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All Journal Jurnal Cita Hukum JUITA : Jurnal Informatika Jurnal Hukum Novelty Sriwijaya Law Review JOIV : International Journal on Informatics Visualization Jurnal Ilmiah Hukum LEGALITY AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat DE LEGA LATA: Jurnal Ilmu Hukum Jurnal Pengabdian Hukum Indonesia (Indonesian Journal of Legal Community Engagement) JPHI Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Jurnal Yudisial JURNAL HUKUM dan KENOTARIATAN Indonesian Comparative Law Review JHCLS Audito Comparative Law Journal (ACLJ) Jurnal Dedikasi Hukum Jurnal Medika Mengabdi Jurnal Pengabdian Hukum Indonesia
Nur Putri Hidayah
Universitas Muhammadiyah Malang
Religion Humanities Computer Science & IT Decision Sciences, Operations Research & Management Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Text Summarization on Verdicts of Industrial Relations Disputes Using the Cross-Latent Semantic Analysis and Long Short-Term Memory Wicaksono, Galih Wasis; Hakim, Muhammad Nafi Maula; Hayatin, Nur; Hidayah, Nur Putri; Sari, Tiara Intana
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.2052

Abstract

The information presented in the documents regarding industrial relations disputes constitutes four legal disputes. However, too much information leads to difficulty for readers to find essential points highlighted in industrial relations dispute documents. This research aims to summarize automated documents of court decisions over industrial relations disputes with permanent legal force. This research involved 35 documents of court decisions obtained from Indonesia’s official Supreme Court website and employed an extractive summarization approach to summarize the documents by utilizing Cross Latent Semantic Analysis (CLSA) and Long Short-Term Memory (LSTM) methods. The two methods are compared to obtain the best results CLSA was employed to analyze the connection between phrases, requiring the ordering of related words before they were converted into a complete summary. Then, the use of LSTM is combined with the Attention module to decoder and encoder the information entered so that it becomes a form that can be understood by the system and provides a variety of splitting of documents to be trained and tested to see the highest performance that the system can generate. The research has found out that the CLSA method gave a precision of 79.1%, recall score of 39.7%, and ROUGE-1 score of 50.9%, and the use of LSTM was able to improve the performance of the CLSA method with the results obtained 93.6%, recall score of 94.5 %, and ROUGE-1 score of 93.9% on the variation of splitting 95% training and 5% testing.
English English Muhammad Hariz Faizul Anwar; Nizam Avif Anhari; Galih Wasis Wicaksono; Nur Putri Hidayah
JUITA: Jurnal Informatika JUITA Vol. 14 Issue 1, March 2026
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v14i1.28345

Abstract

This paper presents Legal-Case LLM, an open-source, fine-tuned language model tailored for Indonesian human-trafficking jurisprudence. General-purpose large language models exhibit high fluency but risk factual hallucination and limited jurisprudential fidelity when applied to legal texts. The objective is to develop a reproducible model that improves factual recall, legal terminology use, and jurisprudential alignment for Indonesian trafficking cases. Methods: We assembled a curated corpus of 400 court decisions from the Direktori Putusan Mahkamah Agung, extracted structured metadata and summaries, and generated question–answer pairs via large models followed by multi-stage cleaning and expert validation. We fine-tuned open models from the LLaMA family variants using parameter-efficient techniques (LoRA), evaluated with automatic metrics (ROUGE, BLEU, BERTScore, BARTScore), and a focused qualitative audit. Results: The fine-tuned model demonstrates marked improvements in content recall and semantic alignment versus zero-shot baselines, produces more jurisprudentially aligned phrasing (accurate use of terms such as amar putusan, Majelis Hakim, and percobaan), and reduces hallucination propensity in statute-related outputs. Conclusion and impact: Legal-Case LLM offers a reproducible, transparent tool to assist legal practitioners and researchers in Indonesia, while emphasising human-in-the-loop verification and citation-matching to ensure legal reliability and ethical deployment.
Metaverse Ruang Sidang Semu Mahkamah Konstitusi: Transformasi Digital Pendidikan Hukum di Fakultas Hukum Universitas Muhammadiyah Sumatera Utara: Metaverse of the Constitutional Court's Courtroom: Digital Transformation of Legal Education at the Faculty of Law, University of Muhammadiyah North Sumatra Hidayah, Nur Putri; Wicaksono, Galih Wasis; Faisal; Ismail Koto
Jurnal Dedikasi Hukum Vol. 5 No. 1 (2025): April 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jdh.v5i1.39554

