PENERAPAN DATA MINING UNTUK ANALISIS POLA PEMBELIAN KONSUMEN DENGAN ALGORITMA APRIORI PADA DATA TRANSAKSI PENJUALAN ( STUDI KASUS : PAMELLA SUPERMARKET )

FUSNA FAILASUFA , NIM. 10651072 (2014) PENERAPAN DATA MINING UNTUK ANALISIS POLA PEMBELIAN KONSUMEN DENGAN ALGORITMA APRIORI PADA DATA TRANSAKSI PENJUALAN ( STUDI KASUS : PAMELLA SUPERMARKET ). Skripsi thesis, UIN SUNAN KALIJAGA.

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Abstract

Data transactions from a particular enterprise, likes Pamella Supermarket, increase from day to day. Sometimes, they are allowed to increase higher without any serious action. By using data mining, the data transaction can be processed to be the useful information especially from that enterprise itself. This research applies apriori algorithm toward data mining inside an application that can be used to analyse the consumen purchase scheme of Pamella Supermarket on the different branch. With applies that method, this research hoped can give the patterns of association rules on each branch of Pamella Supermarket. From that patterns, then it will interpretate to some information or knowledge. This research is done by applying apriori algorithm inside the application. That application can give consumen buying patterns on each branch of Pamella Supermarket. that can indicate the schemes of the consumer sale for each branch of Pamella Supermarket. From that patterns, then it have been interpretated to some new informations or knowledge.

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