Article Per Year (5 Year)
p-Index From 2019 - 2024
0.23
P-Index
This Author published in this journals
All Journal Jurnal Informasi Sains dan Teknologi (ISAINTEK)
Akhiruddin Akhiruddin
Universitas Global Jakarta
Computer Science & IT Other

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

Found 1 Documents
Search

 1 
Estimasi Penjualan Oli Gardan dengan Perbandingan Berbagai Metode Deret Waktu untuk Mengatasi Permintaan Fluktuatif Kun Harjiyanto; Ayu Nurul Haryudiniarti; Akhiruddin Akhiruddin
Jurnal Informasi, Sains dan Teknologi Vol. 4 No. 2 (2021): Desember : Jurnal Informasi, Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v6i02.138

Abstract

Sales of scooter gear oil-syn120mlrep spare parts with part serial number 08234M99K8LZ0 at PT. ADM experienced problems with the number of orders needed to suppliers. One of the reasons is because of uncertain sales. The author offers a solution to overcome the problems faced by the inventory section by estimating sales using forecasting methods based on past data. The purpose of estimating sales is so that the company can anticipate surges in demand for spare parts from customers. The method used is Time Series Analysis assisted by POM QM software for windows. This forecasting method consists of Moving Average, Weighted Moving Average, Exponential Smoothing and Exponential Smoothing with Trend. In addition to calculating forecasting, forecasting tests were also carried out by calculating (Mean Absolute Deviation-MAD) of 30.175, mean squared error (Mean Square Error-MSE) of 1434.542, and average absolute percent error (Mean Absolute Present Error-MAPE). 49.443%,. The results of forecasting test calculations are obtained for forecasting recommended to companies using Exponential Smoothing with Trend with a total demand for the next period of 85 units. The company can make decisions for the next month's orders to suppliers based on estimated sales using the forecasting method that has been chosen earlier, so that fluctuations in demand from customers can be overcome.
Co-Authors Ayu Nurul Haryudiniarti Kun Harjiyanto