Penerapan Metode Moving Averange dalam Memprediksi Produksi Tomat

Abd Rahmat karim Haba (Universitas Ichsan Gorontalo)

Jurnal Nasional Cosphi
Vol 5, No 1 (2021): Januari-Juli 2021

Based on the development of tomato production in Gorontalo City, the agricultural service data has fluctuated. Thus, it is necessary to have a system in carrying out prediction data mining techniques using the moving average method so that they can know future predictions of tomato production. The purpose of this study is to design a prediction system and to determine the error rate in predicting tomato production using the Moving Average method. The result of the error rate in making predictions is 23.40% by using the MAPE method testing.