Critical Information Design for House Broilers Used by Artificial Neural Network

Abstract

Meat is one source of protein for humans. Meat became an important commodity in nutritional needs. One of flesh as a source of animal protein is chicken. Chicken is a common poultry reared people to be exploited as a source of livelihood. In the development of broiler chicken breeding experience of technology development, among others in the field of maintenance, feeding, vaccination, human resources management, and enclosure design. Success in building the productivity of broiler chickens, there are three that must be considered is the management, breeding, feeding. Many studies carried out must have characteristics that healthy broiler growth undisturbed by external influences, diet drink. The purpose of this study namely: the first, knowing information about the management (of temperature), feeding (total protein, breeding (weight ) on house broiler from starter to finisher by using artificial neural network. The second, Analyze the relationship of temperature with age of broiler , the amount of protein with age, weight with age brolier by using artificial neural network. Model analysis was performed Artificial Intelegent used by Artificial Neural Network. In the resulting management temperature 180C-320C. Breeding of broiler chicks to be healthy, breeding originating from the superior, more or less weight size 2-3 kg. Feeding quality or protein content of feed consisting of 18- 24%.Conculation; the first By using the ANN can know information about the management (of temperature), feeding (number of proteins, breeding (weight broiler) from starter to finisher, the second By using the ANN showed good validation coefficient of determination R = 1 at temperatures, protein, weight of broilers.