DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLNE-11362

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-6, Issue-3  ( Mar, 2018 )
Paper Title
Artificial Neural Network for Chicken Growth Anomaly Detection
Author Name
Hindriyanto Dwi Purnomo, Ramos Somya, Charitas Fibirani
Affilition
Dept. of Information Technology, Univeritas Kristen Satya Wacana Salatiga, Indonesia Dept. of Information System, Univeritas Kristen Satya Wacana Salatiga, Indonesia
Pages
26-29
Abstract
Many broiler farming industry in Indonesia implement partnership schema. The schema should be accompanied by good monitoring system. Fast detection of chicken growth anomaly is needed. A model of artificial neural network is proposed to detect the anomalies of chicken growth. The model is based on the record of mortality number and feed conversion ratio from three consecutive days. The performa of the model is assessed using data from 10 periods of chicken growth. The experiment result reveals that the model is promising to detech the anomaly of chicken growth. Keywords - Chicken growth, anomaly detection, artificial neural network, feed conversion ratio, mortality number
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