APPLICATION OF THE FUZZY TIME SERIES MODEL IN CLOTHING MATERIAL STOCK FORECASTING

The application of fuzzy time series is used to view the stock clothing materials. As for problem so far, CV Duta Express does not have a model seeing complete materials in warehouse, process optimal. This will an impact on orders that come at same and large quantities. avoid shortages, which resulted company experiencing losses. purpose this study make it easier predict be able analyze every management with model. variables are needs, amount school clothes, batik pants. research methodology data collection consists product type from 2018–2021 Aceh Utara. Data analysis needs consist pants, clothes. Next, determines actual what forecast sales January end December. For value 1108 A2 fuzzification value, 172 A4 894 pants A1 then universe set U = [26, 323]. forming linguistic based length interval U3 [111,153], U4 [153,196], U5 [196,238]. result historical A4, 133 A3. formation Fuzzy Logic Relationship (FLR) values period 1/7/2021 1/13/2021 obtained range A4=174 A3=125 each related. results forecasting testing December 2021 196 stocks clothes must optimized following month. test see if error using AFER 0.4511% while RMSE has 5.0199. After being calculated month, average 0.50154 % 9.86518.. Keywords : Forecasting, Time Series,