The Use of Artificial Neural Networks for the Prediction of Cattle Models

anjar setiawan (Universitas Pamulang)
andi romansyah (Universitas Pamulang)

InComTech: Jurnal Telekomunikasi dan Komputer
Vol. 16 No. 2 (2026)

This research focuses on using an ANN algorithm to predict cow weight, which can lead to improved results with a decreased RMSE. The cattle farming business could enhance the efficiency of beef production. The timely slaughter of cattle and the dissemination of technological knowledge about livestock activities are crucial for developing more accurate weight predictions.  Therefore, we must enhance cattle weight forecasts to make them more precise and reliable. This is achieved by employing the ANN technique, which is capable of simulating non-linear and interactive relationships between variables.  The ANN method worked best in the experiment that tried to guess the weight of cows. It had an MSE of 0.019 kg, an RMSE of 0.14 kg, and an R-squared value of 0.99.  This innovation has the potential to make cow farming more environmentally friendly and efficient, which would lead to less wasteful meat production.