FORECASTING WITH WEIGHTED MOVING AVERAGE METHOD FOR PRODUCT PROCUREMENT STOCK

ABSTRACTDhanty Store is a family start-up located in East Jakarta. It was initiated 2018, engaged retail with the main product form of women's clothing and accessories. One important processes Dhanty operations procurement process. Currently, request products according to their wishes without looking at sales data. This causes stock not well controlled. When there lot demand, sometimes Shops run out so customers will move other stores. In addition, process requesting procuring suppliers also takes long time that it can further disrupt Store. study develops forecasting application prototype Weighted Moving Average method assist products. Forecasting results period (t) 1st week January were 275 this predicts 4-week moving average MAD tracking signal value ranged from -1.51 3.86 MAPE 35.4%. As for reliability level user acceptance model study, tested using System Usability Scale (SUS) known given by respondents 82 details 0% considered inappropriate, 40% neutral 60% rated need. Keywords: data mining, forecasting, weighted average, MAD, MAPE, SUS