Implementasi Particle Swarm Optimization-Fuzzy C-Means untuk Klasterisasi Kabupaten/Kota di Provinsi Jawa Timur berdasarkan Indikator STBM

Razali, Ananda Azra (2025) Implementasi Particle Swarm Optimization-Fuzzy C-Means untuk Klasterisasi Kabupaten/Kota di Provinsi Jawa Timur berdasarkan Indikator STBM. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

Community-Based Total Sanitation (STBM) is a national program aimed at improving public health through clean and healthy living behaviors. In East Java Province, the achievements of STBM indicators vary across regions,necessitating an analysis capable of mapping sanitation conditions between districts and municipalities. This study applies the Fuzzy C-Means (FCM) and Particle Swarm Optimization–Fuzzy C-Means (PSO-FCM) methods to cluster districts/cities based on six STBM indicators. The data were obtained from the East Java Provincial Health Office for the years 2022–2023 and processed through variable selection, Min–Max normalization, cluster center optimization using PSO, and clustering using FCM. Cluster quality evaluation was conducted using Partition Entropy (PE), Partition Coefficient (PC), and Modified Partition Coefficient (MPC). The results show that PSO-FCM with the configuration of c = 2, m = 1.5, and a swarm size of 150 produced higher PC and MPC values as well as lower PE values compared to standard FCM, thereby generating clearer, more stable, and more representative clusters. These findings indicate that integrating PSO can enhance the performance of FCM in mapping sanitation conditions, and the resulting clusters can be used as a reference in determining priority intervention areas for STBM in East Java.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Puspaningrum, Eva Yulia	NIDN0005078908	evapuspaningrum.if@upnjatim.ac.id
Thesis advisor	Wahanani, Henni Endah	NIDN0022097811	henniendah.if@upnjatim.ac.id

Subjects:

T Technology > T Technology (General)

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Ananda Azra Razali

Date Deposited:

04 Dec 2025 07:31

Last Modified:

04 Dec 2025 07:31

URI:

https://repository.upnjatim.ac.id/id/eprint/47868