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The Role of Fruit Waste-Based Briquette Sales in Enhancing Income and Community Welfare in Babussalam Village Perdana, M Alkadri; Custer, Johny; Am, Andri Nofiar; Nasution, Lukman Hakim; Triyono, Wahyu; Rahayu, Siti
Economic: Journal Economic and Business Vol. 4 No. 4 (2025): ECONOMIC: Journal Economic and Business
Publisher : Lembaga Riset Mutiara Akbar (LARISMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56495/ejeb.v4i4.1342

Abstract

This study analyzes the role of fruit waste briquette sales in increasing income and community welfare in Babussalam Village. Fruit waste, which is usually discarded, can be converted into environmentally friendly briquettes with economic value. The study used a descriptive quantitative approach with a case study, involving 30 respondents consisting of briquette producers and distributors. Data were collected through observation, interviews, and questionnaires, then analyzed using descriptive statistics and simple regression. The results show that briquette sales significantly increased household income by an average of 35% and improved welfare indicators such as education, health, and household consumption. The study concludes that the utilization and commercialization of fruit waste briquettes supports economic improvement in rural communities while simultaneously promoting sustainable environmental management. Further research is recommended to expand market access and integrate digital marketing strategies to increase the competitiveness of environmentally friendly briquette products.
Pelatihan Produksi Energi Ramah Lingkungan Berbasis Limbah Buah-Buahan sebagai Upaya Mewujudkan Desa Mandiri Energi di Desa Babussalam, Rokan Hulu Perdana, M. Alkadri; Custer, Johny; Nofiar. Am, Andri; Hadi, Larbiel
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v5i3.651

Abstract

This community service activity aims to improve the knowledge and skills of residents in Babussalam Village, Rokan Hulu Regency, in processing fruit waste into environmentally friendly energy through simple pyrolysis technology. The activity addresses the abundance of unutilized fruit waste that potentially causes environmental pollution. Conducted on October 30, 2025, with 20 participants from the local community and BUMDes Babussalam, the activity employed participatory methods including socialization, technical training, and ongoing mentoring. Results showed an 85% understanding level of renewable energy, based on pre-test and post-test evaluations improving from 45% to 85%. Participants successfully produced bio-oil and activated charcoal through direct pyrolysis practice using equipment developed from applied research. A village working group was also established under BUMDes Babussalam coordination to develop self-sufficient energy initiatives. The activity proves that integrating applied research, appropriate technology, and community participation creates an effective model for community-based energy empowerment, supporting national energy security and Sustainable Development Goals, particularly Goal 7 on clean energy and Goal 11 on sustainable communities.
Using K-Means Clustering to Analyze Socio-Economic Welfare of Oil Palm Farmers for Decision Support and Contextual Learning Integration Fenty Kurnia Oktorina; Zulfikar; Andri Nofiar Am; Nurkholis; Agung Pramono
Jurnal Penelitian Pendidikan IPA Vol 11 No 4 (2025): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i4.10975

Abstract

This study aims to cluster the welfare levels of oil palm farmers in Gading Sari Village, Tapung, using the K-Means Clustering algorithm. The analyzed variables include land area, family dependents, average monthly income, additional income, and educational attainment. Previous studies have extensively discussed the welfare of oil palm farmers. This research uses clustering methods to uncover new and more detailed findings about the welfare of oil palm farmers in rural areas. This approach offers a fresh perspective and can be utilized to support data-driven decision-making processes by the government. Data were collected through interviews with 111 oil palm farmers, processed through normalization, and analyzed using the elbow method to identify the optimal number of clusters. The results identified three main clusters: low, medium, and high welfare levels. Land area and average monthly income were the most significant differentiating factors among the clusters. This study's fundamental distinction lies in applying the K-Means algorithm to integrate the socioeconomic aspects of oil palm farmers into specific clusters. These clusters will provide new insights into their welfare conditions. The findings are expected to assist governments and stakeholders in designing more effective and targeted development programs for oil palm