ANALISA POLA BELANJA KONSUMEN MENGGUNAKAN MOTODE ALGORITMA APRIORI BERBASIS WEB (STUDI KASUS : BISNIS KULINER SUNRICE PEKANBARU)
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Date
2022-12
Authors
Journal Title
Journal ISSN
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Publisher
Elfitra
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.
Description
Keywords
Data Mining, Sunrice Pekanbaru, Apriori Algorithm, Association Rules, Market Basket Analysis, Itemsets
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