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Coffee Farmers' Adaptation to Climate Change in Pamatang Sidamanik (Case Study: Pamatang Sidamanik District, Simalungun Regency, North Sumatra) Ramainim Saragih; Andrian Yosia Marpaung; Jhonson A Marbun; Sry Artawati
Jurnal Penelitian Pendidikan IPA Vol 11 No 11 (2025): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i11.13344

Abstract

This research is based on the fact that recently there have been frequent changes in weather compared to previous years, according to data from the Central Statistics Agency (BPS) of Simalungun Regency, it does not show major climate changes but has changed the perception of coffee farmers towards climate change in Pamatang Sidamanik District. This research was located in 3 villages in Pamatang Sidamanik District, namely Pamatang Sidamanik, Bandar Manik, and Sait buttu Saribu. The research method used was qualitative and quantitative, with data collection through questionnaires, interviews, and observations of 60 farmers selected purposively. Research data was measured using a Likert scale and analyzed using the Spearman correlation test and multiple linear regression. The results of this study are based on the frequency of farmers' perceptions, some farmers perceive changes in climate components as the same as before, although some farmers stated that there have been changes. When associated with climate components, it turns out that the perception of coffee farmers is that rainfall has increased, rainy days have increased, and minimum temperatures have increased. While maximum temperatures, air humidity, and sunlight intensity are moderate or the same as before. Mitigation measures as an effort to adapt to climate change by planting shade trees. Changes in all climate components are perceived to have a negative impact on coffee plants, for changes in air temperature, rainfall and rainy days are minimized through mitigation actions by farmers, while other climate components are not significant or real. The results of multiple linear regression analysis show that simultaneously the ratio of coffee plants to shade, fertilizer costs, labor costs and land area affect coffee farming income but partially only labor costs affect coffee farming income.
Peningkatan Efisiensi Biaya Melalui Integrasi Cabang - Cabang Usahatani Di Nagori Bosar Kecamatan Panombeian Panei Jhonson A Marbun; Romauli Simanjuntak; Josua Tambunan; Sri Maya Purba; Freddy Pasaribu
Jurnal Pengabdian Masyarakat Sapangambei Manoktok Hitei Vol. 2 No. 2 (2022): Jurnal Pengabdian Masyarakat SAPANGAMBEI MANOKTOK HITEI
Publisher : Universitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36985/jcp8p583

Abstract

Nagori Negeri Bosar is an agricultural village located around the oil palm plantation of Marjandi plantation. In general, farmers in this village manage dry land with various types of crops, such as corn, peanuts, cassava, and cocoa. In addition, they also raise livestock, pigs in cages or cattle grazing in plantation areas. The management of farming branches is separate from each other, therefore they are not complementary. This is a problem that is trying to be solved through this community service activity. The purpose of this activity is to integrate farming branches managed by farming families so that efficiency occurs through reducing production costs and will further increase family income as well as the welfare of farmer families This community service activity is intended to empower farmers, especially through a group approach. Various extension methods were applied, such as lectures, field meetings and the practice of processing farm waste into the next production material/input. The results obtained were fodder silage made from corn straw, peanuts and lamtoro leaves and cow dung compost enriched with cocoa husk and oil palm flower buds. The practice of making silage and compost has worked quite well, but the enthusiasm of farmers is still not good, therefore farmer empowerment programs need to be continued by prioritizing changes in mindset or principles of environmentally friendly and efficient farming management
Factors That Influence Farmers' Decisions in Accessing Farm Business Credit at BRI Bank (Case Study: Rabuhit Village, Gunung Maligas District, Simalungun Regency) Roeskani Sinaga; Ramainim Saragih; Apriliya Sapitri; Martua Siadari; Jhonson A Marbun
Jurnal Ilmiah Accusi Vol. 8 No. 1 (2026): Jurnal Ilmiah Accusi
Publisher : Program Studi Akuntansi Universitas Simalungun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36985/at8y3988

Abstract

This study was conducted in Rabuhit Village, Gunung Maligas District, Simalungun Regency, with three primary objectives: (1) to identify the factors influencing farmers' decisions to access agricultural business credit from BRI Bank; (2) to determine the most dominant factors affecting farmers' decisions to obtain agricultural business credit in Rabuhit Village; and (3) to examine the reasons why some farmers access agricultural business credit while others do not. Data were collected through observation, interviews, and structured questionnaires. The study involved 30 respondents, consisting of 20 farmers who had accessed agricultural business credit and 10 farmers who had not. The respondents were selected based on the following criteria: active farmers residing in Rabuhit Village, aged between 18 and 65 years, owning or cultivating either self-owned or rented agricultural land, and willing to provide the information required for the study. The data were analyzed using multiple linear regression analysis and descriptive percentage analysis. The results of the study indicate that: (1) the factors significantly influencing farmers' decisions to access agricultural business credit from BRI Bank are income and farming experience; (2) among the variables examined, income and farming experience are the most dominant factors affecting farmers' decisions to access agricultural business credit; and (3) the primary reasons farmers in Rabuhit Village access agricultural business credit are insufficient working capital and financial difficulties resulting from crop failure. In contrast, farmers who do not access agricultural business credit generally cite the lack of acceptable collateral and the availability of sufficient business capital as the main reasons for not applying for credit
Analysis Of Factor Affecting Cocoa Farmers’ Income in Nagori Pinangratus, Jorlang Hataran District, Simalungun Regency Sry Artawati Manik; Roeskani Sinaga; Jhonson A Marbun; Febriani Issula Ningtias
Jurnal Ilmiah Accusi Vol. 8 No. 1 (2026): Jurnal Ilmiah Accusi
Publisher : Program Studi Akuntansi Universitas Simalungun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36985/9f3azj50

Abstract

This study aims to evaluate the economic feasibility of cocoa farming and identify the factors influencing cocoa farmers’ income in Nagori Pinangratus, Jorlang Hataran District, Simalungun Regency. The study was conducted from September to November 2024 and involved 45 cocoa farmers selected using purposive sampling. The data were analyzed using farm income analysis, the Revenue–Cost Ratio (R/C Ratio), and multiple linear regression. The results indicate that the average annual income of cocoa farmers was IDR 11,046,662.60, with an R/C Ratio of 4.71, indicating that cocoa farming in the study area is economically feasible. The regression results further demonstrate that land area and production volume have positive and statistically significant effects on farmers’ income, whereas production costs have a negative and statistically significant effect. Simultaneously, the three independent variables significantly affect farmers’ income, as indicated by an F-statistic of 50.939 with a significance level of 0.000. The coefficient of determination (R²) of 0.867 indicates that 86.7% of the variation in farmers’ income can be explained by land area, production costs, and production volume, while the remaining 13.3% is attributable to other factors not incorporated into the model. These findings suggest that strategies to enhance cocoa farmers’ income should focus on optimizing land utilization, improving the efficiency of production-cost management, and increasing farm productivity