IMPLEMENTATION OF ASSOCIATION RULE MINING IN MINIMARKET PRODUCT BUNDLING RECOMMENDATIONS USING ORACLE DATA MINER

  • Husni Iskandar Pohan(1)
    Universitas Bina Nusantara
  • Boby Siswanto(2*)
    Universitas Bina Nusantara
  • (*) Corresponding Author
Keywords: association rule mining, recommender system, product bundling

Abstract

Buying and selling is a process that involves sellers and buyers or consumers where transactions occur that result in the exchange of goods for money. The seller will try to sell the goods by getting the maximum profit possible, while the buyer will get the goods at the minimum possible cost. One of the places where buying and selling transactions are potential is a minimarket. Minimarkets provide a variety of goods that buyers need, but there are times when there are goods that are not in demand by buyers, causing losses to the minimarket. There is an association rule mining technique that can find links between one item and another. The purpose of this study is to provide product bundling recommendations in the form of combining two products with one price to optimize minimarket sales. The results of this study are a list of product recommendations that are included in product bundling.

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Published
2021-09-20
How to Cite
[1]
H. Pohan and B. Siswanto, “IMPLEMENTATION OF ASSOCIATION RULE MINING IN MINIMARKET PRODUCT BUNDLING RECOMMENDATIONS USING ORACLE DATA MINER”, jicon, vol. 9, no. 2, pp. 154-159, Sep. 2021.
Section
Articles

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