Penerapan Metode Single Moving Average untuk Prediksi Persediaan Voucher Kuota Berbasis Web

Abstract

Manual management of internet voucher inventory may cause recording errors and difficulties in determining stock quantities. This study aims to develop a web-based inventory information system using the Single Moving Average method to assist in forecasting inventory requirements. The research employed a quantitative approach with data collected through observation, interviews, and documentation. The forecasting process was performed using Single Moving Average with 2-period, 3-period, and 4-period windows, and the forecasting accuracy was evaluated using the Mean Absolute Percentage Error (MAPE). The results showed that the 2-period Single Moving Average achieved the best forecasting performance with an average MAPE of 12.29%, outperforming the 3-period model with 13.57% and the 4-period model with 14.06%. The developed system was able to improve inventory management and automate stock forecasting more effectively. Therefore, the implementation of the Single Moving Average method in the inventory information system can support more accurate inventory procurement decisions.