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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Techno.Com: Jurnal Teknologi Informasi Journal of Computer and Information CommIT (Communication & Information Technology) JUSIFO : Jurnal Sistem Informasi Proceeding of the Electrical Engineering Computer Science and Informatics International Journal of Artificial Intelligence Research INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Syntax Literate: Jurnal Ilmiah Indonesia Communications in Science and Technology Jurnal ULTIMA InfoSys JURNAL PENDIDIKAN TAMBUSAI ComTech: Computer, Mathematics and Engineering Applications Journal of Information Systems and Informatics Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Applied Data Sciences Innovative: Journal Of Social Science Research IJISCS (International Journal of Information System and Computer Science)
Benfano Soewito
Bina Nusantara University
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Video-based physical violence detection model for efficient public space surveillance Erick, Erick; Soewito, Benfano
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i1.pp161-170

Abstract

This study aims to develop an effective real-time model for detecting violence in public spaces, focusing on achieving a balance between accuracy and computational efficiency. We evaluate various model architectures, with the main comparison between the ConvLSTM2D and Conv3D models commonly used in video analysis to capture spatial and temporal features. The ConvLSTM2D model, combined with preprocessing layers such as change detection and motion blur, showed optimal performance, achieving 86% accuracy after Bayesian optimization. With a low parameter count of 25,137, this model enables fast inference in just 0.010 seconds, making it suitable for real-time applications that require efficient computation. In contrast, the Conv3D model, which is also combined with preprocessing layers such as change detection and motion blur and has more than nine million parameters, shows a lower accuracy of 77.5% as well as a slower inference time of 0.025 seconds, making it unsuitable for real-time applications. The results of this study show that the ConvLSTM2D model is promising for real-time violence detection systems in public spaces, where a fast and accurate response is essential to prevent further acts of violence.
Security Assessment Based on OWASP Top 10 Using SonarQube and ZAP on Export and Import Applications in the LNSW Wisnu, Muhammad; Soewito, Benfano
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.25294

Abstract

Background: The advancement of information and electronic systems has significantly transformed export and import processes. In Indonesia, the Lembaga National Single Window (LNSW) plays a pivotal role in facilitating international trade by integrating procedures and information related to exports, imports, and document flows. Objective: This study aims to assess the security of LNSW’s export and import application by identifying vulnerabilities based on the Open Web Application Security Project (OWASP) Top 10 framework. It also compares the effectiveness of Static Application Security Testing (SAST) using SonarQube and Dynamic Application Security Testing (DAST) using ZAP (Zed Attack Proxy) in detecting various types of vulnerabilities. Methods: The analysis involved the use of SonarQube for source code scanning and ZAP for runtime testing. Each detected vulnerability was evaluated using the Common Vulnerability Scoring System (CVSS) to determine its severity level. Recommended mitigation strategies were provided accordingly. Results: A total of eight vulnerabilities were identified, comprising two High-severity and six Medium-severity issues. SonarQube proved more effective in detecting Identification and Authentication Failures (three instances), while ZAP excelled in identifying Vulnerable and Outdated Components (two instances). Notably, each tool uncovered four unique types of vulnerabilities that the other did not detect. Conclusion: These findings highlight the practical benefits of combining SAST and DAST techniques. By integrating both approaches, organizations can achieve a more comprehensive and reliable security assessment, ultimately leading to more resilient software systems. 
Co-Authors Afdhani, Rizqi Anhar, Muhammad Fariz Berkah I. Santoso Cahyadi, Kevin Candra, Sevenpri Candra, Sevenpri Candra, Sevenpri Cosmas E. Suharyanto Deny Wicaksono, Deny Desfiandi, Ardhana Devia, Anne Diana Diana Diana, Diana Echo Wahana Marciano Simanjuntak, Echo Wahana Marciano Eka Yulisuyanti Erick, Erick Fergyanto E. Gunawan Fergyanto E. Gunawana Ford Lumban Gaol Ford Lumban Gaol, Ford Lumban Gunawana, Fergyanto E. Hapsara, Manik Hoa, Jeffrey Jason Timotius Purwoko Jeffrey Hoa Kartowisastro, Iman Herwidiana Kusuma Atmaja, Wahyu Haris Manik Hapsara Mansuan, Melki Sadekh Melki Sadekh Mansuan Muhammad Zarlis, Muhammad Oky Wijaya Pahlevi, Mohammad Dian Panggabean, Utama Hasiolan Patricia Citranegara Kusuma Pohan, Mara Muda Pratiwi, Heni Ispur Purnaresa Yuliartanto Putra, Ferlan Gisma Raymond Sunardi Oetama Riftiarrasyid, Mohammad Faisal Sani Muhamad Isa Sani Muhamad Isa, Sani Muhamad Sani Muhammad Isa, Sani Muhammad Satriawan, Marchand Sevenpri Candra Suharyanto, Cosmas E. Taurean Orlin Wingardi Wanandi, Krisantus Wardhani, Widiastuti Kusumo Warnars, Harco Leslie Hendric Spits Widodo Budiharto Wijaya, Oky wisnu, muhammad