Systematic Literature Review: Internet of Things (IoT)-Based Flood Detection System
Keywords:
IoT, Flood Detection, Early Warning, Real-time Monitoring, SLR.Abstract
Floods are a frequent natural disaster in Indonesia and cause significant losses due to the limitations of manual monitoring systems. This study aims to analyze the development of Internet of Things (IoT)-based flood detection systems using a Systematic Literature Review (SLR) with the PICOC approach. The research process involved identifying, selecting, and evaluating relevant literature to obtain a comprehensive overview of the technology, methods, and system effectiveness.
The results show that most systems utilize ultrasonic sensors and microcontrollers such as Arduino, ESP8266, and ESP32 for real-time water level monitoring. Integration with IoT platforms such as ThingSpeak, Firebase, and Telegram allows for rapid data delivery and notifications to users. Several studies have also developed systems with multi-parameters, LoRa communication, and dual sensors to improve accuracy.
However, these systems still face limitations such as reliance on the internet, communication limitations, and environmental impacts on sensors. Therefore, the development of systems that integrate technology and community preparedness is necessary for more effective flood mitigation.
References
[1] M. Arduino, U. Untuk, M. Alat, D. Banjir, and S. Otomatis, “Analisis Cara Kerja Sensor Ultrasonik Menggunakan,” 2020.
[2] R. Dika Pratama, S. Samsugi, J. Persada Sembiring, J. Z. Pagar Alam No, L. Ratu, and B. Lampung, “ALAT DETEKSI KETINGGIAN AIR MENGGUNAKAN SENSOR ULTRASONIK DENGAN DATABASE,” Jurnal Teknik dan Sistem Komputer (JTIKOM, vol. 3, no. 1, p. 2022.
[3] D. Hanggara et al., “PURWARUPA PERANGKAT DETEKSI DINI BANJIR BERBASIS INTERNET of THINGS,” 2021. [Online]. Available: http://e-journal.stmiklombok.ac.id/index.php/jireISSN.2620-6900
[4] S. P. Windiastik, N. Ardhana, and J. Triono, “PERANCANGAN SISTEM PENDETEKSI BANJIR BERBASIS IOT (INTERNET OF THING),” Seminar Nasional Sistem Informasi, 2019.
[5] T. Rahajoeningoem and I. H. Saputra, “Sistem Monitoring Cuaca dan Deteksi Banjir pada Android Berbasis Internet of Things (IoT) Weather Monitoring System and Flooding Detection on Android Based Internet of Things (IoT).”
[6] Dedi Setiawan, Ishak, Marsono, Widiati Rista Maya, Darjat Saripurna, and Saniman, “Sistem Deteksi Banjir Berbasis IoT Pada Sungai Abadi,” Jul. 2025.
[7] H. Amelia, R. Dewi, and S. Nita, “RANCANG BANGUN DETEKSI BANJIR BERDASARKAN TINGKAT KETINGGIAN AIR DAN INTENSITAS HUJAN BERBASIS INTERNET OF THINGS (IOT),” SULIWA: Jurnal Multidisiplin Teknik, Sains, Pendidikan dan Teknologi, vol. 3, no. 1, pp. 16–24, Jan. 2026, doi: 10.62671/suliwa.v3i1.127.
[8] I. Maya Oktavian and N. Fitrianingsih Hasan, “Perancangan sistem monitoring deteksi banjir berbasis IoT,” Journal of Informatics, vol. 01, no. 1, 2026, doi: 10.31315/jiitecs.vxxix.xxx.
[9] M. Rega Alfiano Setiawan and A. Rahman Sujatmika, “PROTOTYPE DETEKSI BANJIR MENGGUNAKAN SENSOR ULTRASONIK, DAN WATER LEVEL SENSOR DENGAN NOTIFIKASI BLYNK,” Jurnal Teknologi Dan Sistem Informasi Bisnis-JTEKSIS, vol. 4, no. 2, p. 462, 2022, doi: 10.47233/jteksis.v4i2.573.
[10] A. Taryana, M. Rifa, E. Mahmudi, and H. Bekti, “ANALISIS KESIAPSIAGAAN BENCANA BANJIR DI JAKARTA,” 2022.
