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All Journal International Journal of Community Service
Boy Firmansyah
Department of Informatics Engineering, Faculty of Computer Science, Institute of Business and Informatics Kosgoro 1957, Jakarta, Indonesia
Religion Humanities Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Artificial Intelligence-Based Network Monitoring System Training for Computer and Telecommunication Network Engineering Students at SMK Cipta Insani Mandiri Depok Johan Bastari; Rino Subekti; Astried Silvanie; Boy Firmansyah; Dwi Sidik Permana; Rahmat Jaya
International Journal Of Community Service Vol. 6 No. 3 (2026): August 2026 ( Indonesia - Thailand)
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijcs.v6i3.1006

Abstract

The increasing adoption of Artificial Intelligence (AI) in network management requires vocational students to possess competencies that align with current industry demands. However, students of the Computer and Telecommunications Network Engineering (TJKT) program at SMK Cipta Insan Mandiri Depok have limited experience in utilizing AI-based network monitoring systems.[1] Therefore, a community service program was conducted to improve students’ knowledge and practical skills in intelligent network monitoring. The program was implemented through three stages: preparation, training, and evaluation. Training activities included theoretical sessions, hands-on practice using network monitoring tools, and the application of AI for network traffic analysis and anomaly detection. Evaluation was carried out through pre-tests, post-tests, and participant feedback. The results showed an improvement in students’ understanding of network monitoring concepts and their ability to utilize AI-assisted monitoring tools. Participants also demonstrated positive engagement and satisfaction throughout the training activities. This program successfully enhanced students’ competencies in AI-based network monitoring and contributed to their readiness for the increasingly automated and technology-driven networking industry.
Co-Authors Astried Silvanie Dwi Sidik Permana Johan Bastari Rahmat Jaya Rino Subekti