Penerapan Moving Average Pada Prediksi Penjualan Accu

The problem faced by TIO ACCU is the difficulty of providing stock according to consumer needed, it caused every month has difference sale product. purpose this research create a battery sales prediction system using Moving Average method. algorithm used for past data doesn’t seasonal trends or elements. This method applied predict number in future periods. results from 5 periods and validity test with 31 MAD 3.90, MSE 20.09, MAPE 7.72%. Meanwhile, calculation 7 29 3.70, 18.90, 7.28%. have run well optimally accuracy rate 92.28% 5-period predictions 92.72% 7-period can be classified as very good criteria, because an error less than 10%.