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All Journal Journal of Information Technology and Cyber Security
Rahayu, Dania Gusmi
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering

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Sales Forecasting Analysis Using Trend Moment Method: A Study Case of a Fast Moving Consumer Goods Company in Indonesia Fauzan, Ammar; Rahayu, Dania Gusmi; Handayani, Annisa; Tahyudin, Imam; Saputra, Dhanar Intan Surya; Purwadi, Purwadi
Journal of Information Technology and Cyber Security Vol. 1 No. 1 (2023): January
Publisher : Department of Information Systems and Technology, Faculty of Intelligent Electrical and Informatics Technology, Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jitcs.7572

Abstract

The market of Fast-Moving Consumer Goods (FMCG) companies in Indonesia is enormous. Unilever has 400 brands in more than 190 countries, making it a global business that is as influential in the consumer product market as it is in Indonesia. Sales forecasting at this company is very useful for planning expenses and the company's total costs on the business strategy. This study uses trend moment method to forecast the sales and earnings of Unilever Indonesia companies at the end of the year. This article aims to test the performance of the trend moment method calculation on the prediction of net sales and profits in FMCG companies. At the end of the analysis process, it can be concluded that forecasting using trend moment method is going very well. This indicator of success is shown by the error level of MAPE, which is below 10%.
Co-Authors Ammar Fauzan, Ammar ANNISA HANDAYANI Dhanar Intan Surya Saputra Imam Tahyudin Purwadi Purwadi