Priscila Amanda Simarmata, . (2026) PENDEKATAN DUKUNGAN PENGAMBILAN KEPUTUSAN MELALUI SEGMENTASI DAN POLA PEMBELIAN SPARE PART DENGAN METODE KLASTERISASI DAN ASOSIASI DI CV. XYZ. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Spare parts inventory plays an important role in the smooth operation of a repair shop because it directly affects service time and customer satisfaction. However, stock determination often still depends on experience, which risks causing shortages of frequently needed parts or accumulation of rarely sold parts. This study aims to analyze spare part purchasing patterns and segmentation to support inventory management decision-making at CV. XYZ. The data used consists of spare part sales transactions from February to December 2024, totaling ±33,000 lines from approximately 7,543 transactions. The research process followed the CRISP-DM stages. Purchasing patterns were analyzed using association rule mining with the FP-Growth algorithm at a minimum support parameter of 0.01 and a minimum confidence of 0.25, resulting in 81 association rules. Spare part segmentation was performed using K-Means clustering with 3 clusters, which were then mapped into fast, slow, and no moving segments. Cluster 0 (fast) consisted of 114 items, Cluster 1 (slow) consisted of 176 items, and Cluster 2 (non) consisted of 39 items. The analysis results were implemented in a Streamlit dashboard to aid in interpretation and stock priority recommendations. Evaluation through interviews showed that the dashboard was deemed suitable for the workshop's operational needs and feasible for use as a decision support tool.
| Item Type: | Thesis (Skripsi) |
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| Additional Information: | [No.Panggil: 2110512049] [Pembimbing 1: Ruth Mariana Bunga Wadu] [Pembimbing 2: Catur Nugrahaeni Puspita Dewi] [Penguji 1: I Wayan Widi Pradnyana] [Penguji 2: Tri Rahayu] |
| Uncontrolled Keywords: | spare parts, inventory management, FP-Growth, association rules, K-Means |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TS Manufactures |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Sistem Informasi (S1) |
| Depositing User: | PRISCILA AMANDA SIMARMATA |
| Date Deposited: | 25 Mar 2026 07:11 |
| Last Modified: | 25 Mar 2026 07:11 |
| URI: | http://repository.upnvj.ac.id/id/eprint/49564 |
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