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Danang
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Kampus Universitas Sains & Teknologi Komputer Address: Jl. Majapahit No.605, Pedurungan Kidul, Kec. Pedurungan, Kota Semarang, Jawa Tengah 50192
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INDONESIA
Jaksa: Jurnal Kajian Ilmu Hukum Dan Politik
ISSN : 29887747     EISSN : 29885140     DOI : 10.51903
Core Subject : Humanities, Social,
Sub Rumpun ILMU POLITIK 1 Ilmu Politik 2 Kriminologi 3 Hubungan Internasional 4 Ilmu Administrasi (Niaga, Negara, Publik, Pembangunan, Dll) 5 Kriminologi 6 Ilmu Hukum 7 Ilmu Pemerintahan 8 Ilmu Sosial dan Politik 9 Studi Pembangunan (Perencanaan Pembangunan, Wilayah, Kota) 10 Ketahanan Nasional 11 Ilmu Kepolisian 12 Kebijakan Publik 13 Bidang Ilmu Politik Lain Yang Belum Tercantum Sub Rumpun ILMU SOSIAL 1 Ilmu Kesejahteraan Sosial 2 Sosiologi 3 Humaniora 3 4 Kajian Wilayah (Eropa, Asia, Jepang, Timur Tengah Dll) 5 Arkeologi 6 Ilmu Sosiatri 7 Kependudukan (Demografi, dan Ilmu Kependudukan Lain) 8 Sejarah (Ilmu Sejarah) 9 Kajian Budaya 10 Komunikasi Penyiaran Islam 11 Ilmu Komunikasi 12 Antropologi 13 Bidang Sosial Lain Yang Belum Tercantum
Articles 201 Documents
Tipologi Argumentasi Jaksa dalam Tuntutan Perkara Kekerasan Seksual: Analisis Corpus Hukum Berbasis Natural Language Processing Sri Yulianingsing; Sumaryanto Sumaryanto; Suprapti Suprapti
Jaksa : Jurnal Kajian Ilmu Hukum dan Politik Vol. 4 No. 3 (2026): JULI: Jurnal Kajian Ilmu Hukum dan Politik (JAKSA)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/mqf75z71

Abstract

This study examines the typology of prosecutorial argumentation in sexual violence cases by integrating legal analysis with  Natural Language Processing  (NLP) to identify reasoning patterns embedded in prosecutorial indictments. Existing studies in computational legal research predominantly focus on judicial decisions, while empirical analysis of prosecutorial reasoning remains limited. Addressing this gap, the study proposes a computational approach to analyze prosecutorial arguments as a legal corpus. A qualitative empirical legal design was employed using prosecutorial indictments as the primary data source. The corpus was analyzed through text preprocessing,  Term Frequency–Inverse Document Frequency  (TF–IDF), topic modeling, clustering, and argument mining to identify linguistic patterns and argument structures. The findings reveal four dominant typologies of prosecutorial argumentation: legalistic argumentation, evidence-centered argumentation, victim-oriented argumentation, and integrative argumentation. These typologies demonstrate that prosecutorial reasoning extends beyond formal legal compliance by incorporating evidentiary strength and victim protection into a coherent argumentative framework. The study contributes to the development of computational legal studies by introducing a   computational typology of prosecutorial reasoning  , which integrates legal argumentation theory with NLP-based corpus analysis. The findings also provide practical implications for improving prosecutorial quality assurance, developing AI-assisted prosecution analytics, and supporting transparent and evidence-based prosecutorial decision-making through explainable artificial intelligence.