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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Batara Wisnu : Indonesian Journal of Community Services Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Taguchi : Jurnal Ilmiah Teknik dan Manajemen Industri
Jeremias Leda
Universitas Atma Jaya Makassar
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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Journal : Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

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Analysis of Supermarket Product Purchase Transactions With the Association Data Mining Method Norbertus Tri Suswanto Saptadi; Phie Chyan; Jeremias Mathias Leda
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 3 (2023): Juni 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i3.4844

Abstract

The development of business world is entering the era of big data. In meeting supermarkets' sales and purchase targets, the management needs to improve themselves in managing the goods available in the store. The research aims to determine the pattern of purchases that occur in a transaction, find out related and related products in supermarkets, and improve supermarket services to customers. The method applied uses the association rules approach to data mining. Several purchasing data from customers have been able to be analyzed by displaying a diagram as a visualization of the number of specified association rules. The processing results show a relationship above 90%: sugar and coffee with a confidence of 94.4%, shirts and trousers with a confidence of 93.4%, and sugar, milk, and coffee with a confidence of 92.0%. Decisions that can be taken by supermarket management in providing places and goods need to consider and follow product relationships and proximity based on the highest confidence value to provide services to customers effectively and efficiently.
Co-Authors Chasper Steven More Dionisius Ardeni Limbran Sampebatu Norbertus Tri Suswanto Saptadi Phie Chyan Simon Patabang Syaban Ramadhan Trials Jusuf