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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi
Anita Sindar
Teknik Informatika, STMIK Pelita Nusantara
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Data Mining Penjualan Produk Dengan Metode Apriori Pada Indomaret Galang Kota Sheih Al Syahdan; Anita Sindar
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 1, No 2 (2018): OKTOBER 2018
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (632.661 KB) | DOI: 10.32672/jnkti.v1i2.771

Abstract

The large number of transactions, companies need analytical tools to provide information that is useful for the company in determining the layout of goods, what items are most in demand by consumers and others. As experienced by several other supermarkets, product placement is a major problem. Data mining is a technique for digging up information that is hidden or hidden. This study will identify several types of association rules relating to sales transaction data, namely support and confidence values. The data used are 25 food and beverage products. Data mining technique uses associative rule with the Apriori method, aims to find a combination of items with a frequency pattern of the transaction results. After all high frequency patterns are found, then the association rules that meet the minimum requirements are found for confidence associative rules A → B minimum confidence = 25%, confidence value of A → B rules.
Co-Authors Sheih Al Syahdan