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All Journal Warta LPM Trend and Future of Agribusiness
Irawan, Suko
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Social Sciences

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Pengembangan Ekonomi Sirkular untuk Pengelolaan Sampah Organik di Desa Senden, Kabupaten Magelang Antriyandarti, Ernoiz; Barokah, Umi; Rahayu, Wiwit; Wuri Ani, Susi; Marwanti, Sri; Darsono; Ferichani, Minar; Irawan, Suko
Warta LPM WARTA LPM, Vol. 28, No. 1, Maret 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/warta.v27i1.7049

Abstract

Most of the waste produced by rural households is organic waste, which must be disposed of immediately because it rots quickly, emits an unpleasant odor, and can be a source of disease. Implementing a community-based circular economy at the village level can solve the accumulation of organic waste in rural areas. This circular economy model encourages downstream waste processing, thereby generating economic value. A circular economy that delivers significant financial benefits will make waste processing sustainable. Senden Village, located in Mungkid District, Magelang Regency, is one such village that has a local waste collection site (TPS). Its primary issue is the lack of techniques for processing waste, particularly organic waste, into quality products that are useful and have market value. Therefore, this Research Group Service initiative aims to develop the application of a circular economy for managing organic waste by producing organic fertilizers enriched with biological agents. The organic fertilizers produced will be highly quality and competitive in the market, thereby providing an alternative productive economic activity for the people of Senden Village. Organic waste processing into commercial products can be sustainable if it offers financial incentives for the community. This initiative aligns with the Sustainable Development Goals (SDGs), specifically goals 2, 3, and 12.
Integrating land suitability assessment and socioeconomic indicators for Robusta coffee development Irawan, Suko
Trend and Future of Agribusiness Vol. 3 No. 1: (February) 2026
Publisher : Institute for Advanced Social, Science, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/tafoa.v3i1.2026.3125

Abstract

Background: Robusta coffee is a strategic commodity supporting rural livelihoods and the national economy. However, average productivity (≈0.7 t/ha/year) remains far below its potential (2.5–3.0 t/ha/year). This gap reflects not only biophysical land constraints but also socio-economic limitations. An integrated assessment combining land suitability and socio-economic conditions is therefore necessary for sustainable development planning. Methods: This study was conducted from September 2020 to March 2021 using a descriptive-exploratory and survey approach. Soil samples were analyzed in university laboratories, and biophysical conditions were evaluated using Land Suitability Classification (LSC) through a matching method based on crop requirements. Socio-economic conditions were measured using a Socio-Economic Index (SEI) calculated through min–max normalization (0–1 scale) with equal indicator weighting. LSC and SEI were integrated to assess development potential and readiness. Findings: All study sites were classified as S3 (marginally suitable), limited by low organic carbon, poor drainage, and shallow soil depth. SEI values ranged from 0.15 to 0.63, indicating varying socio-economic readiness across villages. The integrated analysis shows that development feasibility depends not only on land characteristics but also on farmers’ socio-economic capacity, influencing the sustainability and productivity of Robusta cultivation. Conclusion: Integrating LSC and SEI provides a comprehensive framework for evaluating regional development potential. Sustainable Robusta expansion requires addressing both land limitations and socio-economic empowerment to reduce the productivity gap. Novelty/Originality of this Article: This study proposes a multidimensional LSC–SEI framework that bridges biophysical and socio-economic dimensions, offering a strategic decision-support model for sustainable agricultural planning.
Co-Authors DARSONO Ernoiz Antriyandarti Minar Ferichani sri marwanti Susi Wuri Ani umi barokah Wiwit Rahayu