kesesuaian lahan dengan memanfaatkan Sistem Informasi Geografis dalam analasisnya untuk mendapatkan hasil peta kesesuaian lahan untuk pengembangan kopi robusta. Penelitian ini bertujuan untuk menentukan tingkat kesesuaian lahan kopi robusta dan mengetahui luas lahan yang berpotensi untuk pengembangan kopi robusta di Kecamatan Darul Hasanah Kabupaten Aceh Tenggara. Penelitian ini dilakukan dengan metode survei deskriptif. Pencocokan (matching) dilakukan dengan menggunakan data karakteristik lahan dengan syarat tumbuh tanaman kopi robusta untuk menentukan tingkat kesesuaian lahan. Pengolahan data pemetaan dilakukan dengan memanfaatkan Sistem Informasi Geografis. Lokasi rencana pengembangan kopi robusta di Kecamatan Darul Hasanah Kabupaten Aceh Tenggara memiliki 10 satuan peta lahan dengan tingkat kesesuaian lahan aktual tergolong cukup sesuai (S2) dan sesuai marginal (S3) dengan faktor pembatas curah hujan (wa), kemiringan lereng (eh), batuan di permukaan (lp) dan retensi hara (nr). Tingkat kesesuaian lahan potensial tergolong cukup sesuai (S2) dengan faktor pembatas curah hujan (wa). Kawasan yang berpotensi untuk pengembangan kopi robusta di kecamatan Darul Hasanah Kabupaten Aceh Tenggara memiliki luas 353,76 hektar.Evaluation of Land Suitability for Robusta Coffe (Coffea canephora) Development using Geographic Information System in Darul Hasanah Sub-District of Southeast Aceh RegencyAbstract. Southeast Aceh Regency wants to plan a robusta coffee development area in Darul Hasanah District, which is mostly dominated by the Gunung Leuser National Park Area. The area that will be used as robusta coffee development in Darul Hasanah District has become a conservation partnership area. To ensure environmental sustainability, it is necessary to evaluate land suitability by utilizing Geographic Information Systems in its analysis to obtain land suitability maps for robusta coffee development. This study aims to determine the level of suitability of robusta coffee land and determine the area of land that has the potential for robusta coffee development in Darul Hasanah District, Southeast Aceh Regency. This research was conducted with a descriptive survey method. Matching is done by using data on land characteristics with the conditions for growing robusta coffee plants to determine the level of land suitability. Mapping data processing is done by utilizing the Geographic Information System. The location of the Robusta coffee development plan in Darul Hasanah District, Southeast Aceh Regency has 10 land map units with the actual land suitability level classified as quite suitable (S2) and marginally suitable (S3) with limiting factors of rainfall (wa), slope (eh), rocks on the surface (lp) and nutrient retention (nr). The level of potential land suitability is quite suitable (S2) with the limiting factor of rainfall (wa). The area that has the potential for robusta coffee development in Darul Hasanah sub-district, Southeast Aceh district has an area of 353.76 hectares.
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김기란 et 김동진. « A Perceptual Mapping of Coffee Shop Brands and Preference Attributes ». Culinary Science & ; Hospitality Research 16, no 3 (juin 2010) : 66–75. http://dx.doi.org/10.20878/cshr.2010.16.3.005.
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김기란 et 김동진. « A Perceptual Mapping of Coffee Shop Brands and Preference Attributes ». Culinary Science & ; Hospitality Research 16, no 3 (juin 2010) : 66–75. http://dx.doi.org/10.20878/cshr.2010.16.3.005005005.
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Nogueira Martins, Rodrigo, Francisco de Assis de Carvalho Pinto, Daniel Marçal de Queiroz, Domingos Sárvio Magalhães Valente, Jorge Tadeu Fim Rosas, Marcelo Fagundes Portes et Elder Sânzio Aguiar Cerqueira. « Digital mapping of coffee ripeness using UAV-based multispectral imagery ». Computers and Electronics in Agriculture 204 (janvier 2023) : 107499. http://dx.doi.org/10.1016/j.compag.2022.107499.
