Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 1 No 7 (2017): Juli 2017

Optimasi Komposisi Pakan Untuk Penggemukan Sapi Potong Menggunakan Algoritma Genetika

Muhammad Noor Taufiq (Fakultas Ilmu Komputer, Universitas Brawijaya)
Candra Dewi (Fakultas Ilmu Komputer, Universitas Brawijaya)
Wayan Firdaus Mahmudy (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
02 Jun 2017

Abstract

One of the problems that exist in Indonesia is not share of the number between the demand for beef cattle with the number of local beef cattle production. This caused by the increase in the number of people in Indonesia. It makes Indonesia have large enough dependencies to import cows from abroad to fulfill the need of Indonesian people. This study tries to implement the genetic algorithm to creating a qualified mixed ration at the reasonable cost. This study is expected to be able to increase the number of local beef cattle production to fulfill the need of Indonesian people. The representation used in this study is real code in which each chromosome initialize feed materials which used. The mutation method is the random mutation, and the selection method is elitism. The result of this study found the optimal parameter at 900 population, 800 generation and the combination of cr and mr as many as 0.9 and 0 with the highest fitness is 0,6266. The result obtained in the form of ration composition recommendation at minimal cost as daily based of the nutritional need of beef cattle

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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 ...