Clean Energy and Smart Technology
Vol. 3 No. 2 (2025): April

PRODUCT SALES PREDICTION SYSTEM AT REX COMPUTER STORE USING WEBSITE-BASED SINGLE EXPONENTIAL SMOOTHING METHOD

Rizqi Kafa Muntaqa (Unknown)
Sibyan, Hidayatus (Unknown)
Dimas Prasetyo Utomo (Unknown)



Article Info

Publish Date
30 Apr 2025

Abstract

Estimating or predicting the amount of sales is one of the factors that determines whether a company's business is running well or not. The problem faced by Rex Computer is that it cannot predict product sales in the future with current sales data, so customers may run out of stock when they want to buy the items they want. This study aims to create a system that is able to predict sales and determine the level of accuracy of the system. This study will implement the single exponential smoothing method, which is one of the prediction algorithms. The method used is an interview with Rex Computer employees regarding product sales and sales data is obtained. As well as conducting a literature study to find data from various literatures about predictions using the single exponential smoothing method. This study produces a website-based prediction system that can predict with results for product sales in the USB Wifi category with an alpha value of 0.1, namely the prediction results of 6-7 products, MAD = 2.11, MSE = 8.16, RMSE = 2.85560831906761, MAPE = 18.52, and accuracy = 81%,

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Journal Info

Abbrev

cest

Publisher

Subject

Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Mechanical Engineering

Description

The Clean Energy and Smart Technology (CEST) journal aims to provide a platform for researchers, academicians, and professionals to publish high-quality articles that explore innovative ideas and solutions in the field of energy and technology. It focuses on fostering interdisciplinary research and ...