Klasifikasi Kasus Kekerasan Perempuan di Kabupaten Jember Menggunakan Latent Dirichlet Allocation dan Zero-Shot Classification

Aqilah, Athaya (2025) Klasifikasi Kasus Kekerasan Perempuan di Kabupaten Jember Menggunakan Latent Dirichlet Allocation dan Zero-Shot Classification. Undergraduate thesis, UPN Veteran Jawa Timur.

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Abstract

This study aims to classify cases of violence against women in Jember Regency using Latent Dirichlet Allocation (LDA) and Zero-Shot Classification (ZSC). The dataset consisted of 300 narrative reports collected from the Department of Women’s Empowerment, Child Protection, and Family Planning (DP3AKB) of Jember during 2018–2024. The research process involved text preprocessing, topic modeling with LDA, and classification using ZSC based on XLM-RoBERTa. The evaluation results indicate that LDA successfully generated 16 main topics with the best coherence score of 0.65, reflecting patterns of physical, psychological, sexual, and verbal violence. Meanwhile, ZSC effectively classified documents into four violence categories, achieving an accuracy of 90%, precision of 90%, recall of 90%, and an F1-score of 90%. These findings demonstrate that the integration of LDA and ZSC is effective in supporting local agencies to systematically manage violence reports and provide a reliable foundation for developing a web-based analytical system to strengthen women’s protection policies at the regional level.

Item Type:

Thesis (Undergraduate)

Contributors:

Contribution	Contributors	NIDN/NIDK	Email
Thesis advisor	Anggraeny, Fetty Tri	NIDN0711028201	fettyanggraeny.if@upnjatim.ac.id
Thesis advisor	Al Haromainy, M. Muharrom	NIDN199506012022031006	muhammad.muharrom.if@upnjatim.ac.id

Subjects:

Q Science > QA Mathematics > QA76.6 Computer Programming

Divisions:

Faculty of Computer Science > Departemen of Informatics

Depositing User:

Athaya Aqilah

Date Deposited:

15 Sep 2025 06:34

Last Modified:

18 Sep 2025 03:28

URI:

https://repository.upnjatim.ac.id/id/eprint/43552