Application of Data Mining to Predict the Sales of the Best-Selling Shoe Products using the Simple Linear Regression Method

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Published Dec 30, 2020
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Vol. 14 No. 2 (2020): Login : Jurnal Teknologi Komputer, Edition December 2020

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Arista Morina Tinambunan
Informatics Engineering Study Program, STMIK Pelita Nusantara, Medan
Paska Marto Hasugian
Informatics Engineering Study Program, STMIK Pelita Nusantara, Medan

Abstract

Sales prediction is an estimate of sales at a future time in certain circumstances and is made based on data that has occurred. This prediction is influenced by the sales of products in PT.Sepatu Bata. Simple Linear Regression is a linear relationship between one independent variable and the dependent variable, this analysis is to determine the direction of the relationship between the independent variable and the dependent variable whether it is positive or negative and to predict the value of the dependent if the value of the independent variable has increased or decreased. The author will design a data mining implementation system to predict the sales of the best-selling shoe products to better utilize existing sales transaction data. The design will be implemented using the PHP programming language and MySQL database. This research is expected to produce a datamining implementation system to predict the sales of the best-selling shoe products using the website-based simple linear regression method.

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How to Cite
Tinambunan, A. M., & Hasugian, P. M. (2020). Application of Data Mining to Predict the Sales of the Best-Selling Shoe Products using the Simple Linear Regression Method. Login : Jurnal Teknologi Komputer, 14(2), 113-120. Retrieved from http://login.seaninstitute.org/index.php/Login/article/view/39

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