Brilliance: Research of Artificial Intelligence
Vol. 6 No. 3 (2026): Brilliance: Research of Artificial Intelligence, Article Research August 2026

Analysis and Simulation of OSPF Dynamic Routing on RRI Lhokseumawe Network

Nanda Sitti Nurfebruary (Malikussaleh University, Indonesia)
Rosmida Rosmida (Malikussaleh University, Indonesia)
Fidyatun Nisa (Malikussaleh University, Indonesia)
Muhammad Ikhwani (Malikussaleh University, Indonesia)



Article Info

Publish Date
18 Aug 2026

Abstract

The development of modern broadcasting technology in public institutions demands a highly reliable computer network infrastructure to guarantee continuous information dissemination. This study analyzes the network reliability at Public Broadcasting Institution Radio Republik Indonesia LPP RRI Lhokseumawe to ensure smooth real time broadcast data transmission through route optimization. The main issue in the existing network is its conventional flat network architecture, which is vulnerable to data traffic congestion and delays during peak activity. To resolve this, this study implements Open Shortest Path First OSPF Area zero dynamic routing combined with Virtual LAN segmentation on Cisco Packet Tracer. Testing was performed using a simulated traffic generator under extreme scenarios involving fifteen end user devices sending one hundred consecutive packets simultaneously in zero point one second intervals. Results prove that under extreme conditions, the existing network experiences severe performance degradation with a global average Packet Loss soaring to nineteen percent due to local congestion. Conversely, the new topology based on OSPF Area zero and VLAN segmentation successfully directs data distribution intelligently and dampens broadcast storms within each logical work zone, suppressing the average Packet Loss to an absolute zero percent. In conclusion, applying OSPF and VLAN protocols automatically converges routes, improves Quality of Service stability, and protects critical broadcasting operations from total paralysis risks.

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Journal Info

Abbrev

brilliance

Publisher

Subject

Decision Sciences, Operations Research & Management Mathematics Other

Description

Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest ...