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Sistem Pendukung Keputusan dengan Aplikasi
Article . 2024 . Peer-reviewed
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Penerapan Metode ROC, MAUT, dan MOORA dalam Sistem Pendukung Keputusan untuk Menentukan Benih Jagung Unggul

Authors: Melva Aliyah Royani Siahaan; Muhammad Eka;

Penerapan Metode ROC, MAUT, dan MOORA dalam Sistem Pendukung Keputusan untuk Menentukan Benih Jagung Unggul

Abstract

Penelitian ini bertujuan untuk menyoroti pentingnya penentuan benih jagung unggul untuk hasil yang optimal. Fokus utama penelitian ini adalah menetapkan kriteria benih jagung unggul dengan spesifikasi umur benih 120 hari, kadar air 15-20%, tanaman bersih, populasi klobot kering minimal 85%, dan uji daya tumbuh 95%. Berdasarkan kriteria ini, "Benih Jagung A" diakui sebagai benih jagung unggul. Petani sering mengalami kesulitan dalam menentukan kriteria benih jagung, yang berdampak pada komposisi kimia dan hasil panen.Untuk mengatasi masalah ini, penelitian ini menerapkan Sistem Pendukung Keputusan (SPK) menggunakan metode Multi-Attribute Utility Theory (MAUT), Multi-Objective Optimization by Ratio Analysis (MOORA), dan pembobotan Rank Order Centroid (ROC). SPK terkomputerisasi digunakan untuk menganalisis data, menghitung kriteria, dan mengubah data menjadi informasi yang mendukung pengambilan keputusan petani. Hasil penelitian menunjukkan bahwa metode MAUT, MOORA, dan pembobotan ROC secara efektif membantu dalam menentukan benih jagung unggul, dengan "Benih Jagung A" sebagai pilihan terbaik berdasarkan kriteria yang ditetapkan. Temuan ini memberikan kontribusi signifikan terhadap pengembangan ilmu pengetahuan dan solusi ilmiah untuk mendukung pengambilan keputusan yang optimal dalam sektor pertanian. Pendekatan yang digunakan dalam penelitian ini diharapkan dapat diterapkan secara luas dalam pengambilan keputusan di sektor pertanian untuk meningkatkan kualitas benih dan hasil panen.

Keywords

moora, roc, maut, Information technology, sistem pendukung keputusan, T58.5-58.64

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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