Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 5 (2018): Mei 2018

Optimasi Fuzzy Time Series Untuk Peramalan Kebutuhan Hidup Layak Kota Kediri Dengan Menggunakan Algoritme Genetika

Tahajuda Mandariansah (Fakultas Ilmu Komputer , Universitas Brawijaya)
Budi Darma Setiawan (Fakultas Ilmu Komputer , Universitas Brawijaya)
Randy Cahya Wihandika (Fakultas Ilmu Komputer , Universitas Brawijaya)



Article Info

Publish Date
30 Aug 2017

Abstract

Proper living needs (KHL) is a standard requirement for a worker or single person physically can live well for the needs of one month, the value of KHL is one of the five minimum wage determinataion factors. The value of KHL is determined based on survey value from january to september, while in determining regional minimum wage (UMR) shall be done no later than 60 days or two months before january 1st of the following year. Therefore it's necessary to forecast the value of KHL. This forecasting is helpful for the goverment in the process of determining UMR. In forecasting using fuzzy time series method optimized with genetic algorithm. The optimization is done on the interval value in the fuzzy time series method to get good accuracy in forecasting. Based on the results of tests on value of KHL Kediri from 2009 to 2015, using the parameter of the interval number 7, using the combination of Cr 0.9 and Mr 0.5, the population number 1050, and the number of generations 100 using the average forecasting error rate (AFER) has obtained an error value of 4.7211%

Copyrights © 2018






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 ...