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Quesada-Román, Adolfo, Lilliam Quirós-Arias et Juan Carlos Zamora-Pereira. « Interactions between Geomorphology and Production Chain of High-Quality Coffee in Costa Rica ». Sustainability 14, no 9 (27 avril 2022) : 5265. http://dx.doi.org/10.3390/su14095265.
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High-altitude coffee has an international reputation due to its high quality, especially in countries with a long production history, such as Costa Rica. Specific geographical characteristics determine the regions where high-altitude coffee can be cultivated. Over the last two decades, new production conditions have promoted the growth of smallholder coffee farms in the Upper Buenavista Catchment (UBC) in the South of Costa Rica. To understand this phenomenon’s process, we initially performed a detailed geomorphological mapping of the high-elevation production sites in the UBC. Then, we used remote sensing to determine the coffee land cover (2005, 2012, and 2018) to compare their landforms. Furthermore, we analyzed the production–processing–market chain that has promoted coffee plantations since 2005. Our results show that coffee farmers chose more unstable and erosive areas with short-term production prospects to cultivate premium-priced coffee. Moreover, farmers have changed their role in the coffee sector, evolving from small producers to entrepreneurs with specialized knowledge. These actions may reduce economic risks and improve the household incomes of smallholder coffee producers. However, limited research has been conducted along the tropics about the relationships between landforms, socioeconomic drivers, and high-altitude coffee yield. Therefore, our results are essential to present geomorphology and applied geography as baselines in land-use planning for agricultural landscapes.
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Aklimawati, Lya, Djoko Soemarno et Surip Mawardi. « Identification and Mapping of Readiness of Micro and Small Coffee Industry Cluster Development ». Pelita Perkebunan (a Coffee and Cocoa Research Journal) 31, no 3 (31 décembre 2015) : 208–22. http://dx.doi.org/10.22302/iccri.jur.pelitaperkebunan.v31i3.169.
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Cluster development of micro and small-scaled coffee industry is an effortto improve the economy of community by utilizing local resources. This studywas aimed to identify phase of cluster growth through determinant factors ofindustrial cluster growth; to assess a linkage between economy players in theindustrial cluster; and to identify strength, weakness, opportunity, and threat incoffee industry development. This research was carried out in Sumberwringin,Bondowoso District, East Java. Survey method through direct observation andinterviews were conducted in this study. Data collected included primary andsecondary data. Number of respondents were 25 industry players selected byjudgement sampling method. The data were analyzed by exploratory descriptivewith content analysis method. This research concluded that industrial clusterstudied was still in phase of formation and initiative (embryo) and its growthpattern followed Pattern III. Interrelationship between core industries has notbeen established, while linkage between core industries and supporting industrieshad already well-established. Strength and opportunity in coffee industrydevelopment included raw materials availability, market segment growth. Smalland micro enterprises credit facility, supporting facility, and labor availability.Constraints and threat faced by coffee industry included limited market access,in adequate machineries, limited working capital, raw materials quality, inconsistentproduct quality, credit claim, and competitors.
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Kohlmeyer, James M., et Janet A. Samuels. « Rebecca's Coffee and Tea House : A Strategic Mapping and Balanced Scorecard Case Study ». Issues in Accounting Education 32, no 2 (1 avril 2016) : 73–81. http://dx.doi.org/10.2308/iace-51474.
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ABSTRACT This case is designed to be used in an undergraduate or M.B.A. managerial/cost accounting course. The case asks students to act as advisors to the owner of a relatively new coffee and tea house. Students' familiarity with coffee houses enhances the real-life application of cost/managerial concepts in the case. The primary learning objectives include understanding quality costs, developing a strategy map, designing a balanced scorecard (BSC), analyzing how some of the BSC measures would be captured and monitored, and articulating the advantages/disadvantages of linking a BSC to employee evaluation. The small business is easily understood by students and, therefore, the case allows for rich class discussion.
