Amelia, Avril Firda (2025) Analisis Aturan Asosiasi Untuk Optimalisasi Strategi Penjualan Dengan Metode Algoritma Apriori di Pt Ever Age Valves Metals. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
PT Ever Age Valve Metals is a manufacturing company that produces various types of industrial valves. Even though it has penetrated the export market, the company still experiences fluctuations in the number of orders each month because the data utilization has not been optimal in developing the right sales strategy. This research aims to identify association rules with the Apriori algorithm that will be used as the basis for sales recommendations. The analysis was conducted on transaction data during the period January 2024 to February 2025, with minimum support parameters of 20% and minimum confidence of 65% obtained through exploration. The analysis resulted in 14 frequent itemsets of level 1 (L1), 21 association rules with a combination of 2 items (L2), and 8 association rules with a combination of 3 items (L3), which showed interrelationships between products to develop cross-sell and sampling schemes. This pattern is used to design sales strategies: cross-selling and product bundling to increase the value of purchases in a single transaction, and product sampling to introduce certain products that are not yet popular. GV and CV are products that showed the strongest association with a support value of 0,427, confidence 0,767 and 0,810, also a lift value of 1.455, indicating the potential for increased sales if offered together. The personalized strategy recommendations are expected to expand market reach and drive a sustainable increase in the company's sales volume.
| Item Type: | Thesis (Undergraduate) | ||||||||
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||||||
| Divisions: | Faculty of Engineering > Departement of Industrial Engineering | ||||||||
| Depositing User: | Avril Firda Amelia | ||||||||
| Date Deposited: | 17 Jun 2025 08:21 | ||||||||
| Last Modified: | 04 Jul 2025 03:30 | ||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/37763 |
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