IMPLEMENTASI METODE MARKET BASKET ANALYSIS (MBA) MENGGUNAKAN ALGORITMA APRIORI DALAM TRANSAKSI PENJUALAN (STUDI KASUS: KAFE RUANG TEMU)

Authors

  • Muhammad SyahruRomadhon Universitas Mercu Buana
  • Achmad Kodar Universitas Mercu Buana

DOI:

https://doi.org/10.33020/saintekom.v10i2.137

Keywords:

data mining, market basket analysis, apriori, kafe

Abstract

Jakarta is one of the culinary attractions, many tourist attractions every year become creative in business. One of them is a cafe. Cafe Ruang Temu has sales transaction data but is not used to see associations between one product and another. In this case there needs to be a system for finding menu combinations by processing sales transactions. One of the data mining techniques is association rule or Market Basket Analysis (MBA) with apriori algorithm. Apriori algorithm aims to produce association rules to form menu combinations. The sales dataset for January 2019 to July 2019 is determined by the minimum support and minimum confidence values that have been set.  

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Published

19-08-2020

How to Cite

SyahruRomadhon, Muhammad, and Achmad Kodar. 2020. “IMPLEMENTASI METODE MARKET BASKET ANALYSIS (MBA) MENGGUNAKAN ALGORITMA APRIORI DALAM TRANSAKSI PENJUALAN (STUDI KASUS: KAFE RUANG TEMU)”. Jurnal Saintekom : Sains, Teknologi, Komputer Dan Manajemen 10 (2):138-47. https://doi.org/10.33020/saintekom.v10i2.137.

Issue

Vol. 10 No. 2 (2020): September 2020

Section

Articles

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