APPLICATIONS USING DATA MINING ASSOCIATION RULES WITH PRIORI METHOD FOR ANALYSIS OF DATA ON THE MARKET BASKET PHARMACY SALES TRANSACTIONS

Leni Meiwati

Abstract


Keyword: market basket analysis, association rule, apriori, javaABSTRACTAlong with technological development, growing also in the ability to collect andprocess data. Therefore we need an application that is able to pick and choose the data thatlarge, so as to obtain useful information. Application of data mining in business management,production control, and market analysis for example, allows obtaining the relationship thatcan be used to increase sales, or management of resources better. One technique used in datamining is market basket analysis techniques. This technique aims to discover patterns ofproducts are often purchased together or tend to appear together in a transaction.This research aims to create a apikasi data mining using association rules with a priorimethod as market basket analysis techniques. The data is taken as an example the case ofsales transaction data in the pharmacy sector in Perumnas 1. The results of association rulesobtained in the form of a combination of drugs that are often purchased by consumers. Fromthese results expected to assist pharmacy management to design a marketing strategy inapoteknya drug. Search this association using Java software and storage media supported byMicrosoft Access database that could facilitate users of the aplication.

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