Forecasting Product Selling Using Single Exponential Smoothing and Double Exponential Smoothing Methods (Case study: XYZ Store)
F Sidqi (abc), ID Sumitra (b)
a) Master of Information System, Faculty Of Post Graduate
b) Universitas Komputer Indonesia
Jl. Dipati Ukur No.112-116, 40132, Bandung, Jawa Barat, Indonesia
c) fajar.sidqi[at]gmail.com
Abstract
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.
Keywords: Forecasting;Product Sell;Single Exponential Smoothing;Double Exponential Smoothing
Topic: Informatic and Information System