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Muhamad Rendra Husein Roisdiansyah
Fakultas Ilmu Komputer, Universitas Brawijaya
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

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Sistem Pendukung Keputusan Untuk Pemilihan Penanaman Varietas Unggul Padi Menggunakan Metode AHP dan TOPSIS Muhamad Rendra Husein Roisdiansyah; Agus Wahyu Widodo; Nurul Hidayat
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 1 No 10 (2017): Oktober 2017
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

According to the data from Indonesian Center for Rice Research, until today there is already 48 varieties of inpari, 19 varieties of hipa, 11 varieties of inpago, and 9 varieties if inpara that has been relased and there is a possibility that this ammount will increase each year. This amount does not include the high yielding varieties that are still cultivated to date such as ciherang, IR 64, Cibogo, IPB 3S, and others. The excessive ammount of varieties of rice crops along with their own criteria can cause problems, how do farmers choose the right varieties to maintain their crops maximally.There is a solution for this problem that is using a Decision Support System (DSS). In this research, the system is created by combining 2 DSS methods, that is Analytic Hierachy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Those methods was chosen because it is considered to produce a more accurate decisions and more objective than using one method alone. The AHP method will generate the weight of criteria that can also be used in the weighting process in the TOPSIS method. The Input from the system created is divided into 2. In the AHP using pairwise comparison table data from the criteria of superior varieties, the TOPSIS method uses data description of varieties that become the alternatives. The results of the system made shown as a ranking of alternatives from best to worst. System testing is done by matching the results of the system with the results of the experts, based on testing conducted, obtained the results of accuracy at 83.33%.
Co-Authors Agus Wahyu Widodo Nurul Hidayat