Comparison of Exponential Moving Average and Brown's Double Exponential Smoothing Method for Forecasting Glass Craft Sales


Perbandingan Metode Exponential Moving Average dan Brown’s Double Exponential Smoothing untuk Peramalan Penjualan Kerajinan Kaca


  • (1) * Ruli Utami            Institut Teknologi Adhi Tama Surabaya  
            Indonesia

  • (2)  Kelvin Dwi Pratama            Institut Teknologi Adhi Tama Surabaya  
            Indonesia

  • (3)  Suryo Atmojo            Universitas Wijaya Putra  
            Indonesia

    (*) Corresponding Author

Abstract

Glass crafts are one of the MSME products in Indonesia, in selling process transactions there’re many inconsistent between the available stock and the agreed transactions number. This will have a significant impact on customer trust which will lead to a reduction purchases number. So the researchers took the initiative to make sales forecasts to predict next sales number, due to the many forecasting methods available, the researchers will use two methods which will be compared to find out the most effective method for forecasting sales number. From the forecasting calculations using the exponential moving average method and the Brown's double exponential smoothing method, it can be concluded that the best method used in calculating sales forecasting for glass craft products at MSMEs is the Brown's Double Exponential Smoothing method using α value of =0.5 which produces MAPE is 3.19% and the next sales forecast value (January 2021) is 6.33.

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Published
2022-06-30
 
How to Cite
[1]
R. Utami, K. D. Pratama, and S. Atmojo, “Comparison of Exponential Moving Average and Brown’s Double Exponential Smoothing Method for Forecasting Glass Craft Sales”, PELS, vol. 2, no. 2, Jun. 2022.