MODEL GROUP DECISION SUPPORT SYSTEM DENGAN MULTI-RESPONDEN DAN MULTI-ATRIBUT DALAM REKOMENDASI BENIH PADI TERBAIK
DOI:
https://doi.org/10.54314/jssr.v8i4.4245Abstract
Abstract: As a result, farmers often face various problems such as less than optimal yields due to low grain weight (tonnage) and quality, increased maintenance costs, longer harvest periods, and even the risk of crop failure. The urgency of this research lies in the challenges faced by farmers in Asahan Regency in determining appropriate and superior rice seed varieties. Reliance on trial and error methods in seed selection results in less than optimal harvest results. Based on the above problems, this study aims to develop a decision support model to determine superior rice seed varieties to increase yields. The method used in solving the problem is the Group Decision Support System (GDSS) with a decision support method using Multi-Respondent and Multi-Method. The multi-respondent concept allows collaboration between experts, practitioners, and farmers, and the multi-method concept allows data to be analyzed using various techniques, namely WP, MOORA, MAUT, and Borda.
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Keywords: Group Decision Support System; Multi-Method; Multi-Respondent; Borda; Rice Seeds
Abstrak: Akibatnya, seringkali petani menghadapi berbagai masalah seperti hasil panen yang kurang maksimal karena rendahnya bobot (tonase) dan kualitas butir beras, meningkatnya biaya perawatan, masa panen yang lebih lama, dan bahkan risiko gagal panen. Urgensi penelitian ini terletak pada tantangan yang dihadapi oleh petani di Kabupaten Asahan dalam menentukan varietas benih padi yang tepat dan unggul. Ketergantungan pada metode coba-coba dalam pemilihan benih menyebabkan hasil panen yang kurang optimal. Berdasarkan masalah di atas, penelitian ini bertujuan mebangun model pendukung keputusan untuk menentukan varietas benih padi unggul guna meningkatkan hasil panen. Metode yang digunakan dalam penyelesaian masalah yaitu Group Decision Support System (GDSS) dengan metode pendukung keputusan menggunakan Multi Responden dan Multi Metode. Konsep multi responden memungkinkan kolaborasi dari ahli, praktisi dan petani dan konsep multi metode Multi metode meungkinkan data dianalisis dengan beragam teknik yaitu WP, MOORA dan MAUT dan Borda.
Kata kunci: Group Decision Support_System;Multi Metode;Multi Responden;Borda; Benih Padi
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