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Agustini, Prima Mulyasari, Eli J. Miharja et Tuti Widiastuti. « LIBERICA COFFEE FARMERS GROUP COMMUNICATION PATTERN FOR SUPPORT OF SUKOREJO ECOTOURISM ». WACANA : Jurnal Ilmiah Ilmu Komunikasi 19, no 1 (29 juin 2020) : 82. http://dx.doi.org/10.32509/wacana.v19i1.1009.
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Tanjung Jabung Barat which is a peatland with the main commodity production of Liberica Coffee, the area is being developed by oil and gas companies and governments into ecotourism destinations. Ecotourism development is considered to be able to improve the walfare of the community and also maintain the conservation value of the coffee ecosystem. Liberica Coffee farmers are empowered to support ecotourism. This paper aims to describe about: (1) Interaction between Liberica Coofee farmers and their interactions with the stakeholders, (2) A one-way and two-way communication hierarchy between farmers and the stakeholders, and (3) the mapping of communication networks between liberica coffee farmers and the stakeholders. This study was conducted using qualitative methods with interviews and FGD were conducted with Liberica Coffee farmers, the company and the local government. The conclusion of this paper indicate that: (1) coffee farmers carry out intensive and long duration communication conducted at the coffee beans processing site. (2). Communication generally takes two directions so there is a tendency for farmers to take action and move together without waiting for orders, and (3) Communication is carried out by the leader of the farmer group with the stakeholders also carrried out intensively and patterned so that it can support the development of the ecotourism in “Sukorejo” Liberica Coffee Village in a realtively short period of time.
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Lashermes, P., M. C. Combes, N. S. Prakash, P. Trouslot, M. Lorieux et A. Charrier. « Genetic linkage map of Coffea canephora : effect of segregation distortion and analysis of recombination rate in male and female meioses ». Genome 44, no 4 (1 août 2001) : 589–95. http://dx.doi.org/10.1139/g01-041.
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Two complementary segregating plant populations of Coffea canephora were produced from the same clone. One population (DH) comprised 92 doubled haploids derived from female gametes, while the other population (TC) was a test cross consisting of 44 individuals derived from male gametes. Based on the DH population, a genetic linkage map comprising 160 loci was constructed. Eleven linkage groups that putatively correspond to the 11 gametic chromosomes of C. canephora were identified. The mapped loci included more than 40 specific sequence-tagged site markers, either single-copy RFLP probes or microsatellites, that could serve as standard landmarks in coffee-genome analyses. Furthermore, comparisons for segregation distortion and recombination frequency between the two populations were performed. Although segregation distortions were observed in both populations, the frequency of loci exhibiting a very pronounced degree of distortion was especially high in the DH population. This observation is consistent with the hypothesis of strong zygotic selection among the DH population. The recombination frequencies in both populations were found to be almost indistinguishable. These results offer evidence in favour of the lack of significant sex differences in recombination in C. canephora.Key words: coffee, mapping, sex differences, segregation distortion, recombination frequency.
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Molin, J. P., G. D. C. Faulin et W. M. Stanislavski. « YIELD MAPPING AND VARIABLE RATE OF FERTILIZERS FOR COFFEE IN BRAZIL ». Acta Horticulturae, no 824 (avril 2009) : 261–66. http://dx.doi.org/10.17660/actahortic.2009.824.30.
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Ortega-Huerta, Miguel Alfonso, Oliver Komar, Kevin P. Price et Hugo J. Ventura. « Mapping coffee plantations with Landsat imagery : an example from El Salvador ». International Journal of Remote Sensing 33, no 1 (29 septembre 2011) : 220–42. http://dx.doi.org/10.1080/01431161.2011.591442.