Abstract

Pendidikan hukum di perguruan tinggi sering kali menghadapi kendala dalam menyediakan fasilitas ruang sidang semu Mahkamah Konstitusi yang memadai. Keterbatasan infrastruktur fisik dan biaya tinggi menjadi hambatan utama dalam memberikan pengalaman praktis kepada mahasiswa hukum. Akibatnya, mahasiswa kesulitan mendapatkan pemahaman yang mendalam dan pengalaman langsung tentang proses persidangan Mahkamah Konstitusi, yang esensial dalam pembelajaran hukum, salah satunya di Fakultas Hukum Universitas Muhammadiyah Sumatera Utara. Teknologi Metaverse dapat menjadi solusi inovatif untuk menciptakan ruang sidang semu Mahkamah Konstitusi secara virtual. Melalui platform Metaverse, mahasiswa dapat berpartisipasi dalam simulasi persidangan yang realistis dan interaktif tanpa memerlukan ruang fisik yang besar atau biaya tinggi. Teknologi ini memungkinkan mahasiswa untuk berlatih dalam lingkungan yang aman dan fleksibel, memperkuat pemahaman mereka tentang prosedur hukum dan meningkatkan keterampilan praktis mereka, tanpa dibatasi ruang dan waktu. Kegiatan pengabdian ini akan dimulai dengan tahap perencanaan dan pengembangan platform Metaverse dan menyusun panduan penggunaan metaverse. Langkah selanjutnya adalah pelatihan yang akan diberikan kepada dosen dan instruktur di Fakultas Hukum Universitas Muhammadiyah Sumatera Utara. Selanjutnya dilakukan tahapan evaluasi untuk mengukur efektivitas penggunaan aplikasi. Hasil evaluasi menunjukan penggunaan metaverse sangat dimungkinkan di Fakultas Hukum Universitas Muhammadiyah Sumatera Utara, karena adanya dukungan sarana, prasarana, pelatihan yang telah dilakukan melalui kegiatan pengabdian ini, dan sumber daya manusia yang mumpuni untuk menggunakan platform Metaverse Ruang Sidang Semu Mahkamah Konstitusi.   Legal education at the university level often encounters challenges in providing adequate facilities for a mock Constitutional Court courtroom. Limitations in physical infrastructure and high operational costs serve as major obstacles in delivering practical learning experiences for law students. As a result, students face difficulties in gaining comprehensive understanding and firsthand experience of Constitutional Court proceedings—an essential component of legal education, including at the Faculty of Law, Universitas Muhammadiyah Sumatera Utara. Metaverse technology offers an innovative solution to create a virtual mock courtroom for the Constitutional Court. Through a Metaverse platform, students can engage in realistic and interactive trial simulations without the need for large physical spaces or high costs. This technology enables students to practice in a safe and flexible environment, thereby strengthening their understanding of legal procedures and enhancing their practical skills, unconstrained by physical limitations of space and time. This community service activity begins with the planning and development of the Metaverse platform, alongside the preparation of user guidelines. The next stage involves training for lecturers and instructors at the Faculty of Law, Universitas Muhammadiyah Sumatera Utara. An evaluation phase follows, aimed at measuring the effectiveness of the platform's implementation. The results indicate that the use of Metaverse is highly feasible at the Faculty of Law, supported by the availability of necessary facilities, the conducted training sessions under this program, and the competent human resources capable of utilizing the Virtual Constitutional Courtroom on the Metaverse platform.  
Co-Authors Abdul Kadir Abdul Kadir Jaelani Ahmad Dzaki Abidin Ahmad Faiz, Ahmad Ahmad Siboy Al asqalani, Sheila Fitria Al Sakinata, Annisa' Al-Fatih, Solahudin Aldi Malik Farhad AlFawwaz, Nauval Amanda Shifa Burhanuddinnisa Amiludin, Amiludin Andesti, Kiki Andreawana, Andreawana Anggraini, Putri Cahyaning Arcelia, Allysa Sonia Arifpadilah, Pajri Arsyi Manggali Arya Putra Arsyi Manggali Arya Putra Bayu Dwi Widdy Jatmiko Cholidah, - Christian Sri kusuma Aditya, Christian Sri kusuma Dandi Sanjaya David Pradhan Deni Alamsah Faisal Firjatullah, Muhamad Sulthan Fitria Esfandiari Hakim, Muhammad Nafi Maula HARIYANTO HARIYANTO Inda Rahadiyan, Inda Intana Sari, Tiara Isdian Anggraeny Karina Ghea Silvana Komariah Komariah Komariah Komariah Komariah Komariah Komariah Komariah Koto, Ismail Maharani Zalianty Mohammad Isrok Muafika, Siti Nurmala Lailatul Muhammad Bahrul Ulum Muhammad Hariz Faizul Anwar Nizam Avif Anhari Noor Prasetyo, Said Novilia Safitri Dewik Nur Fauzia Asmi Nur Hayatin Nur Islamiyah Puspasari Nur Oktaviana, Ulfah Nurpratama, Widya Lestari Ordelia Julayta Syahidah Perdana, Muhammad Ilham Putra, Arsyi Manggali Arya Quincy R. Cloet Ratri Novita Erdianti Saleha, Meisya Maulidina Samira Echaib Sari, Tiara Intana Sholahuddin Al-Fatih Sinta Amipatul Aisiyah Siregar, Santy Anjelyna Br. Siti Kunarti Torri Justiansyah Utami Putri Kinayungan Virga Dwi Efendi Wasis Wasis Wicaksono, Galih Wasis Yuda Munarko Yufis Azhar Yunus, Nur Rohim