Fortuna, Edelin (2025) SEGMENTASI POLA PEMBAYARAN PELANGGAN PROPERTI PADA PT XYZ MENGGUNAKAN METODE X-MEANS. Undergraduate thesis, UPN Veteran Jawa Timur.
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Abstract
Understanding customer behavior is essential to support the sustainability of the property business. This study aims to segment the customers of PT XYZ based on their installment payment patterns using the X-Means Clustering algorithm. A total of 9,615 transaction records were integrated into 386 customer profiles and analyzed using selected features that represent individual buyer characteristics, such as the number of late payments and payment status. X-Means was chosen due to its computational efficiency in forming clusters. The Clustering process resulted in third clusters. Cluster evaluation was conducted using three metrics: the Silhouette Score 0.606, Davies-Bouldin Index 0,538, and Calinski-Harabasz score 472.924, indicating that the cluster separation is reasonably good. The Clustering results revealed distinct customer patterns, including those who make a single full payment, those with outstanding balances, and those with frequent payment delays. These diverse customer characteristics can be leveraged to design targeted communication strategies, optimize the billing process, and enhance overall customer relationship management, ultimately supporting the company’s business growth
Item Type: | Thesis (Undergraduate) | ||||||||||||
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Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76.6 Computer Programming Q Science > QA Mathematics > QA76.87 Neural computers |
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Divisions: | Faculty of Computer Science > Departemen of Data Science | ||||||||||||
Depositing User: | Edelin Fortuna a | ||||||||||||
Date Deposited: | 19 Sep 2025 03:43 | ||||||||||||
Last Modified: | 19 Sep 2025 03:43 | ||||||||||||
URI: | https://repository.upnjatim.ac.id/id/eprint/43798 |
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