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Hwang, Byongjun, Kitessa Hundera, Bizuneh Mekuria, Adrian Wood et Andinet Asfaw. « Intensified Management of Coffee Forest in Southwest Ethiopia Detected by Landsat Imagery ». Forests 11, no 4 (9 avril 2020) : 422. http://dx.doi.org/10.3390/f11040422.
Texte intégralRésumé :
The high forests in southwest Ethiopia, some of the last remaining Afromontane forests in the country, are home to significant forest coffee production. While considered as beneficial in maintaining forests, there have been growing concerns about the degradation caused by intensive management for coffee production in these forests. However, no suitable methods have been developed to map the coffee forests. In this study, we developed a tie-point approach to consistently estimate the degree of degradation caused by intensive management by combining use of Landsat imagery with in-situ canopy cover and tree survey data. Our results demonstrate a clear distinction between undisturbed natural forest and heavily managed coffee forest due to changes in forest structure and canopy cover caused by intensive management in the coffee forest. Temporal analysis of 32 years of Landsat imagery reveals a progressive and significant transition in the level of degradation in the coffee forest over this period. This is the first time to our knowledge, that this progressive intensification of coffee forest has been measured. There is a major intensification in the mid-1990s, which follows the introduction of new liberal economic policies by the Federal government established in 1991, rising coffee prices, and changes in state control over access to the forest. The question remains as to how these 20 years of intensive management in coffee forest have affected forest biodiversity and, more importantly, how canopy trees in this forest can be regenerated in the future. This study provides potential satellite-based mapping and ground-based photography and tree survey methods to help investigate the impacts of intensive management within coffee forest on biodiversity and regeneration.
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Santana, Lucas Santos, Gabriel Araújo e. Silva Ferraz, Alberdan José da Silva Teodoro, Mozarte Santos Santana, Giuseppe Rossi et Enrico Palchetti. « Advances in Precision Coffee Growing Research : A Bibliometric Review ». Agronomy 11, no 8 (5 août 2021) : 1557. http://dx.doi.org/10.3390/agronomy11081557.
Texte intégralRésumé :
Precision coffee-growing technologies contribute to increased yield, operational efficiency, and final product quality. In addition, they strengthen coffee growing in the global agricultural scenario, which makes this activity increasingly competitive. Scientific research is essential for technological development and offering security regarding its application. For relevant research identification, bibliometric revision methods expose the best studies and their relationships with countries and authors, providing a complete map of research directions. This study identified the main contributions and contributors to academic research generation about precision coffee growing from 2000 to 2021. Bibliometric analysis was performed in VOSViewer software from the referential bases Scopus and Web of Science that identified 150 articles. Based on the number of citations, publications about precision coffee-growing showed Brazilian institutions at the top of the list, and Brazil’s close relationships with North American and South African institutions. Geostatistical analysis, remote sensing and spatial variability mapping of cultivation areas were used in most experimental research. A trend in research exploring machine learning technologies and autonomous systems was evident. The identification of the main agents of scientific development in precision coffee growing contributes to objective advances in the development and application of new management systems. Overall, this analysis represents wide precision coffee growing research providing valuable information for farmers, policymakers, and researchers.
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Chemura, Abel, Onisimo Mutanga, John Odindi et Dumisani Kutywayo. « Mapping spatial variability of foliar nitrogen in coffee (Coffea arabica L.) plantations with multispectral Sentinel-2 MSI data ». ISPRS Journal of Photogrammetry and Remote Sensing 138 (avril 2018) : 1–11. http://dx.doi.org/10.1016/j.isprsjprs.2018.02.004.
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Kholek, Abdul, Muhammad Izzudin, Alfitri Alfitri et Dyah Hapsari. « Strategi Pendampingan Inovasi Produk Olahan Kopi di Desa Palak Tanah, Muara Enim ». Agrokreatif : Jurnal Ilmiah Pengabdian kepada Masyarakat 8, no 3 (30 novembre 2022) : 329–38. http://dx.doi.org/10.29244/agrokreatif.8.3.329-338.
