Implementation of Apriori Algorithm for Analysis of Consumer Purchase Patterns. (August 2019)

• Record Type: Journal Article
• Authors: Panjaitan, Suprianto; Sulindawaty, ; Amin, Muhammad; Lindawati, Sri; Watrianthos, Ronal; Sihotang, Hengki Tamando; Sinaga, Bosker
• Is Part Of: Journal of physics. Volume 1255(2019)
• Publication Date: 2019-08
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1255/1/012057
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Consumer purchasing patterns are a form of purchases made by consumers, whether someone or a lot of people to get the desired item by making a purchase transaction. One characteristic of the purchase pattern is the existence of acquiring something through exchanging money. This study aims to create an application that is used in determining consumer purchasing patterns by applying a priori algorithms and using Visual Basic 2010 as a tool for determining consumer purchase patterns. This application uses a priori algorithm calculation method where the sample consumer purchase data will be sorted and calculated by providing the value of the minium support and configuration parameters and based on the results of confidence the largest number of conclusions such as: can be used as information for determining sales, the application of a priori algorithms can provide information pattern combination item set from consumer purchase data that is with support above 15% and confidence above 50% on item set.