Jurnal Nasional Komputasi dan Teknologi Informasi
Vol 1, No 2 (2018): OKTOBER 2018

Data Mining Penjualan Produk Dengan Metode Apriori Pada Indomaret Galang Kota

Sheih Al Syahdan (Teknik Informatika, STMIK Pelita Nusantara)
Anita Sindar (Teknik Informatika, STMIK Pelita Nusantara)

Article Info

Publish Date
29 Oct 2018

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.

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Journal Info
Jurnal Nasional Komputasi dan Teknologi Informasi
Website

Abbrev

jnkti

Publisher

Universitas Serambi Mekkah Aceh

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

Description

Jurnal Nasional Komputasi dan Teknologi Informasi adalah jurnal nasional yang diterbitkan oleh Program Studi Teknik Komputer Universitas Serambi Mekkah tahun 2018 dan telah Terakreditasi SINTA 5. Jurnal ini terbit sebanyak enam edisi dalam satu tahun yaitu setiap bulan Februari, April, Juni, ...