Analisis Frekuensi Pola Pembelian Konsumen Menggunakan Algoritma Frequent Pattern Growth Pada Data Transaksi Penjualan Bon Bon Resto Semarang

FACHRUZI, NUR IMAM (2014) Analisis Frekuensi Pola Pembelian Konsumen Menggunakan Algoritma Frequent Pattern Growth Pada Data Transaksi Penjualan Bon Bon Resto Semarang. Skripsi, Fakultas Ilmu Komputer.

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Abstract

Utilization of transaction data that many stored can provide a lot of useful knowledge in making policy and business strategy for Bon Bon Resto. To achieve this, Market Basket Analysis application needed. One of the techniques of Data Mining is the Association Rule, which is a procedure in Market Basket Analysis to seek knowledge in the form of consumer purchasing patterns. This pattern, can be input in making policy and business strategy. A pattern determined by two parameters, namely support (support value) and confidence (certainty values). Market Basket Analysis using Frequent Pattern Growth (FP-Growth) algorithms by applying a data structure called the Tree or FP-Tree to find a pattern of transactions which is often do by consumers. The results of this study are the form of the product purchase patterns of data that has the support and confidence values are high as a recommendation to purchase packages of food and drinks at the restaurant of Bon Bon Resto.

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