Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Mantik
Sugihya Artha Dwipayani
Institut Bisnis dan Teknologi Indonesia
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media

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

Found 1 Documents
Search

 1 
Sales Forecasting Applications For Retail Companies Using Double Exponential Smoothing And Golden Section Methods I Made Dwi Putra Asana; I Made Deni Kurniadi; Sugihya Artha Dwipayani; Ketut Jaya Atmaja
Jurnal Mantik Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i2.2584

Abstract

The availability of goods becomes one of the keys to the success of supermarket business in fulfilling consumer needs. The Forecasting methods can help to predict the sales in the future and it can help to find sales statistics daily, monthly or yearly. The application of exponential smoothing requires the process of determining the smoothing value by performing several tests. The determination of smoothing is a challenge in the forecasting process because it takes several tests of the optimal smoothing value to reduce forecasting errors. This study proposed the application of the golden section in optimizing the determination of the smoothing value. Golden section is an optimization method that provides extreme values ??of a non-linear function by reducing the range of values ??that contain extreme values. The results of the Forecasting method were based on the training data in which the trend and the result of the forecasting approached to the training data that used for forecasting. According to the results of the forecasting which conducted based on the training data was MAPE 26.460474 % and MAPE results from comparison of testing data obtained was 21.89696%.
Co-Authors Asana, I Made Dwi Putra Atmaja, Ketut Jaya I Made Deni Kurniadi