Implementasi Bayesian Optimization dalam Perbandingan Fuzzy C-Means dan Possibilistic C-Means Untuk Klasterisasi Indeks Pembangunan Manusia Kabupaten/Kota Di Provinsi Jawa Timur Tahun 2023

Taviani, Lativa Yulia (2025) Implementasi Bayesian Optimization dalam Perbandingan Fuzzy C-Means dan Possibilistic C-Means Untuk Klasterisasi Indeks Pembangunan Manusia Kabupaten/Kota Di Provinsi Jawa Timur Tahun 2023. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

This study aims to compare the performance of the Fuzzy C-Means (FCM) and Possibilistic C-Means (PCM) algorithms in clustering the Human Development Index (HDI) at the district/city level in East Java Province for the year 2023. The HDI data were obtained from the East Java Central Bureau of Statistics and were processed through data preprocessing stages, including handling missing values, detecting and addressing outliers, and normalization using Z-Score. Clustering was performed by selecting optimal parameters, such as the number of clusters and fuzzy weighting, through Bayesian Optimization. The clustering quality was evaluated using the Partition Coefficient (PC), Partition Entropy (PE), and Modified Partition Coefficient (MPC) metrics. The results showed that PCM produced clearer partitions and had lower uncertainty levels compared to FCM, although FCM was superior in terms of computational speed. This research is expected to serve as a reference for regional development mapping and to support government decision-making.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Puspaningrum, Eva Yulia	NIDN0005078908	evapuspaningrum.if@upnjatim.ac.id
Thesis advisor	Junaidi, Achmad	NIDN0710117803	achmadjunaidi.if@unjatim.ac.id

Subjects:

T Technology > T Technology (General) > T58.6-58.62 Management Information Systems

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Unnamed user with email 21081010294@student.upnjatim.ac.id

Date Deposited:

19 Jun 2025 07:39

Last Modified:

19 Jun 2025 07:39

URI:

https://repository.upnjatim.ac.id/id/eprint/38610