Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 1 No 10 (2017): Oktober 2017

Implementasi Metode Fuzzy - AHP Menggunakan Optimasi Particle Swarm Optimization (PSO) untuk Rekomendasi Pemilihan Tanaman Pomologi

Maulana Putra Pambudi (Fakultas Ilmu Komputer, Universitas Brawijaya)
Imam Cholissodin (Fakultas Ilmu Komputer, Universitas Brawijaya)
Candra Dewi (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
10 Jul 2017

Abstract

Pomology (fruit) is one of the most popular commodities in Indonesia. But, in indonesia fruit production rate is not bigger than fruit consumption rate. Lack of fruit production in Indonesia can be caused by various factor. One of the factor is production failure that caused by wrong fruit choice. That factor can happen because lack of farmer knowledge about compatibility between land and fruit. Therefore it takes a program that can used to help farmer check if their land is compatible with one kind of fruit or not. FAHP-PSO is a one of the method that can solve a problem with many determining factor inside it. This method is a combination of 2 previous method. That 2 previous method is Fuzzy-AHP and Particle Swarm Optimization (PSO). Particle Swarm Optimization method will be working to optimize criteria weight ratio that should be generated from AHP. From the test result, Spearman coefficient for comparing rank result in 3 land and 10 fruit is 0.8598. beside that from the classification result we can obtained Spearman coefficient is 0.9659.

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Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...