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ANALISIS PERFORMA ROUTING OSPF PADA TOPOLOGI HYBRID STAR-MESH DAN TOPOLOGI TREE MENGGUNAKAN GNS3 Muhammad Naufal Musyaafa; Ayman Human Sukma; Sybil Auzi; Dedy Kiswanto
Jurnal Teknologi Informasi dan Komputer Vol. 11 No. 2 (2025): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi Oktober 2025
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v11i2.3784

Abstract

This research analyzes the performance comparison of OSPF (Open Shortest Path First) routing protocol on hybrid star-mesh topology and tree topology. Testing was conducted through simulation using GNS3 with Mikrotik routers configured with OSPF protocol. Performance parameters measured include throughput, jitter, delay, and packet loss. The results show that the hybrid star-mesh topology provides better performance, particularly in terms of delay with an average of 2.548 ms (15.46% faster compared to tree topology) and more stable jitter with an average of 3.193 ms (10.4% lower than tree topology). Meanwhile, both topologies showed relatively equivalent throughput with average values of 958 Kbits/s for hybrid star-mesh and 962.7 Kbits/s for tree, with no packet loss observed in either topology. Although the performance differences are not highly significant, the hybrid star-mesh topology proves superior in providing more responsive and consistent communication paths. This research provides comprehensive recommendations regarding the selection of optimal network topology for OSPF protocol implementation in the context of enterprise and educational network requirements.
Implementasi Otomatisasi Data Lifecycle Management (DLM) untuk Peningkatan Skalabilitas dan Keandalan Sistem Informasi Pemesanan Kelas Sybil Auzi; Atta Zulfahrizan; Dedi Kiswanto; Josua Tampubolon
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid growth of historical data in the class booking information system can significantly degrade performance, impacting system scalability and reliability. This research addresses the issue by designing and implementing an automated Data Lifecycle Management (DLM) framework. The primary objectives are: (1) to develop a functional automated DLM prototype using the Laravel framework and its task scheduler, and (2) to analyze how this implementation enhances system scalability and reliability. This study adopts a system implementation method by applying the seven stages of DLM, supported by a Dual Connection database architecture that separates operational data (Hot Storage) from historical archives (Cold Storage). The results demonstrate the successful implementation of all DLM stages, from data creation to automated deletion. The system automatically archives weekly transactional data and permanently deletes them after a retention period of one semester plus a 30-day grace period. Furthermore, a secure public API was developed to facilitate data sharing for academic purposes. The implementation of automated DLM proves effective in managing data lifecycle, reducing the burden on the primary database, and maintaining system performance, thereby ensuring better scalability and reliability.