Analisis Kinerja Sensor JSN-SR04T pada Sistem Monitoring Ketinggian Air Sungai untuk Keselamatan Pelayaran Berbasis Internet of Things
DOI:
https://doi.org/10.32502/jse.v11i1.2468Keywords:
Internet of Things, ESP32, JSN-SR04T, water level monitoring, navigation safetyAbstract
Navigation safety in inland waterway and ferry transportation is strongly influenced by environmental conditions, particularly fluctuations in river water levels. Real-time water-level information is essential for supporting decision-making in determining safe, comfortable, and efficient navigation routes while optimizing fuel consumption and maintaining schedule reliability. This study aims to evaluate the performance of the JSN-SR04T ultrasonic sensor integrated into an Internet of Things (IoT)-based water-level monitoring system to support navigation safety. The proposed system employs an ESP32 microcontroller as the central data-processing unit and wireless communication interface through a Wi-Fi network. The JSN-SR04T sensor measures variations in river water levels in real time, while the measurement results are transmitted and displayed on a mobile device, enabling users to monitor water-level conditions remotely. The research methodology comprised system design, hardware and software implementation, and sensor performance evaluation. Sensor accuracy was assessed by comparing the ultrasonic sensor measurements with reference measurements obtained manually using a measuring ruler. Ten measurement trials were conducted at different water-level conditions. The results demonstrate that the developed system can continuously monitor water levels in real time with stable performance. The JSN-SR04T sensor achieved an average measurement accuracy of 98.67%, with a measurement error of less than 1.5%. These findings indicate that the proposed IoT-based monitoring system provides reliable real-time water-level information and has strong potential as a decision-support tool for inland navigation safety, route optimization, fuel-efficiency considerations, and mitigation of accident risks associated with changing river conditions.
References
Abioye, E. A. et al. (2022). Internet of Things for water resource monitoring: A review. Sensors. https://doi.org/10.3390/s22072658
Ahmed, S. et al. (2024). Real-time IoT water monitoring system using ESP32 and cloud platform. Applied Sciences. https://doi.org/10.3390/app14031245
Aprianti, N., Paniran, & Suksmadana, I. M. B. (2024). Sistem monitoring ketinggian permukaan air dan pengaturan otomatis pintu air berbasis Internet of Things. Building of Informatics, Technology and Science. https://doi.org/10.47065/bits.v6i4.6924
Apsari, G. H. I., Pramono, S., & Zen, N. A. (2022). Implementation of linear regression using the JSN-SR04T sensor. Journal of Electronics, Electrical Engineering, and Applied Science. https://doi.org/10.58436/jeepa.v2i2.1277
Ariyo, M. F., Irwansyah, & Triyono. (2025). Water level prediction based on Internet of Things and machine learning. Journal of Artificial Intelligence and Engineering Applications. https://doi.org/10.59934/jaiea.v5i3.2557
Az-Zikri, A. N., Indriyanto, S., & Wicaksono, A. (2024). Perancangan prototipe sistem monitoring level air tandon berbasis Internet of Things (IoT) menggunakan sensor ultrasonik JSN-SR04T. Jurnal Sistem Informasi Dan Teknologi Komputasi. https://doi.org/10.61124/sinta.v2i1.38
Hasbullah, M. I., Osnin, N. A., & Salleh, N. H. M. (2023). A systematic review and meta-analysis on the development of aids to navigation. Australian Journal of Maritime & Ocean Affairs. https://doi.org/10.1080/18366503.2022.2055889
Johari, M., & Fahruzi, I. (2025). Automation of distribution tank water monitoring using ultrasonic sensors with fuzzy logic. Jurnal JARTEL. https://doi.org/10.33795/jartel.v16i2.10135
Khan, M. A. et al. (2022). IoT-based smart flood monitoring and early warning system. Sustainability. https://doi.org/10.3390/su141610238
Kim, H. et al. (2024). Low-cost ultrasonic water level monitoring system for river applications. Measurement. https://doi.org/10.1016/j.measurement.2024.114673
Lee, J. et al. (2023). Wireless sensor networks for hydrological monitoring: A review. Sensors. https://doi.org/10.3390/s23063175
Putri, N. J., & Saputra, M. I. (2025). Sistem pemantauan level air berbasis IoT menggunakan mikrokontroler MAPPI32 dengan notifikasi Telegram Bot API. Jurnal Informatika Dan Teknik Elektro Terapan. https://doi.org/10.23960/jitet.v14i1.8896
Raju, P. et al. (2023). Real-time river water level monitoring using IoT and cloud computing. Electronics. https://doi.org/10.3390/electronics12061361
Silva, R. et al. (2025). IoT-based hydrological monitoring for smart waterways. Journal of Marine Science and Engineering. https://doi.org/10.3390/jmse13020178
Wang, L. et al. (2025). Real-time water level monitoring based on ESP32 and edge intelligence. IEEE Internet of Things Journal. https://doi.org/10.1109/JIOT.2025.3456127
Zen, H., Kusuma, I. R., & Widjiati, E. (2023). Development of low-cost wave measurement model using ultrasonic sensor JSN-SR04T. International Review on Modelling and Simulations. https://doi.org/10.15866/iremos.v16i2.23490
Zhang, Y. et al. (2023). Edge computing-based IoT architecture for environmental monitoring. Future Internet. https://doi.org/10.3390/fi15030087
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Copyright (c) 2026 Muhamad Fahmi Amrillah, Eko Nugroho Widjatmoko, Paulina M Latuheru, Reno Muhammad Fadillah, Eki Ahmad Zaki Hamidi
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