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All Journal Bulletin of Computer Science Research Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi)
Novi Wahyuningtias
Universitas Bahaudin Mudhary Madura, Sumenep
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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THE OPTIMIZATION STRATEGY OF FISHERY WASTE IN SUMENEP REGENCY AS A VALUE-ADDED PRODUCT BASED ON THE CIRCULAR ECONOMY Alvin Arifin; Moh. Sofwan Kastir Al Aziz; Liahmad Liahmad; Novi Wahyuningtias; Naila Tsawaba
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 3 (2025): Edisi September - Desember 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i3.6467

Abstract

The fisheries sector in Sumenep Regency plays a vital role in food security and the local economy, but generates substantial waste, including fish heads, bones, viscera, and skins. Most of these residues are discarded into the sea or landfills, creating environmental burdens and economic losses. This study aims to formulate a strategy for optimizing fishery waste based on circular economy principles using a sequential explanatory mixed-methods approach. The quantitative phase employed multiple linear regression to examine the effects of business duration, technology, and average catch on waste utilization. Results indicate that technology significantly influences utilization (p < 0.01), whereas business duration and catch volume are not significant. The qualitative phase, involving in-depth interviews and focus group discussions, reinforced these findings by revealing that limited access to simple processing technologies, weak market linkages, and inadequate regulations remain the main obstacles. Nevertheless, respondents recognized the potential of fish waste to be converted into organic fertilizer, animal feed, fish oil, and collagen. This study concludes that appropriate technology, market access, and regulatory as well as multi-stakeholder collaboration are crucial for implementing a circular economy model in Sumenep’s fisheries sector. The practical implication suggests strengthening community capacity and policy support to advance sustainable fishery waste valorization.
Implementation of the Analytical Hierarchy Process (AHP) with AI-Assisted Validation for Waste Processing Method Selection Agung Firdausi Ahsan; Tri Dewi Sugiharti; Novi Wahyuningtias
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.1227

Abstract

The increasing volume of municipal solid waste in Sumenep Regency has created significant challenges for local authorities in selecting an effective and sustainable waste treatment method. The selection process requires consideration of multiple criteria, including economic, technical, environmental, social, labor, and material recovery aspects. Therefore, this study aims to determine the most suitable waste processing method by applying the Analytical Hierarchy Process (AHP) as the primary decision-making approach and an AI-assisted validation approach as a comparative evaluation tool. The AHP method was used to calculate the relative importance of criteria and rank three waste treatment alternatives, namely Composting, Sanitary Landfill, and Incineration, based on expert judgments. To strengthen the reliability of the decision-making process, an AI-assisted evaluation using a Large Language Model (LLM) was conducted to assess the same alternatives according to the established criteria and compare the resulting rankings with those obtained from AHP. The results of the AHP analysis indicate that Composting has the highest priority weight of 48.0%, followed by Sanitary Landfill with 33.5% and Incineration with 18.5%. Similarly, the AI-assisted evaluation generated the highest score for Composting (0.9835), followed by Sanitary Landfill (0.6130) and Incineration (0.6025). The consistency between the rankings produced by AHP and the AI-assisted assessment demonstrates the robustness of the selected alternative. The findings suggest that Composting is the most appropriate waste treatment method for Sumenep Regency due to its superior environmental performance, social acceptance, and material recovery potential. Furthermore, the study highlights the potential of AI-assisted evaluation as a supporting validation tool for enhancing multi-criteria decision-making in waste management planning.
Co-Authors Agung Firdausi Ahsan Alvin Arifin Liahmad Liahmad Moh Sofwan Kastir Al Aziz Naila Tsawaba Tri Dewi Sugiharti