Texte intégralRésumé :
Coffee is one of the leading commodities in Muara Enim Regency, South Sumatra Province. The coffee commodity is the backbone of the village community's economy, especially in the highlands of South Sumatra. One of them is Palak Tanah Village, Muara Enim Regency. The coffee commodity has been processed by farmers from generation to generation with an economic chain that still relies on tokeh (local collectors). Selling coffee beans that are still raw and unprocessed has no added value to the community's economic well-being. This condition because the rural community does not undertake product innovation for coffee commodities. Regarding this circumstance, our team tries to serve and empower through Coffee Processed Product Innovation Assistance in Tanah Palak Village, Muara Enim, South Sumatra. The aim of the assistance from the university is to encourage the successful realization of one product innovation per village for the village community. The method used was PLA (Participatory Learning and Action), divided into two stages involvement in initial mapping and mentoring activities to produce village innovation products. This empowerment activity was carried out for 40 days by Sriwijaya University students and lecture. The main products of this assistance were processed village superior coffee. There are dodol (taffy made) and kemplang (crisp) coffee. The empowerment was done by a team in Palak Tanah Village for 40 days and evaluating whether the village community was able to understand and apply innovations for processed coffee products. The key to the success of this empowerment program is repackaging, branding, and online marketing. In the last week's evaluation, the companion team made sure that the village community was able to market their own products through the online shop.
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Fadhil, Rahmat, Qanytah Qanytah, Dwi Yuni Hastati et Mohamad Syamsul Maarif. « Development Strategy for a Quality Management System of Gayo Coffee Agro-Industry Using Soft Systems Methodology ». Periodica Polytechnica Social and Management Sciences 26, no 2 (6 août 2018) : 168–78. http://dx.doi.org/10.3311/ppso.11341.
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The potential of Gayo coffee production in Aceh Province, Indonesia, has not been thoroughly well optimized, especially the low quality of coffee products and an inadequate quality management. Resulting in a demand of a holistic mapping problem system to elaborate the problem and discover the root and the most suitable solution. This article explains the development strategy for quality management system of Gayo coffee agro-industry using Soft Systems Methodology (SSM) approach. The SSM approach is able to provide solutions for unstructured problems. In this case, it is recommended to initiate an improvement from the farmers and exporters regarding the planning, controlling, and improving the quality under a control of local government, research institutions, and universities. Building a union and tools for the quality observation, control, and improvement is highly needed with a continuous process to achieve a sustainable improvement.
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Kuswadi, D., et Fitriani. « Soil bioengineering for sustainable coffee farming in Way Besai sub-watersheds, Lampung, Indonesia ». IOP Conference Series : Earth and Environmental Science 922, no 1 (1 novembre 2021) : 012023. http://dx.doi.org/10.1088/1755-1315/922/1/012023.
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Abstract Soil bioengineering is part of vegetative land conservation activities, including covering all use of plants to maintain the carrying capacity of the land. The sustainability of coffee farming achievement in the upstream watershed area is closely related to the application of soil bioengineering technology. This study conducted to identify the recent studies of soil bioengineering technology and its application in coffee farming toward increasing the land productivity in the upstream watershed. The research location is a smallholder coffee plantation upstream of the Way Besay sub-watershed, spread over 3 sub-districts, Air Hitam, Way Tenong, and Sumber Jaya sub-District, West Lampung, Lampung, Indonesia. Coffee farmers as many as 167 people as respondents. The data analysis method used exploration of the applicability of soil bioengineering technology at the micro-level. The mapping of the role of soil bioengineering trace using the VosViewer tool. The results of the analysis show that the readiness level application of soil bioengineering technology in coffee farming includes the production and use of organic fertilizers made from local materials, the use of mulch as soil cover, agroforestry with a variety of tall canopy plants/MPTS, the planting of multiple cropping (planting various yielding crops), and plant diversification with alley planting. Soil bioengineering technology has a very high potential to increase land productivity to support sustainable coffee production in the upstream area of the Lampung watershed.