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All Journal JUTIK : Jurnal Teknologi Informasi dan Komputer Jurnal Informatika Dan Tekonologi Komputer
Sybil Auzi
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Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Social Sciences Other

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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.
Sistem Jemuran Otomatis Berbasis Deteksi Visual dan Sensor Hujan dengan ESP32 Muhammad Rizki Andrian Fitra; Neysa Talitha Jehian; Sybil Auzi; Thania Dealva Arsyad; Hermawan Syahputra
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 2 (2025): Juli : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i2.6597

Abstract

Unpredictable weather in tropical regions often disrupts clothes drying activities, as sudden rain can cause clothes to become wet again. To address this issue, this study developed an automatic clothes drying system based on ESP32-CAM that can detect weather conditions using two main methods: sky image analysis and rain sensors. The system periodically captures sky images using the ESP32-CAM camera, then analyzes the brightness and contrast of the images to determine weather conditions, with brightness thresholds < 100 and contrast > 30 indicating cloudy weather. Data from the rain sensor is used as additional verification to enhance system accuracy. The decision-making logic combines both data sources to determine whether the clothesline should be retracted or left open. Offline image classification results show an accuracy of 93.67%, while direct testing against 10 weather scenarios yields a system accuracy of 100%. With its high performance and adaptive response to weather changes, this system demonstrates significant potential for implementation as an Internet of Things (IoT)-based home automation solution.
Co-Authors Ayman Human Sukma Dedy Kiswanto Hermawan Syahputra Muhammad Naufal Musyaafa Muhammad Rizki Andrian Fitra Neysa Talitha Jehian Thania Dealva Arsyad