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All Journal Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Mantik INFOKUM Jurnal Info Sains : Informatika dan Sains Jurnal Minfo Polgan (JMP) Journal of Science Technology (JoSTec) Journal of Technology and Computer (JOTECHCOM)
Chairul Imam
Department Of Information Technology, Department Of Informatics Universitas Battuta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Social Sciences

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Journal : Jurnal Info Sains : Informatika dan Sains

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Decision Support System For The Specification Of The Best Quality Corn Kernels With Multi Attribute Utility Theory Method Chairul Imam
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition January - March 2024
Publisher : SEAN Institute

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Abstract

Farmers sell corn kernels to the company PT Charoen Pokphan Indonesia Tbk Medan, the corn kernels are used for a mixture of feed raw materials in order to fulfill the protein and nutritional value of the feed to be of quality. The company PT Charoen Pokphan Indonesia Tbk Medan buys corn seeds to farmers with the best quality corn seed specifications, so that they know the total price of the corn seeds according to the quality needed. This research determines the criteria for the best quality corn kernels and how to apply the Multi Attribute Utlity Theory Method to the decision support system to determine the quality of these corn kernels, to be able to help the company PT charoen pokphan indonesia tbk Medan in determining the quality of corn kernels. Based on the criteria that have been set at the company PT Charoen Pokphan Indonesia Tbk Medan to get the best quality corn seed value using grade 1 to grade 4 and ranking. The result of testing these methods is that a decision is made on an alternative with a total value of 86.7%. So this method is needed to evaluate the determination of the best quality corn kernel specifications so as to produce the best decision
Co-Authors Baginda Harahap Fahmi Ruziq Ine Stye Muhammad Furqon Siregar Muhammad Furqon Siregar Nasution, Auliana Rahmad Fadli Sekar AyuPratiwi Subhan Hafiz Nanda Ginting