Open AccessForecasting Product Selling Using Single Exponential Smoothing and Double Exponential Smoothing Methods
Author(s) -
F Sidqi,
Irfan Dwiguna Sumitra
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/662/3/032031
Subject(s) - exponential smoothing , smoothing , double exponential function , exponential function , product (mathematics) , econometrics , mathematics , computer science , statistics , mathematical optimization , mathematical analysis , geometry
The purpose of research is to observe forecasting product selling. The methods used are Single Exponential Smoothing and Double Exponential Smoothing. The result showed that MAPE of Single Exponential Smoothing is 20% and MAPE of Double Exponential Smoothing around 24%. The use of Single Exponential Smoothing method has a lower error. The finding shows that forecasting with single exponential smoothing is recommended to be used by XYZ store in this case. Therefore, the data proceed by those methods will be the beneficial outcome the issue of XYZ store in determining their product stock in the future time.