Optimasi Pakan Kuda Dewasa Menggunakan Algoritme Genetika

Andrianto, Rheza Raditya (2018) Optimasi Pakan Kuda Dewasa Menggunakan Algoritme Genetika. Sarjana thesis, Universitas Brawijaya.

Abstract

Indonesia merupakan negara yang memiliki keberagaman populasi ternak diantaranya sapi, kambing, domba, dan kuda. Seiring dengan perkembangan zaman yang semakin modern membuat populasi kuda sendiri mengalami penurunan karena pudarnya peranan kuda dalam berbagai hal serta pemberian pakan yang tidak sesuai dengan standar nutrisi. Pada penelitian ini mengimplementasikan algoritme genetika untuk mendapatkan komposisi pakan dengan biaya yang terjangkau namun standar nutrisi yang diperlukan tetap terpenuhi sehingga mampu menjaga kesehatan dan kestabilan kuda guna kelancaran berkembang biak. Representasi yang digunakan pada penelitian ini adalah real code dimana setiap kromosom menginisialisasi bahan pakan yang digunakan. Metode crossover yang digunakan yaitu extended intermediate. Metode mutasi yang digunakan yaitu reciprocal exchange mutation, dan metode seleksi menggunakan metode elitism selection. Berdasarkan hasil pengujian yang telah dilakukan, didapatkan parameter optimal yaitu pada populasi 70, generasi 250 serta kombinasi crossover rate dan mutation rate sebesar 0,5 dan 0,5 dengan fitness sebesar 0,18887407184772886. Hasil akhir yang didapatkan berupa komposisi pakan dengan harga yang minimal berdasarkan kebutuhan nutrisi kuda dewasa.

English Abstract

Indonesia is a country that has a diversity of livestock population such as cows, goats, sheep, and horses. Over time followed by the modern era, the horse population decreased because of the role of horses in various ways and nonfulfillment of nutrition by the horses feed. In this study tries to implement genetic algorithm to get the composition of feed at a minimal cost but the required nutritional standards remain met so as to maintain the health and stability of the horse breed. The representation used in this study is a real code in which each chromosome initializes the feed ingredients used. The crossover method used is the extended intermediate. The mutation method used is reciprocal exchange mutation, and selection method used is elitism selection. Based on the results of this study, obtained the optimal parameters at 70 population, 250 generation and combination of crossover rate and mutation rate as 0.5 and 0.5 with the highest fitness 0.18887407184772886. The result obtained in the form of feed composition with a minimum cost based on the nutritional needs of adult horses.

Item Type: Thesis (Sarjana)
Identification Number: SKR/FTIK/2018/97/051801019
Uncontrolled Keywords: Algoritme genetika, kuda, komposisi pakan Genetic algorithm, horse, feed composition
Subjects: 600 Technology (Applied sciences) > 636 Animal husbandry > 636.08 Specific topics in animal husbandry > 636.085 Feeds and applied nutrition > 636.085 2 Applied nutrition
Divisions: Fakultas Ilmu Komputer > Teknik Informatika
Depositing User: Budi Wahyono Wahyono
Date Deposited: 28 Feb 2019 02:43
Last Modified: 16 Oct 2021 03:10
URI: http://repository.ub.ac.id/id/eprint/13518
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