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SARIMA WITH SLIDING WINDOW IMPLEMENTATION FOR FORECASTING SEASONAL DEMAND DATA
Demand forecasting is an essential part of business process management. A comparison of methods is needed to get the best model to provide good forecasting results. Difficulties in meeting consumer demands and predicting these requests using demand data at companies CV. ABCD is the main problem in this research. The SARIMA and decomposition methods are used for comparison and search for the best model before forecasting. SARIMA (1,1,1)(1,1,1)12 with a windowing size of 56, indicating the smallest MAPE value of 3,91%. The value
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Detail Information
Series Title |
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Publisher | Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) : Indonesia., 2023 |
Collation |
005
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Language |
English
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ISBN/ISSN |
2089-8673
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Classification |
NONE
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Content Type |
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