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Implementasi Secure Tunnel pada Peering BGP untuk Mitigasi Serangan Man-in-the-Middle di Jaringan TCP/IP Surono; Agus Hartanto; Galih Setiarso; Krida Pandu G
JITU Vol 10 No 1 (2026)
Publisher : Universitas Boyolali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36596/jitu.v10i1.2284

Abstract

The Border Gateway Protocol (BGP), as the core internet routing protocol, lacks built-in security mechanisms, making it vulnerable to Man-in-the-Middle (MITM) attacks and sniffing. This research aims to test the effectiveness of an OpenVPN-based secure tunnel in enhancing the security of BGP peering sessions while analyzing its impact on network performance. The method used is an experiment with a pre-test and post-test design, comparing conditions before and after OpenVPN implementation between two routers on different platforms (Linux/FRRouting and MikroTik RouterOS). Test results show that OpenVPN successfully secures BGP communication by encrypting all traffic, thereby eliminating the risk of plaintext reading and passive MITM attacks. However, this implementation introduces a performance trade-off: latency increases by 2.6 ms (50%), throughput decreases by 289 Mbps (30.6%), and CPU utilization surges up to 60% due to encryption overhead. Nonetheless, BGP session stability is maintained with 99.95% uptime. The research concludes that OpenVPN is an effective solution for securing BGP in high-risk environments, with the caveat that hardware capacity and bandwidth requirements must be evaluated to minimize performance overhead impact.
Kalibrasi Sensor Analog IoT Terintegrasi pH, DO, Suhu dan TDS untuk Penentuan Water Quality Index Agus Hartanto; Lenny Margaretta Huizen; Charis Maulana
Jurnal Transformatika Vol. 24 No. 1 (2026): July 2026
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v24i1.15117

Abstract

Water pollution is a serious environmental issue in Indonesia, necessitating an accurate and real-time water quality monitoring system. This study developed an Internet of Things (IoT)-based monitoring system using an ESP32 microcontroller integrated with four analog sensors, namely pH, Dissolved Oxygen (DO), temperature (DS18B20), and Total Dissolved Solids (TDS). The system was designed with a layered architecture comprising a sensing layer, edge processing, a communication layer based on the MQTT protocol on a Linux Ubuntu server with a Mosquitto broker, and an application and storage layer using a MySQL database and a web interface based on Laravel with real-time visualization using JavaScript and CSS. Sensor calibration was performed using a multipoint calibration approach with linear and polynomial regression, accompanied by temperature compensation and digital filtering (median filter and Exponential Moving Average). Performance evaluation was conducted through 30 simultaneous measurements against standard laboratory instruments, resulting in an average system accuracy of 90.9% with R² values ranging from 0.806 to 0.956. The TDS and temperature parameters showed the best accuracy at 94.2% and 93.3%, respectively, whereas the pH and DO achieved 86.8% and 89.3%, respectively. The results of this study indicate that the developed ESP32-based IoT system is capable of generating reliable data (accuracy above 90%) for water quality monitoring in tropical environments. This research provides a practical contribution in the form of a solution that supports the implementation of sustainable monitoring in accordance with Government Regulation Number 22 of 2021 and Sustainable Development Goal (SDG) 6.