Utilizing Linear Regression for Predicting Sales of Top-Performing Products

Authors

  • matthew Pratama Universitas Bhayangkara Jakarta Raya

DOI:

https://doi.org/10.58776/ijitcsa.v1i3.92

Keywords:

Prediction, Linear Regression, MAPE, Medical Devices

Abstract

PT Ajidarma Delta Medika is a company engaged in the sale of medical devices in the city of Bekasi. This company markets a variety of medical device products. Judging from the large number of consumer requests for medical device products based on sales data for the last 3 years, predictions are needed for the best-selling product sales, in order to facilitate the company in planning the supply of stock. To find out the best-selling medical device product sales, data prediction techniques are used with the Linear Regression algorithm. By using the Linear Regression algorithm, the results are obtained to predict the best-selling sales of several products sold at PT Ajidarma Delta Medika. This research produces an accuracy value with the MAPE formula for predicting the best-selling product sales of 14.2%. This shows that the linear regression method is good at predicting sales of medical devices in the following year.

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Published

10-09-2023

How to Cite

Pratama, matthew. (2023). Utilizing Linear Regression for Predicting Sales of Top-Performing Products. International Journal of Information Technology and Computer Science Applications, 1(3), 174–180. https://doi.org/10.58776/ijitcsa.v1i3.92

Issue

Vol. 1 No. 3 (2023): September - December 2023

Section

New Submission

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Copyright (c) 2023 matthew Pratama

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