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Faktor-Faktor Yang Memengaruhi Pendapatan Usahatani Karet Di Kecamatan Lubai Harianto, Harianto; Pambudy, Rachmat; Siahaan, Yosua Partahian
Forum Agribisnis Vol. 15 No. 1 (2025): FA VOL 15 NO 1 MARET 2025
Publisher : Magister Science of Agribusiness, Department of Agribusiness, FEM-IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/fagb.15.1.90-102

Abstract

Muara Enim Regency is one of the largest rubber producing districts in South Province, but is currently experiencing a significant decline in the amount of rubber land due to land conversion issues. This land conversion is mainly caused by rubber farming income that does not provide adequate economic benefits to meet the needs of farmers. The research objectives were to 1) Analyze rubber farm income 2) Analyze the factors that influence rubber farming income. This study used 112 rubber farmer respondents, with a population of 543 rubber farmers Lubai District. The location was chosen purposely based on the same considerations, namely the sub-district and village that produced the largest decline in the number of rubber land areas and produced the largest rubber production. Data collected in cross section. Analysis of rubber farm income using R/C ratio analysis. Analysis of factors affecting rubber farming income using Weighted Least Square. The results showed that income in the productive plant age group (10.1-15 years) was the greatest compared to other plant age groups. The overall R/C ratio on cash costs and on total costs in all plant groups showed good results with an R/C ratio > 1. Factors that positively affect rubber farm income in Lubai Subdistrict are average production, rubber prices, and land area while factors that negatively affect farm income are labor.
Hubungan Aspek Sosial Ekonomi dengan Persepsi Petani terhadap Usahatani Karet di Kecamatan Lubai Siahaan, Yosua Partahian; Harianto, Harianto; Pambudy, Rachmat
AGRICA Vol. 17 No. 2 (2024): December
Publisher : Agriculture Faculty of Flores University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/agr.v17i2.5042

Abstract

Many rubber farmers even consider converting their land to other commodities that are considered more profitable or more stable. Farmers' decisions to convert land are often due to problems with economic, technical, and environmental aspects. Rubber farming faces various challenges that cause shifts in farmers' perceptions of the sustainability of this commodity. The objectives of this study were to 1) Analyze farmers' perceptions of rubber farming and 2) Analyze the relationship between socio-economic aspects of farmers' perceptions of rubber farming. This study used 112 rubber farmer respondents, with a population of 543 rubber farmers in the Lubai District. The location was selected purposely based on the same considerations, namely sub-districts, and villages that produced the largest decline in the amount of rubber land area and produced the largest rubber production. Data were collected in a cross-section. Farmers' perceptions of rubber farming based on economic, technical, and environmental aspects are fairly good, with an average score of 2.70. The economic aspect is the most influential aspect on farmers' perceptions of rubber farming activities with an average score of 2.21. The socioeconomic aspect that has a significant relationship to the perception of rubber farming is the level of education with a correlation coefficient value of 0.274913 which indicates a weak level of closeness.
Plantation-driven deforestation and ecosystem degradation: Assessing the efficacy of environmental governance in tropical forest landscapes Siahaan, Yosua Partahian
Jurnal Bisnis Kehutanan dan Lingkungan Vol. 3 No. 2: January (2026)
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/jbkl.v3i2.2026.3146

Abstract

Background: Plantation expansion has emerged as a major catalyst of land-use transformation across tropical regions, including Bulungan Regency, North Kalimantan, where extensive deforestation and ecosystem degradation have occurred over the last two decades. This research investigates the interlinkages between plantation growth, deforestation, and environmental decline to construct a holistic understanding of ecological changes in plantation-dominated landscapes. While prior research indicates that uncontrolled development of oil palm and rubber plantations has driven deforestation, biodiversity loss, and greenhouse gas (GHG) emissions, spatially detailed assessments at the regional level remain scarce. Method: Employing a descriptive–quantitative approach, this study utilizes secondary spatial and temporal datasets from Global Forest Watch and the Central Bureau of Statistics (2001–2024) to evaluate changes in forest cover, tree loss caused by fire, and GHG emission trends. Finding: Integrated spatial-statistical analyses reveal that Regency has lost approximately 197,000 hectares of primary moist forest (19% of its total), with about 69% of tree cover loss driven by permanent land-use conversion linked to plantation expansion. Fires contributed 6.8% of total tree loss and were spatially associated with recently established plantations. GHG emissions peaked at 19.8 MtCO₂e in 2012, aligning with a period of intensive deforestation, but declined to 5.52 MtCO₂e in 2024 due to enhanced environmental governance. Conclusion: The findings indicate that plantation-induced land conversion alters hydrological processes, reduces atmospheric humidity, and accelerates carbon emissions, forming a feedback loop that amplifies regional climate effects. This study contributes an integrated spatial perspective on plantation-driven deforestation and its ecological implications, offering new insights for sustainable land-use management in tropical regions. Novelty/Originality of this article: This study provides a long-term (24-year) spatio-temporal analysis that specifically identifies the "feedback loop" between plantation-driven deforestation, localized fire susceptibility, and GHG emission fluctuations.