Debouncing-Based Automated Network Failover System with Multi-Channel Real-Time Notifications

Febrian Wahyu Christanto; Samuel Vittorio Rivaldo; Firdaus Laia; Eryan Ahmad Firdaus

doi:10.31436/ijpcc.v12i2.705

Authors

Febrian Wahyu Christanto Department of Information Technology, Universitas Semarang, Semarang, Indonesia
Samuel Vittorio Rivaldo 1Department of Information Technology, Universitas Semarang, Semarang, Indonesia
Firdaus Laia Department of Computer Science, Universitas Nias Raya, South Nias, Indonesia
Eryan Ahmad Firdaus Department of Informatics, Indonesia Defense University, Bogor, Indonesia

DOI:

https://doi.org/10.31436/ijpcc.v12i2.705

Keywords:

Failover System, Network Monitoring, MikroTik, Debouncing Mechanism, Real-time Notification

Abstract

Network availability has become a critical requirement for business operations that rely heavily on stable internet connectivity. However, many small and medium-scale operational environments still depend on a single Internet Service Provider (ISP), resulting in service interruptions and prolonged recovery time when network failures occur. This research proposes a debouncing-based automated network failover system integrated with multi-channel real-time notifications using Telegram Bot and email services. The system was implemented on a MikroTik RouterOS platform using Netwatch, Scheduler, and automated scripting mechanisms to detect connectivity failures, perform route switching, and deliver status notifications. Unlike conventional failover implementations, the proposed system applies a debouncing-based anti-flapping mechanism and edge-triggered notification logic to improve failover stability and reduce redundant alerts caused by transient network disruptions. The development process followed the PPDIOO (Prepare, Plan, Design, Implement, Operate, and Optimize) methodology. Experimental results showed that the proposed system achieved an average failover recovery time of 4.2 seconds, while Telegram and email notification delays averaged 2.22 seconds and 8.61 seconds, respectively. Optimization of connection tracking and session handling further improved effective client-side recovery during ISP transitions. The implementation successfully reduced recovery dependency on manual administrator intervention and improved network service continuity in operational environments. The proposed framework demonstrates that integrating debouncing-based failover control with multi-channel notifications can significantly enhance network reliability and operational responsiveness in small-to-medium business infrastructures.

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