ANALISA POLA BELANJA KONSUMEN MENGGUNAKAN MOTODE ALGORITMA APRIORI BERBASIS WEB (STUDI KASUS : BISNIS KULINER SUNRICE PEKANBARU)

Abstract

Data mining is an activity of collecting and processing large data that is used to produce useful information. The data processed in data mining uses a technique that combines data analysis methods with existing algorithms in data mining. Data processing can be used in any aspect of the field, including in the culinary field. Sunrice Pekanbaru is a culinary business that is growing and already has a lot of sales transaction data. The data can be processed using an apriori algorithm by applying the existing association rules in data mining. Existing data from the results of consumer spending patterns can be analyzed using the market basket analysis method. The results of the data processing can be used as a source of information for the marketing in the culinary business of Sunrice Pekanbaru because it can find trends in the combination of itemsets from menus that are frequently purchased by customers.