Basket Market Analysis Using R-Based Apriori Algorithm to Find Information from Sales Data

Authors

  • Indra Yustiana Nusa Putra University
  • Irvan Sutarha Nusa Putra University
  • Nindia Maulawati Nusa Putra University
  • Ilham Maulana Yusuf Nusa Putra University

DOI:

https://doi.org/10.52005/ijeat.v4i2.52

Keywords:

Market Basket Analysis, Apriori, Clothing Retail Stores

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

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Published

2021-11-29

How to Cite

Indra Yustiana, Irvan Sutarha, Nindia Maulawati, & Ilham Maulana Yusuf. (2021). Basket Market Analysis Using R-Based Apriori Algorithm to Find Information from Sales Data. INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT), 4(2), 79–92. https://doi.org/10.52005/ijeat.v4i2.52