Penerapan Metode Single Exponetial Smoothing Pada Peramalan Permintaan Pelanggan
Kode Repository :SKI196/DWI/20
NPM :065115027
Nama :Dwi Endarwati
Pembimbing 1 :-Arie Qur'ania M.Kom
Pembimbing 2 :-Boldson H.S, S.Kom. MMSI
Abstrak :-PENERAPAN METODE SINGLE EXPONENTIAL
SMOOTHING PADA PERAMALAN
PERMINTAAN PELANGGAN
Dwi Endarwati1), Arie Qur’ania2), Boldson Herdianto Situmorang3)
1,2&3)Program Studi Ilmu Komputer, Fakultas MIPA, Universitas Pakuan
1)dwiendarwati41@gmail.com, 2)qurania@unpak.ac.id, 3)boldson_skom@yahoo.com
Abstract
PT TOA Galva Industries manufactures loudspeakers and microphones for use in communication technology. Because of the high demand from buyers, PT TOA Galva Industries faced a stock shortage of up to 33% of the total stock level that should have been owned, and accumulated up to 36% of the total stock level in the output inventory. PT TOA Galva Industries needs to know the number of customer requests for the next period by predicting the number of requests based on the data they have from the previous period. The aim of this research is to use the single exponential smoothing method to forecast consumer demand and use it as a decision-making tool for the business. Data on goods demand from April 2014 to March 2019 was used to compare forecasting to the previous 5 years and 1 year periods, as well as to measure the error value using MAD, MSE, and MAPE. After performing the calculations, it appears that the 1 year cycle estimate has the smallest error value.
Keywords : Forcast, Predicting, Single Exponential Smoothing