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All Journal Jurnal Simantec SemanTIK : Teknik Informasi Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat JMM (Jurnal Masyarakat Mandiri) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Nasional Komputasi dan Teknologi Informasi Zonasi: Jurnal Sistem Informasi Jurnal Abdi Insani JIKA (Jurnal Informatika) Jurnal Pengabdian kepada Masyarakat Nusantara Journal Of Information And Technology Unimor (JITU) Digital Transformation Technology (Digitech) Journal of Research Applications in Community Services Jurnal Umum Pengabdian Masyarakat (JUPEMAS) Journal Of Artificial Intelligence And Software Engineering Journal of Mathematics, Computation and Statistics (JMATHCOS)
Gelu, Leonard Peter
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Decision support system for selecting the best pesticide to eradicate pests on bean plants applying the Multi Attribute Utility Theory (MAUT) Approach Ili Sama, Meliana; Kelen, Yoseph Pius Kurniawan; Gelu, Leonard Peter; S. Manek, Siprianus
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29954

Abstract

The selection of the right pesticide is very important in pest control efforts on bean plants to maximize yields and maintain crop quality. Often, farmers face a mismatch between expectations and reality related to the products they use. The market offers a wide range of pesticide products, each claiming to have certain advantages. Mismatches in pesticide selection can affect the yields obtained by farmers. This study aims to provide insight to farmers in choosing the best pesticide to control pests on bean plants. this study relies based on the Multi Attribute Utility Theory (MAUT) method as a means to weigh various options based on various aspects in a structured manner. to assess each criterion from various alternatives and provide a ranking of the best pesticide recommendations. The criteria considered include price, how it works, shelf life, number of pests, and its impact on bean plants. The application developed uses the PHP and MySQL programming languages. Based on the results of the study, the alternative pesticide Spinosad obtained the highest score of 0.85, making it the best recommendation.Keywords: Pesticide selection, Decision Support System (DSS), MAUT
Co-Authors Baso, Budiman Benu, Luky Wandika Bone, Leonardus Ceunfin, Syprianus Chrisinta, Debora Dian Grace Ludji Erlina, Nia Feka, Wolfhardus Vinansius Fetronela Rambu Bobu Fredirikus Timo Ida Bagus Putu Mardana Ili Sama, Meliana Kadha, Faustinus Kehik, Maria Cristalina M.D. Kelen, Yoseph Keraf, Fransiskus Markus Pareto Klau, Anggelina Delviana Kolloh, Renaldi Yulvengki Kolo, Adriana Kolo, Klaudia Selina Lestari, Anastasia Kadek Dety LUDGARDIS LEDHENG Made Santo Gitakarma Maneno, Regolinda Matoneng, Ody Wolfrit Melkisedik Bukifan Nababan, Darsono Nenat, Agustinus Ardiyanto Neonbeni, Eduardus Yosef Ni Wayan Sukerti Oktovianus Tabenu Pakaenoni, Lusilia Dos Santos Pareto Keraf, Fransiskus Markus Risald Risald S. Manek, Siprianus Simarmata, Justin Eduardo Suni, Guido Adolfus Susu, Yublina Rambuhana Tea, Marselina Theresia Djue Toinjaas, Maria Krisanti Ullu, Hevi Herlina Yakobus Pffeferius Edvend Saba Agu Yoseph Pius Kurniawan Kelen