Track: Data Analytics and Big Data

Abstract

This study applied Data Mining method to cluster sales transaction at Abie JM Stores experienced a decline in sales, therefore a strategy was needed to increase sales again. One way that can be done to determine customer needs is to analyze sales transaction data. Actually the sales transaction data can be further processed so that more useful information is obtained to increase income, sales and purchase turnover. Data mining by using k-means grouping or clustering. Data mining can be used to find solutions in making sales decisions in order to increase revenue. Sales data storage stores a large number of sales transaction records, where each record provides products purchased by consumers in each sales transaction. From the calculation results, it can be concluded that the k-means clustering method can support the system well. Therefore we need a data processing process using a data mining technique. In the data collection process in this study using the interview process and shopping transaction data collection.