Decision Support System using Data Mining Method for a Cross Selling Strategy in Retail Stores

Abstract

<p>A sales transaction dataof a retail company which is collect edevery day is enormous. Very large data will bemore meaning fultoin crease the company’s profitsif itcanbe extracted properly. Based on the research resultsof Andhika, et al[1], ZhangandRuan[6], Herera et al [7], Witten [11], explained that one of the methods that can gather information from the transaction data is the method of association. With this method it can be determined the patterns of transactions performed simultaneously and repeatedly. Thus, it can be obtained amodel that can be used as a reference for cross selling sales strategy. The purpose of this research is to apply data mining association methods of data mining by using <em>apriori </em>algorithm to create a new sales strategy for cross selling. Based on calculations, Association Rule is implemented by applying Confidence value=0.8while the value of Support=0.1 of the defined minimum value, the total result are 77 rules.</p><p>Keywords: Data Mining, Association, <em>Apriori</em> Algorithm, Cross Selling, Retail Stores</p>

Analysis of Delivery Data by Medical Staff Using The K-Means Algorithm in Sleman District

“…This research uses the Apriori Algorithm method to collect transaction data that is used as a reference for new cross-selling sales strategies. Based on calculations, the Association Rule is implemented by applying a Confidence value = 0.8 while the Support value = 0.1 from the minimum value determined; the total result is 77 rules [11]. The previous study also discussed using the K-Means Algorithm with the title Population Density Cluster Analysis in DKI Jakarta Province, using the K-Means Algorithm with the results of grouping starting from data collection, data understanding, data processing to improve data quality and attribute selection, assessment of cluster tendencies.…”

Implementation of the FP-Growth Algorithm in Sales Transactions for Menu Package Recommendations at Warung Oemah Tani

“…Then research using FP-Growth can also be used to find out the pattern of relationships in data transaction sales of outdoor products in the West Nusa Tenggara region [7]. Subsequent research aims to apply data mining association data mining methods to create new sales strategies for cross-selling [8] From the studies discussed previously, this study uses sales transactions to recommend food and beverage menus to be ordered by consumers. This research utilizes the Rapidminer application for data analysis.…”