Abstract:
This study discusses the forecasting of the average price of rice at the level of trade in
Indonesia, where this study uses time series analysis. The method used in this research is
Holt's Double Exponential Smoothing. The results of calculations using the Root Mean
Square Error (RMSE) and Mean Absolute Percentage Error (MAPE) accuracy test
equipment, determined that the Double Exponential Smoothing Holt method has a
relatively small forecasting error with an RMSE value of 118.963 and a MAPE value of
0.86% with MAPE value criteria < 10%. This shows that the accuracy of MAPE is in the
very good category.
