Syahputra, Alvin Rizky (2025) Analisis Pola Asosiasi Pembelian Konsumen Menggunakan Algoritma Apriori Di UD Top Pangan. Undergraduate thesis, UPN "Veteran" Jawa Timur.
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Abstract
UD Top Pangan is a retail business that sells various daily necessities, handling approximately 70 to 100 transactions per day and offering more than 120 types of products. This study aims to analyze consumer purchasing patterns at UD Top Pangan using the Apriori algorithm, a data mining method used to identify associations between products based on historical transaction data. The research utilizes transaction data recorded from January to April 2025, totaling more than 32,000 entries. The analysis process includes data preprocessing, the formation of frequent itemsets, and the generation of association rules using a minimum support threshold of 3% and a minimum confidence of 60%. The results yielded eight association rules, six of which have a confidence level of ≥ 70%. One example is the rule {Lifebuoy} → {Rinso Bubuk}, with a support value of 6.1% and a confidence of 77.4%. These findings indicate that consumers tend to purchase certain products together. This information can be utilized to develop more effective product placement strategies, bundling promotions, and stock management. Thus, the implementation of the Apriori algorithm has proven to make a significant contribution to improving operational efficiency and competitiveness in retail businesses.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Subjects: | H Social Sciences > HG Finance > HG1709 Data processing T Technology > T Technology (General) > T55.4-60.8 Industrial engineering. Management engineering |
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| Divisions: | Faculty of Engineering > Departement of Industrial Engineering | ||||||||
| Depositing User: | Alvin Rizky Syahputra | ||||||||
| Date Deposited: | 07 Jul 2025 04:45 | ||||||||
| Last Modified: | 07 Jul 2025 04:45 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/38842 |
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