Azzahra, Adelia Ramadhina and Nabila, Nasywa Azzah (2026) Analisis Segmentasi Pengguna Layanan Disdukcapil Kota Surabaya Menggunakan Algoritma K-Prototypes. Project Report (Praktek Kerja Lapang dan Magang). Faculty of Computer Science, Surabaya.
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Abstract
The Surabaya City Population and Civil Registration Office (Disdukcapil) serves thousands of users every day who have diverse backgrounds and service needs. However, to date, services are still general in nature and not yet fully data-driven, making them less able to adapt to the varying needs of users. This issue results in less effective services. Based on this situation, this Field Work Practice (PKL) project aims to analyze the segmentation of Disdukcapil Surabaya City service users using the K-Prototypes algorithm, which can handle mixed-type data. The analysis process involves several stages, starting from data preprocessing, selecting the optimal number of clusters, to cluster modeling and interpreting the results. The dataset used includes information such as age, occupation, education level, and types of services accessed throughout 2024. The clustering results yielded four main clusters: highly educated productive-age users, young people with basic document needs, elderly users with mobility limitations, and users who serve as heads of households with needs for registering new family members. Based on these findings, the Surabaya City Population and Civil Registration Office can formulate more targeted policies. Overall, this project is expected not only to support the improvement of data-driven public service quality but also to serve as a practical learning tool for students to apply data analytics knowledge to real-world issues in the public sector.
| Item Type: | Monograph (Project Report (Praktek Kerja Lapang dan Magang)) | ||||||||||||
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| Subjects: | H Social Sciences > H Social Sciences (General) | ||||||||||||
| Divisions: | Faculty of Computer Science > Departemen of Data Science | ||||||||||||
| Depositing User: | Nasywa Azzah Nabila | ||||||||||||
| Date Deposited: | 09 Jul 2026 03:51 | ||||||||||||
| Last Modified: | 09 Jul 2026 03:51 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/54791 |
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