Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Industrika : Jurnal Ilmiah Teknik Industri
Reza Septiansyah
Universitas Singaperbangsa Karawang
Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Perbandingan Peramalan Permintaan Produk Hollow Alumunium Menggunakan Metode Single Moving Average Dan Exponential Smoothing Pada PT. MU Reza Septiansyah; Wahyudin Wahyudin
Industrika : Jurnal Ilmiah Teknik Industri Vol. 7 No. 3 (2023): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v7i3.1073

Abstract

Demand forecasting is an attempt to predict demand for a product or prepare stock for a certain time. PT MU is an aluminum distribution company that sells products in the form of white powder coating white aleksindo, sells hikarindo aluminum window materials, curved aluminum frame materials, aluminum door frame materials wood veins and also as a center for making aluminum door frames. The demand for Hollow Aluminum at PT MU from month to month during 2022 has increased and also decreased. Therefore the company conducts demand forecasting. The method used in forecasting Hollow Aluminum demand is to compare the single moving average and exponential smoothing methods to find out the most effective method. Based on the results of data processing and discussion, it is obtained that the most effective method in forecasting Hollow Aluminum products is the 3-month single moving average method because it obtains the lowest mean squared error (MSE) value of 392.67. Keywords: Exponential Smoothing, Forecasting and sales, Single Moving Average
Co-Authors Wahyudin Wahyudin