Design and Construction of a Current and Voltage Monitoring System as an Indicator of Disturbances in IoT-Based Runway Edge Lights
DOI:
https://doi.org/10.61536/ambidextrous.v5i02.833Keywords:
Internet of Things (IoT); runway edge lights; fault detection; ESP32; airport operationsAbstract
Runway lighting is a critical facility that supports the safety and reliability of airport operations, particularly during nighttime operations and adverse weather conditions with limited visibility. This study aims to design and implement an Internet of Things (IoT)-based current and voltage monitoring system as an indicator of disturbances in a runway edge light prototype. The proposed system utilizes an ACS712 current sensor, a ZMPT101B voltage sensor, an ESP32 microcontroller, a 16x4 LCD display, and the Blynk platform. The monitored parameters include current and voltage, which are processed by the ESP32 and transmitted via a Wi-Fi network for real-time monitoring. The test results show that the prototype successfully measured voltage values ranging from 203 V to 220.5 V and current values ranging from 1.90 A to 2.03 A, with a monitoring success rate of 100%. The system successfully identified normal conditions, undervoltage, overcurrent, and electrical circuit interruption based on predefined thresholds of 209–231 V for normal voltage and 1.8–2.0 A for normal current. Data transmission to the Blynk dashboard achieved a 100% success rate with an average delay of 1.22 seconds. The developed prototype demonstrates the feasibility of real-time electrical parameter monitoring and preliminary disturbance indication for runway edge light models under laboratory testing conditions.
Downloads
References
Andeni, A. N. (2025). Prototype IoT-Based Airfield Lighting On/Off Monitoring System (ALMOS) Using ESP32 Microcontroller. Journal of Airport Engineering Technology (JAET), 6(1), 25–33.
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of Things: A survey on enabling technologies, protocols, and applications. IEEE.
Amri, S., Fajrul, R., & Custer, J. (2026). IoT-Based Smart Energy Management System for Air-Conditioning Energy Efficiency in Mosques. Journal of Embedded Systems, Security and Intelligent Systems, 33-48.
Anugrah, I. (2017). Pengukur daya listrik menggunakan sensor arus ACS712-05A dan sensor tegangan ZMPT101B (Proyek Akhir). Universitas Negeri Yogyakarta, Yogyakarta, Indonesia.
Ashish, K., & Singh, R. (2021). Design and implementation of smart airport infrastructure using Internet of Things. Sensors, 21(18), 1–20
Bolton, W. (2015). Programmable Logic Controllers and Industrial Automation . Oxford: Elsevier.
Fachrul Ramadhan, Deni Satria, Ratna Aisuwarya. 2013. “Rancang Bangun Implementasi Sistem Pencuci Tangan (Hand Washer) dan Pengering Tangan (Hand Dryer) Otomatis”. Jurusan Sistem Komputer, Fakultas Teknologi Informasi, Universitas Andalas. Padang.
Hafizur Rizki, Wildian. 2015. “Rancang Bangun Sistem Wastafel Otomatis Berbasis Mikrokontroller Atmega8535 Dengan Menggunakan Sensor Fotodioda”. Jurusan Fisika, Fakultas FMIPA, Universitas Andalas, Padang.
Haryadi, Gatot. 2012. “Pencuci Dan Pengering Tangan Otomatis Berbasis Mikrokontroler ATMEGA8535”. Jurusan Sistem Komputer, Universitas Gunadarma.
International Civil Aviation Organization (ICAO), Aerodrome Design and Operations, Annex 14, Volume I, 8th ed. Montreal, QC, Canada: ICAO, 2018 L. Da Xu, W. He, and S. Li, “Internet of Things in Industries: A Survey,” IEEE Transactions on Industrial Informatics, vol. 10, no. 4, pp. 2233–2243, Nov. 2014.
Mada, Jimmy. 2014. “Belajar Pemograman Mikrokontroler Arduino”.
Pedoman Penulis Skripsi, Fakultas Teknik, Universitas PGRI Adi Buana, 2020.
Perusahaan Umum Listrik Negara. (1978). SPLN No. 1:1978 tentang Tegangan- Tegangan Standar. Jakarta: Perusahaan Umum Listrik Negara.
Putra, I. G. D. A., Kartika, R. B. B., & Suprihartini, Y. (2020). Sistem monitoring operasional lampu runway threshold identification light (RTIL) di laboratorium airfield ground lighting Sekolah Tinggi Penerbangan Indonesia. Jurnal Ilmiah Aviasi Langit Biru, 13(2)
Radwitya, E., Alkadri, S. I., dkk. (2026). Perancangan alat monitoring tegangan dan arus listrik berbasis mikrokontroler untuk monitoring real-time. Jurnal Simetrik, 16(1) Sugiyono. (2022). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta.
Solikin, A., & Wijaya, W. S. (2025). Implementasi Data Logger Menggunakan Sd Card Pada Pembangkit Listrik Tenaga Surya Di Tambak Udang Banjarasri Kecamatan Tanggulangin Kabupaten Sidoarjo Jawa Timur. Jurnal Qua Teknika, 15(02), 130- 140.
Solikin, A., & Rochman, S. (2025). Artificial Intelligence System for Face Detection to Identify Passenger Identity at the Airport. Best: Journal of Applied Electrical, Science and Technology, 7(1), 11-16.
Wardhana, Lingga. 2006 . “Belajar Sendiri Mikrokontroler AVR Seri ATMega8535 Simulasi, Hardware, dan Aplikasi”. Penerbit Andi. Yogyakarta.
Zhang, L. et al. (2021). Intelligent Climate Control Using IoT and Cloud Integration. Sensors Journal.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Saniyya Nahda T, Akhmad Solikin
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
