Peramalan Penjualan Barang Single Variant Menggunakan Metode ARIMA, Trend Analysis dan Single Exponential Smoothing


 The availability of goods in a store is very important. Forecasting tool that used to help predict data needed by an organization or company. purpose this study the sale product has high risk damage and fast expiration time using existing techniques forecasting. can also be make stock safety at XYZ Supermarket. results are form forecasting methods adjusted sales one product. method ARIMA method, Trend Analysis, Single Exponential Smoothing. Analysis Method highest accuracy with MAPE 9.91%, which means good, compared 37.21% Smoothing 10%. So will for decision-making process about stockpiles future.