Qalbi, Naila Mughnifa (2026) KLASTERISASI KABUPATEN/KOTA DI JAWA TIMUR BERDASARKAN FAKTOR RISIKO PENULARAN TUBERKULOSIS MENGGUNAKAN FUZZY GUSTAFSON KESSEL DENGAN VALIDITAS MODIFIED PARTITION COEFFICIENT (MPC). Undergraduate thesis, UNIVERSITAS PEMBANGUNAN NASIONAL VETERAN JAWA TIMUR.
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Abstract
Tuberculosis (TB) is an infectious disease in Indonesia that continues to increase and poses a challenge for the government in reducing the incidence of the disease. In 2024, Indonesia ranked second in the world with 1,090,000 tuberculosis cases. East Java Province is among the regions with the highest number of cases and ranked third with a total of 88,733 cases. However, the case detection rate in the region has decreased. This condition indicates the need for a more targeted disease control strategy. This study aims to group 38 districts/cities in East Java Province based on tuberculosis risk factors, namely the number of HIV sufferers, diabetes mellitus sufferers, toddlers with malnutrition, population density, number of male residents, number of poor residents, and number of smokers aged 15–64 years. Clustering was carried out using the Fuzzy Gustafson-Kessel (FGK) method with the Mahalanobis distance approach, to form clusters based on data characteristics with different distribution patterns. Based on the results of testing several clusters, the optimal number of clusters was 3 clusters with a Modified Partition Coefficient (MPC) value of 0.7613, and a Partition Entropy (PE) of 0.3198. The clustering results showed that cluster 2 was categorized as high priority with 15 regions as members, cluster 1 was categorized as medium priority with 11 regions as members. Meanwhile, cluster 3 was categorized as low priority with 12 regions. In addition, the Fuzzy Gustafson Kessel method was successfully implemented in the form of a web-based Graphical User Interface (GUI), so that the process of data upload, data exploration, clustering, interpretation of results, and map visualization could be done in a more structured and interactive manner.
| Item Type: | Thesis (Undergraduate) | ||||||||||||
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| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics |
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| Divisions: | Faculty of Computer Science > Departemen of Data Science | ||||||||||||
| Depositing User: | naila mughnifa qalbi | ||||||||||||
| Date Deposited: | 08 Jul 2026 03:48 | ||||||||||||
| Last Modified: | 08 Jul 2026 03:48 | ||||||||||||
| URI: | https://repository.upnjatim.ac.id/id/eprint/54764 |
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