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The Determinants of Oil Palm Farmers' Income in Suka Makmur Village, Gunung Meriah District, Aceh Singkil Regency Indriyani Aprilya; Syahril; Noval Suhendra
Majapahit Journal of Islamic Finance and Management Vol. 6 No. 2 (2026): Islamic Finance and Management
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/mjifm.v6i2.1204

Abstract

This study aims to analyze the determinants of oil palm farmers' income in Suka Makmur Village, Gunung Meriah District, Aceh Singkil Regency. The independent variables are land area, production, Fresh Fruit Bunch (FFB) selling price, agricultural technology, and capital, while the dependent variable is farmers' income. A quantitative approach was used, with data collected through observation, interviews, and questionnaires distributed to 107 farmers using a saturated sampling technique. Data were analyzed using multiple linear regression with SPSS. The results show that production, FFB selling price, and agricultural technology partially have a positive and significant effect on income, capital has a negative and significant effect, while land area has no significant effect. Simultaneously, all variables significantly affect income, with an Adjusted R² of 0.990. It is recommended that farmers improve farm productivity and that local government provide extension services and better access to price information.
The Determinants of Oil Palm Farmers' Income in Suka Makmur Village, Gunung Meriah District, Aceh Singkil Regency Indriyani Aprilya; Syahril; Noval Suhendra
Majapahit Journal of Islamic Finance and Management Vol. 6 No. 2 (2026): Islamic Finance and Management
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/mjifm.v6i2.1204

Abstract

This study aims to analyze the determinants of oil palm farmers' income in Suka Makmur Village, Gunung Meriah District, Aceh Singkil Regency. The independent variables are land area, production, Fresh Fruit Bunch (FFB) selling price, agricultural technology, and capital, while the dependent variable is farmers' income. A quantitative approach was used, with data collected through observation, interviews, and questionnaires distributed to 107 farmers using a saturated sampling technique. Data were analyzed using multiple linear regression with SPSS. The results show that production, FFB selling price, and agricultural technology partially have a positive and significant effect on income, capital has a negative and significant effect, while land area has no significant effect. Simultaneously, all variables significantly affect income, with an Adjusted R² of 0.990. It is recommended that farmers improve farm productivity and that local government provide extension services and better access to price information.