PERAMALAN STOK SEPATU BEKAS PADA TOKO MZM SECOND BRANDED KOTA TANJUNGBALAI DENGAN METODE SMA

This study aims how to apply a forecasting system in determining the stock of used shoes at MZM Second Branded Tanjungbalai City. Forecasting the stock of goods is a possible approach based on estimates that will occur in the future and determine how many second-hand shoe shops MZM Second Branded Tanjungbalai City is stocking goods to be sold.
Forecasting stock of goods can be done in various ways and forecasting methods. One of the methods used in this research is the Single Moving Average (SMA) method on the forecasting system in determining the stock of used shoes using the PHP and MySQL programming languages. The single Moving Average (SMA) method is a method that gives different weights to each available history, assuming that the most recent or recent historical data will have a greater weight than the old historical data because the most recent or recent data is the most relevant data for forecasting. Another advantage of this method is that the weight value can be adjusted. By taking Nike shoe sales data from August 2021 to July 2022 and using the June and July periods which will be used as calculation data for the SMA method, calculating the error from the results using the MAD method prediction. MAD (Mean AbsoluteDeviation), MSE (Mean Square Error), and MAPE (mean absolute percentage error), the final results are obtained after going through the calculation and calculation process. The results of this study were obtained for the August 2022 period having good accuracy. Namely MAD of 26.5, MSE of 102.25, MAPE of 0.62, and with the results forecasting 43 pcs of Nike shoe sales in August 2022.