Analysis of Apriori Algorithm on Sales Transactions to Arrange Placement of Goods on Minimarket

Abstract

In the business world, business development is a very
important factor to be reckoned with. This is done in order to
always survive in the competitive world of business. Improving
product quality, adding product types and reducing the company's
operating costs are some things that can be done in order to
survive in the competition. The thing that can be done to meet
those needs is to perform sales transaction data analysis using
Data Mining. One of the Algorithms that belongs to an association
in Data Mining that matches is the Apriori Algorithm. A priori
algorithm aims to find frequent item sets in a set of data. A priori
algorithm defined a process to find a priori rules that meet
minimum requirements for support and minimum requirements
for confidence. This research seeks to develop a business strategy
of placement of groceries that is adjusted to the consumer
consumption pattern in minimarket. Thus, the arrangement of
merchandise can be adjusted with the rules of association to fit the
pattern of consumer consumption.