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

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...

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Bibliographic Details
Published in:	Jurnal SAINTEKOM Vol. 10; no. 2; pp. 138 - 147
Main Authors:	SyahruRomadhon, Muhammad, Kodar, Achmad
Format:	Journal Article
Language:	English Indonesian
Published:	STMIK Palangkaraya 19-08-2020
Subjects:	apriori data mining kafe market basket analysis
Online Access:	Get full text
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Summary:	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.
ISSN:	2088-1770 2503-3247
DOI:	10.33020/saintekom.v10i2.137