Mardiana, Nova and Rr, Erlina and Wijaya, Rahmat Adi (2023) Comparison of Moving Average and Exponential Smoothing Methods in Sales Forecasting of Banana Chips Products in Pd. Dwi Putra Tulang Bawang Barat. Journal of Finance and Business Digital, 2 (2). pp. 193-208. ISSN 2964-8688
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Comparison of Moving Average and Exponential Smoothing Methods in Sales Forecasting of Banana Chips Products in Pd. Dwi Putra Tulang Bawang Barat.pdf Download (1MB) | Preview |
Abstract
Sales forecasts predict a company's sales. PD Dwi Putra's banana chip sales have fluctuated every month for the past few years, resulting in stock shortages and excesses. Forecasting using historical sales data uses time series methods like moving average and exponential smoothing. This study compares the two forecasting methods to find the lowest error rate and the best method for the company to use for the next four years. The exponential smoothing method outperforms the moving average method for MAPE, MSE, and MAD values, so it is used for future forecasting. According to research, companies should use exponential smoothing with parameter α = 0.6 for the next four years because it has the lowest forecasting error rate. Thus, these parameters are used to forecast the next few years.
| Item Type: | Article |
|---|---|
| Subjects: | H Social Sciences > H Social Sciences (General) |
| Divisions: | Fakultas Ekonomi dan Bisnis (FEB) > Prodi Manajemen |
| Depositing User: | DR NOVA MARDIANA |
| Date Deposited: | 27 Jul 2023 07:07 |
| Last Modified: | 27 Jul 2023 07:07 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/52307 |
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