PENENTUAN POLA PEMBELIAN KONSUMEN PADA TOKO MIRING MENGGUNAKAN ALGORITMA FP-GROWTH

CRISTIANTO, KURNIAWAN and Kurniati, Rizki and Saputra, Danny Matthew (2023) PENENTUAN POLA PEMBELIAN KONSUMEN PADA TOKO MIRING MENGGUNAKAN ALGORITMA FP-GROWTH. Undergraduate thesis, Sriwijaya University.

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Abstract

One of the important issues that has been the focus of public attention lately is the fulfillment of basic needs. People usually buy necessary items through convenience stores to meet those needs. Toko Miring sells everyday items such as beverages, food, health products, beauty products, home, and living essentials. Certain combinations of items often appear in many transactions, forming a pattern or interconnected combination of items. This study aims to apply the FP-Growth algorithm to identify frequently purchased combinations of items by customers, thus determining consumer purchasing patterns through the generated association rules. The results of these association rules can be used as references in marketing and sales of goods. This study uses 12,000 sales transaction data and generates 34 association rules with a minimum support criterion of 0.25% and a minimum confidence criterion of 50%. One of the obtained rules is that customers purchase INDOMIE KARI AYAM 72G and then purchase INDOMIE GORENG 80G, with a support value of 1.44% and a confidence value of 61.9%, as well as a lift ratio of 12.53. The results of this research also indicate that the FP-Growth algorithm has better computational speed compared to other algorithms due to the pruning process, which reduces the number of processed combination patterns, and the use of the FP-Tree structure, which reduces the amount of data scanning.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Association rules, confidence, FP-Growth, support
Subjects:	Q Science > QA Mathematics > QA75-76.95 Calculating machines > QA76 Computer software
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Kurniawan Cristianto
Date Deposited:	23 Jun 2023 05:10
Last Modified:	23 Jun 2023 05:10
URI:	http://repository.unsri.ac.id/id/eprint/113155

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