PENERAPAN ALGORITMA APRIORI TERHADAP PENJUALAN UNTUK MENGETAHUI POLA PEMBELIAN KONSUMEN (Studi Kasus: Toko Kevin Djaya)

Kawi, Franky (2023) PENERAPAN ALGORITMA APRIORI TERHADAP PENJUALAN UNTUK MENGETAHUI POLA PEMBELIAN KONSUMEN (Studi Kasus: Toko Kevin Djaya). Undergraduate thesis, Universitas Katolik Musi Charitas Palembang.

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Abstract

The existence of this information technology can help business people in running their business. By utilizing previous sales transaction data, if the data is processed correctly it can generate valuable information. The Apriori algorithm is an algorithm used in extracting association rules or association rule mining (ARM) in data mining. The purpose of this study is to apply the Apriori Algorithm through transaction data so as to determine consumer shopping habits at the web-based Kevin Djaya Store. Based on the research that has been done related to consumer buying patterns at Kevin Djaya Stores, it is proven that the Apriori algorithm can and is successfully applied to determine consumer buying patterns at Kevin Djaya Stores. Consumer purchasing patterns that have been made to have a positive impact on shop owners, these purchasing patterns can be used as a reference for providing stock. In addition, the greater the minimum support and confidence values that are filled in, the fewer the number of rules that are formed. Keywords: Buyer, Seller, Website, Buy Pattern, Apriori

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