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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) snimed Jurnal Teknoin SITEKIN: Jurnal Sains, Teknologi dan Industri Sistemasi: Jurnal Sistem Informasi Jurnal CoreIT Communications in Science and Technology Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat ComTech: Computer, Mathematics and Engineering Applications Refleksi Pembelajaran Inovatif Automata Jurnal Teknik Informatika (JUTIF) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jurnal Locus Penelitian dan Pengabdian Khazanah: Jurnal Mahasiswa Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK)
Elyza Gustri Wahyuni
Jurusan Teknik Informatika Fakultas Teknologi Industri Universitas Islam Indonesia
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Journal : Jurnal Teknik Informatika (JUTIF)

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The Role Of A Decision Support System In Enhancing The Management Of Sexual Violence Cases In Higher Education Using The Saw Method Through An Android-Based Application Wahyuni, Elyza Gustri; Wahyudi, Rian Tri; Fadhillah, Lalam Fathonah
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 3 (2025): JUTIF Volume 6, Number 3, Juni 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.3.4761

Abstract

The rising prevalence of sexual violence in higher education institutions demands urgent attention, highlighting the need for an efficient and responsive reporting system. Android-based applications for reporting sexual violence play a vital role in addressing this issue. This research proposes an application designed to provide ease of access and usability, enabling victims or witnesses to promptly submit reports supported by video, audio, and real-time GPS data. Such empirical evidence increases the likelihood of successful follow-up actions and strengthens legal claims against perpetrators. Timely responses are especially critical for the Sexual Violence Prevention and Handling Task Force (PPKS) to mobilize campus security teams effectively and reduce long-term trauma experienced by victims. An integral component of the application is a Decision Support System (DSS) that utilizes the Simple Additive Weighting (SAW) method to assess the severity of reported cases—categorized into mild, moderate, or severe. This system facilitates faster and more accurate decision-making during the investigation and handling phases. Functional and case testing resulted in 100% success, aligning perfectly with manual calculations and real-world scenarios. The urgency of this research lies in the pressing need for a reporting system that is not only reactive but also proactive in preventing sexual violence. The application demonstrates strong potential to support systemic reform in campus reporting mechanisms, enhance victim trust in reporting processes, and shift the paradigm from reactive intervention to preventive action. Ultimately, this research contributes to building a safer, more responsive, and survivor-centered campus environment.
Co-Authors Adhin Alifarchan Aditya, Silfa Kurnia Ahmad Syahriza Ramadhan Anggraini, Nadia Rahmi Nur Aswal Chusnan Widodo Athiya Mutiara Denasfi Baharuddin, Mohd Hafiz Erna Retno Wukiratun Fadhillah Abriyani Fadhillah, Lalam Fathonah Farhan Mozart Aditya Fahreza Fatimah Shalehah Fayruz Rahma Firman Kurnianto Joko Susilo Karimah, Karimah Kholid Haryono Kurniawan, Ricky Linda Rosita Lizda Iswari Maria Ulfa Muhammad Zufar Al Rafif Nadya Khairunnisa Nikmah, Za Idatin Nurul Fatikah Muchlis Pratiwi, Anis Prinanda, Zetram Adhitya Putra, Arya Nanda Mahardika Ramadhan, Ahmad Syahriza Ramadhana Bagus Solichuddin Sri Kusumadewi sri mulyati Tamiri, Muhammad Husni Tito Yuwono, Tito Trisdiatin, Sausan Vedamurti Nuur Anisah Wahyudi, Rian Tri Widodo Prijodiprodjo Wijoyo Budi Prasetyo Zhivomirov, Hristo