Mukh. Taofik Chulkamdi
Universitas Islam Balitar

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Network Disruption Alert and Logging Information System at the Department of Population and Civil Registration of Tulungagung Regency (SISTA GARDU) Aditya Pratama Nugraha; Mukh. Taofik Chulkamdi; Wahyu Dwi Puspitasari
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 2 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i2.3538

Abstract

The utilization of information technology has become a crucial element in the operations of contemporary organizations for efficiently managing data volumes. Public services at the Tulungagung Regency Department of Population and Civil Registration highly depend on internet network infrastructure stability. Unpredictable network connectivity disruptions often cause delays in processing public population administration documents. Therefore, this study aims to design, build, and test a Network Disruption Warning and Recording Information System. This research applies the Research and Development method through a waterfall approach, including requirement analysis, system design, implementation, and testing. Developers built this software using the Laravel framework and MySQL database, operating it on a virtual private server infrastructure. This system presents significant novelty by simultaneously integrating connection downtime history recording functions and distributing instant warning notifications via a WhatsApp gateway. Based on evaluation results, black box testing demonstrated a one hundred percent success rate across all operational features. Furthermore, expert testing and user acceptance testing sequentially obtained feasibility percentages of 92.59% and 95.33%, categorized as Highly Feasible. This warning system operates optimally to mitigate various technical network constraints. For future research, the author recommends expanding the system's monitoring range to all end-point hardware devices and improving algorithms to detect intermittent network disruptions.