Artificial Neural Network Model Application for Validating and Predicting Ruminant Population in East Java, Indonesia

Abstract

The aim of this study was to develop a model that could estimate the population of ruminants (beef cattle, goats, and sheep) in East Java with high accuracy. Secondary data on ruminant livestock populations in 31 regencies in East Java Province were acquired from the Central Bureau of Statistics of East Java between 2009 and 2020. Modeling backpropagation neural networks and feedforward learning processes with architectural models for beef cow population 11-3-1, goat population 11-3-1, and sheep population 11-5-1 are used to predict the population of ruminants in East Java. This architecture has a precision of more than 90%. The prediction RSquared (R2) for the beef cattle population is 0.997, the goat population is 0.998, and the sheep population is 0.975.