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All Journal Jurnal Manajemen Informatika Journal of Information Systems Engineering and Business Intelligence JIEET (Journal of Information Engineering and Educational Technology) Journal of Applied Data Sciences Abdimas: Papua Journal Of Community Service Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Journal of Informatics and Computer Science (JINACS) Journal of Applied Informatics Research
Andi Iwan Nurhidayat
Universitas Negeri Surabaya
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Public Health Social Sciences Other

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Decision Support System For Seed Aid Recipients Using The Combined Compromise Solution Method (Case Study: Among Tani Farmer Group) Anis Putri Purwanti; Andi Iwan Nurhidayat; Dodik Arwin Dermawan; Rosita
Journal of Applied Informatics Research Vol. 2 No. 1 (2026): July
Publisher : Universitas Negeri Surabaya

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Abstract

The distribution of seed assistance in the Among Tani Farmer Group, Magetan, has traditionally relied on manual assessment and subjective judgment, increasing the risk of inconsistent recipient selection. This study develops a web-based Decision Support System (DSS) that applies the Combined Compromise Solution (CoCoSo) method to prioritize 148 farmer candidates based on five evaluation criteria: economic condition, cultivated land area, land readiness, previous aid history, and land tenure status. Primary data were collected through interviews and field observations, then converted into standardized 1–5 ratings using predefined assessment rules established with the farmer group administrators before being processed through the CoCoSo algorithm. The system was implemented using Laravel 12 and MySQL to provide transparent and traceable ranking results. The proposed system generated a complete ranking of all candidates, supporting the prioritization of 100 farmers according to the available assistance quota, while the remaining 48 farmers were categorized as requiring further consideration. Computational verification against an independent Microsoft Excel implementation produced identical Ki values for all 148 alternatives, confirming the correctness of the CoCoSo implementation. Functional testing across 72 black-box test scenarios indicated that all system features operated as intended. In addition, a comparative analysis with the Simple Additive Weighting (SAW) method revealed notable differences in ranking outcomes, particularly among highly ranked alternatives, demonstrating the distinct aggregation characteristics of the CoCoSo method.
Co-Authors Agus Prihanto AMBRIANI, DINNI Anis Putri Purwanti ANITA QOIRIAH Anita Qoiriah Ari Kurniawan ARI KURNIAWAN Asmunin Asmunin Binti Khalifah Dimas Novian Aditia Syahputra Dodik Arwin Dermawan Dwi Fatrianto Suyatno Faris Abdi El hakim Gali Firmansyah I Gde Agung Sri Sidhimantra Iskandar Java, Muhammad M Adamu Islam Mashuri Moch Deny Pratama Rina Harimurti Rochmawati, Naim Rosita Rovita Van Joost, Sisilia SALAMUN ROHMAN NUDIN Salamun Rohman Nudin Nudin Wiyli Yustanti YUNI YAMASARI