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All Journal International Journal of Informatics and Communication Technology (IJ-ICT) Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) 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 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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Cloud-based control system: a bibliometric analysis Santo Wijaya; Harco Leslie Hendric Spits Warnars; Ford Lumban Gaol; Benfano Soewito
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 6: December 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i6.23666

Abstract

Network control system (NCS) approaches for distributed closed-loop control systems have been established in industrial control. However, recent advancements in cloud computing provide scalable, elastic, and low-cost networked computing capabilities over the internet, which can be utilized as an extension of NCS, in this term, cloud-based control systems (CCS) with a potential replacement of the controller. The main objective of this research is to use bibliometric analysis to obtain insight into diachronic productivity, the significant effect of the published information on the research network, and research trends based on term co-occurrences of the CCS domain. The literature study employs the PRISMA method to construct necessary inclusion criteria such as keywords, databases, publication year, accessibility, and primary article, then Publish or Perish is used to generate RIS formatted file for network analysis of co-authorship and term co-occurrence with VOSviewer. The results showed that Yuanqing Xia was the most prolific author in terms of the total published article and total citations received, China was the country with the highest publication output, and Elsevier was the publisher with the most significant impact factor. CCS emerged in 2012, and current research trends include control system architecture, controller, algorithm, stability, and approach on intelligent manufacturing.
Video-based physical violence detection model for efficient public space surveillance Erick Erick; Benfano Soewito
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.
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 Santo Wijaya Satriawan, Marchand Sevenpri Candra Suharyanto, Cosmas E. Taurean Orlin Wingardi Wanandi, Krisantus Wardhani, Widiastuti Kusumo Warnars, Harco Leslie Hendric Spits Widodo Budiharto Wijaya, Oky