Hayat, Nadiyah Syaidatus Shofa Abdul (2026) Rekomendasi Bundling Produk dengan Algoritma K-Means dan FP-Growth untuk Optimalisasi Stok pada Saiqa Frozen Food 2. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Consumption of frozen food products in Indonesia has increased, as shown by the 2024 Jakpat survey, which recorded high public preference for various types of frozen food products. This growth has led to increased competition in the frozen food sector. The increasingly fierce competition has forced businesses to offer a wider variety of products to attract consumers. However, differences in demand between products have caused imbalances in stock movements. Saiqa Frozen Food 2 faces stock movement imbalances, where some products have high sales while others experience accumulation. This study aims to optimize inventory management through a data mining approach by combining the K-Means and FP-Growth algorithms and using the CRISP-DM approach with transaction data from December 2024 to August 2025, consisting of 58,933 transactions and 748 products. The clustering results produced three clusters, namely slow moving (650 products), medium moving (81 products), and fast moving (17 products). Association rule analysis with a minimum support of 0.001 produced association rules that were then integrated with cluster labels to analyze cross-cluster relationships based on product sales movement levels. This integration allowed product interrelationship patterns to be understood in the context of the relationship between fast, medium, and slow-moving clusters as an analytical basis for inventory management and optimization at Saiqa Frozen Food 2.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | T Technology > T Technology (General) > T58.6-58.62 Management Information Systems | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Information Systems | ||||||||||||
| Depositing User: | Nadiyah Syaidatus Shofa Abdul Hayat | ||||||||||||
| Date Deposited: | 06 Mar 2026 06:41 | ||||||||||||
| Last Modified: | 06 Mar 2026 06:41 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/50214 |
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