Optimasi Pemenuhan Kebutuhan Nutrisi Ternak Unggas melalui Formulasi Ransum Menggunakan Algoritme Genetika

Abstract

Poultry’s nutrition is required in order to grow healthy poultry that can yield good quality products. The high contribution of cost feed cause to make a feed formula that not only fulfill poultry’s nutrition requirement, but also a feed formula with minimum cost. The purpose of this research is to develop a system that can compose a required feed formula with minimum cost using Genetic Algorithms. The results show that the percentage of poultry’s nutrition is fulfilled optimally when the population size 80, chromosome size 6, crossover rate 0.7, mutation rate 0.0125, and maximum generation 200. The results also show that to fulfill poultry’s nutrition requirement optimally in 1 kg feed formula, a feed formula contain at least 3 types of feed.