IMPLEMENTASI ALGORITMA APRIORI UNTUK MENCARI ASOSIASI BARANG PADA SUPERMARKET

AZIM, KIAGUS ABDUL and Utami, Alvi Syahrini and Arsalan, Osvari (2021) IMPLEMENTASI ALGORITMA APRIORI UNTUK MENCARI ASOSIASI BARANG PADA SUPERMARKET. Undergraduate thesis, Sriwijaya University.

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Abstract

Along with the current period of time, competition in the business world, especially in the retail sector, requires entrepreneurs to find a sales strategy, one example of which is to increase product sales at supermarkets by providing price discounts on certain combinations of products simultaneously. The application of the Apriori algorithm for product association in supermarkets is considered by the author as the ideal method to be applied to this problem because it has high accuracy and good performance. The advantages of the Apriori Algorithm are that it can handle large data. The Apriori algorithm can reduce the number of candidates whose support must be calculated by pruning. In this research, the attributes used are Invoice No, Stockcode, description, quantity, Invoice Date, Unit Price, Customer ID and the output is supermarket product association. The results of this study get results for 2,327 purchase transaction data resulting in 3,378 association rules. An example of an association rule is that a customer buys a spaceboy lunch box product and is likely to buy a red retrospot lunch bag, red star card holder, vintage snap cards, which is 100% Keywords: Apriori Algorithm, Association, Supermarket transaction.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Algoritma Apriori, Asosiasi, Transaksi supermarket
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Mr Kiagus Abdul Azim
Date Deposited:	28 Jul 2021 07:45
Last Modified:	28 Jul 2021 07:45
URI:	http://repository.unsri.ac.id/id/eprint/50795

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