Analysis of Determination of Strategy Promotion using Apriori Algorithm

• Published in: Journal of physics. Conference series Vol. 1477; no. 2; pp. 22032 - 22038
• Main Authors: Rachmatika, Rinna, Harefa, Kecitaan
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.03.2020
• Subjects: Algorithms; Consumers; Physics
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/1477/2/022032

Promotion is an activity or marketing idea commonly carried out by business actors to attract the attention of consumers either to introduce an item or to increase consumers so they want to buy the item. Apriori is an algorithm that can perform several itemset required by knowledge to determine the rules in making information related to determining candidates who will emerge as a result based on the support and trust determined by the analyst. The results of the analysis using the Apriori Algorithm in this study are that the 2 itemet rules that have been made can be used as a strategy for the promotion of goods based on sales transaction data. Because what is produced is high, the highest level of trust is 100%, and the lowest is 84%. Goods that have the highest trust value can be used as a promotional strategy.