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All Journal International Journal Engineering and Applied Technology (IJEAT)
Nindia Maulawati
Universitas Nusa Putra
Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Engineering Mechanical Engineering

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BASKET MARKET ANALYSIS USING R-BASED APRIORI ALGORITHM TO FIND INFORMATION FROM SALES DATA Indra Yustiana; Irvan Sutarha; Nindia Maulawati; Ilham Maulana Yusuf
INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) Vol. 4 No. 2 (2021): International Journal of Engineering and Applied Technology (IJEAT)
Publisher : Nusa Putra University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.427 KB) | DOI: 10.52005/ijeat.v4i2.52

Abstract

Market Basket Analysis is a data mining technique that is used to determine which products a customer will buy simultaneously by analyzing a list of customer transactions. By knowing these products, an e-commerce system can create or develop a customer profile system and can determine its own customer catalog layout. This journal discusses data mining techniques, with association rules that can help check customer buying behavior and increase sales. The result can provide reference prices for cross selling, designing promotions and placing merchandise in stores increasing sales
Co-Authors Ilham Maulana Yusuf Indra Yustiana Irvan Sutarha