Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Jusikom : Jurnal Sistem Komputer Musirawas
M. Tsabat Muhyiyuddin
Universitas Negeri Medan, Medan
Computer Science & IT

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
PENGEMBANGAN DASHBOARD MONITORING JARINGAN BERBASIS WEB Sevta Triwana Simamora; Farizky Aulia Lubis; Dedi Kiswanto; M. Tsabat Muhyiyuddin
Jusikom : Jurnal Sistem Komputer Musirawas Vol. 11 No. 1 (2026): Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v11i1.3213

Abstract

The increasing complexity of network infrastructure requires monitoring systems capable of performing effective and real-time monitoring. Delayed fault detection, difficulties in monitoring multiple devices, and the lack of automated anomaly detection remain significant challenges for network administrators. This study aims to develop a web-based network monitoring dashboard capable of real-time device monitoring, network anomaly detection, and automatic notification delivery. The research employed a Research and Development (R&D) method with a prototyping approach. The system was developed using React, Node.js, Express, and MySQL, supported by ICMP Ping, TCP Port Check, HTTP Check, and API Check monitoring methods. Anomaly detection was implemented using the Z-Score method based on historical data, while real-time notifications were delivered through the Telegram Bot API. The results show that the system successfully displays network metrics, including latency, jitter, packet loss, success rate, and uptime in real time. Testing produced a Z-Score value of 4.78, exceeding the anomaly threshold (Z > 3), indicating successful latency anomaly detection. The system also calculates outage risk as an indicator of potential disruptions and sends notifications for offline conditions, high latency, and network anomalies. Therefore, the developed system improves monitoring effectiveness and accelerates network fault handling.
Co-Authors Dedi Kiswanto Farizky Aulia Lubis Sevta Triwana Simamora