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All Journal Jurnas Nasional Teknologi dan Sistem Informasi Internet of Things and Artificial Intelligence Journal
Widiawati, Neta Tri
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Journal : Internet of Things and Artificial Intelligence Journal

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Implementation of the FP-Growth Algorithm in Sales Transactions for Menu Package Recommendations at Warung Oemah Tani Triana, Latifah Adi; Khoerida, Nur Isnaeni; Widiawati, Neta Tri; Tahyudin, Imam
Internet of Things and Artificial Intelligence Journal Vol. 2 No. 2 (2022): Volume 2, Issue 2, 2022 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (616.471 KB) | DOI: 10.31763/iota.v2i2.563

Abstract

Along with the rapid development of the culinary industry, business competition is also getting tougher. Warung Oemah Tani serves a variety of menus and drinks, but to provide satisfying service to customers, business people must try to develop new products. Under these circumstances, the menu recommendations for Warung Oemah Tani need to be analyzed so that the recommendations made are right on target. This study aims to analyze the sales of Warung Oemah Tani using the FP Growth algorithm. This algorithm identifies the data set with the highest frequency of concurrent sales (frequent itemset). The results of the association rules show that the highest support value is 0.520 and the highest confidence value is 0.929, with a minimum support of 30% and a minimum confidence of 80%. Obtained 14 rule associations that meet the minimum support and minimum confidence.
Co-Authors Imam Tahyudin Khoerida, Nur Isnaeni Merliani, Nanda Nurisya Pungkas Subarkah Triana, Latifah Adi