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Analisis Dampak Route Summarization Terhadap Performa OSPF Multi-Area Menggunakan GNS3 MikroTik Muhammad Ilfan Asykuri; Zainal Arifin; Mochammad Faid
TIN: Terapan Informatika Nusantara Vol 7 No 3 (2026): August 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i3.10209

Abstract

Open Shortest Path First (OSPF) multi-area networks at medium to large scales face the problem of Link State Database (LSDB) bloat caused by uncontrolled Link State Advertisement (LSA) propagation, particularly when each subnet is individually advertised by the Area Border Router (ABR) across all network areas. This condition increases memory consumption, the computational load of the Shortest Path First (SPF) algorithm, and routing convergence delays. This study aims to quantitatively analyze the impact of applying route summarization on the ABR regarding the number of LSAs per type, LSDB size, routing table entries, convergence time, and CPU and memory utilization of MikroTik RouterOS CHR devices in an OSPF multi-area environment. The method employed is quantitative experimental with two controlled scenarios: without route summarization as a baseline and with route summarization on the ABR as the treatment condition. The topology was built on the GNS3 simulation platform using 12 MikroTik CHR routers distributed across three areas with 24 active subnets and 1,000 dummy prefixes. Results show that route summarization reduced Type-3 LSAs by 99.71%, decreased LSDB size by 99.32%, reduced routing table entries by 99.22%, lowered peak ABR CPU usage from 11.33% to 8.33%, and achieved perfect fault isolation on the Area 0 control plane with an average convergence time of 0.2 ms compared to 1,023 ms in the baseline condition. This study contributes practical guidelines for network administrators to optimize router memory utilization and accelerate convergence in multi-area network architectures.
Early Warning System (EWS) Kualitas Air Hidroponik Melon Berbasis IoT dan Sensor pH - TDS - Suhu Lilis Kurlina; Amalia Herlina; Zainal Arifin
TIN: Terapan Informatika Nusantara Vol 7 No 3 (2026): August 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i3.10231

Abstract

Dependence on handheld instruments in managing hydroponic melon cultivation at Tanjung Farm is a major constraint, as it is unable to detect changes in water conditions rapidly and continuously, thereby increasing the risk of crop failure due to delayed intervention. This study aims to develop an IoT (Internet of Things)-based nutrient solution quality monitoring system capable of measuring four water parameters in real-time, namely pH (potential of Hydrogen), TDS (Total Dissolved Solids), turbidity, and temperature, equipped with an automatic Early Warning System (EWS). The study adopted a Mixed Methods design with a prototype development approach conducted at Tanjung Farm during 2025–2026, involving 2 respondents consisting of the farm supervisor and farm manager as system end-users. The system was constructed using an ESP32 microcontroller as the central processing unit, four water quality sensor modules, a MySQL database for data archiving, and a web interface developed using the Laravel framework. Performance evaluation revealed that the pH sensor and DS18B20 temperature sensor achieved high precision with a 0% error rate compared to handheld measuring instruments, while the TDS sensor produced a 26.7% error attributed to the absence of a hardware temperature compensation module. Average data transmission latency from the microcontroller to the server was recorded at 5 seconds with EWS notification updates every 30 seconds. The resulting system successfully shifted conventional monitoring patterns toward an integrated digital solution operable remotely to maintain the productivity stability of hydroponic melon cultivation.