Design and Development of a Smart Flood Gate Prototype Based on Mamdani Fuzzy Logic and Multiple Sensors
DOI:
https://doi.org/10.37859/coscitech.v7i2.12323
Abstract
This study aims to design and implement a prototype of an adaptive automatic flood gate system based on Mamdani fuzzy logic using multi-sensor input, developed as part of a Capstone Design course. The system employs an ultrasonic sensor to measure water level, a rain sensor, and a temperature sensor as inputs, while a servo motor acts as the gate actuator. Mamdani fuzzy logic is applied to determine gate conditions classified into safe, alert, and danger levels. Experimental results show that the ultrasonic sensor achieves an average measurement error of ±1.2 cm compared to manual measurements. The system responds to water level changes with an average response time of 1.8 seconds. The flood gate operates correctly according to fuzzy rules with a 100% success rate across 15 test scenarios. Furthermore, the system demonstrates a decision accuracy of 93.3% in classifying flood conditions. The system can also be monitored in real time using the Blynk application.These results indicate that the proposed prototype performs effectively as a laboratory-scale flood gate control system and has potential for further development toward real-world implementation.
Downloads
References
R. Kridalukmana, D. Eridani, R. Septiana, and I. P. Windasari, “Enhancing River Flood Prediction in Early Warning Systems Using Fuzzy Logic-Based Learning,” Int. J. Eng. Technol. Innov., vol. 14, no. 4, pp. 434–450, 2024, doi: 10.46604/ijeti.2024.13426.
D. Fiorillo, Z. Kapelan, M. Xenochristou, F. De Paola, and M. Giugni, “Assessing the Impact of Climate Change on Future Water Demand using Weather Data,” Water Resour. Manag., vol. 35, no. 5, pp. 1449–1462, 2021, doi: 10.1007/s11269-021-02789-4.
W. Mustikaningsih and A. R. Ananda, “Politik Ketahanan Iklim: Analisis Tata Kelola Bencana Banjir dan Transformasi Kerentanan Sosial – Ekonomi Masyarakat Urban di Era Disrupsi Perubahan Iklim,” J. Ilm. Multidisipin, vol. 3, no. 8, pp. 564–573, 2025, doi: 10.60126/jim.v3i8.1197.
Indra Dharmawan and Imelda Imelda, “Penerapan Internet of Things Sistem Deteksi Banjir Menggunakan Sensor Ultrasonik dan Node MCU,” J. Ticom Technol. Inf. Commun., vol. 12, no. 3, pp. 97–101, 2024, doi: 10.70309/ticom.v12i3.128.
Alfie Syahri & Ramadhani Ulansari, “5662-14885-1-Pb,” J. Teknol. Inf., vol. Vol 10 No 2, no. 2, 2024.
I. H. Z. Firdaus Ridwan Sutarta1, Asri Widiatsih2, “RANCANGAN BANGUN SISTEM PENDETEKSI DINI BANJIR MENGGUNAKAN SENSOR ULTRASONIK DAN ARDUINO UNO R3 BERBASIS TELEGRAM,” vol. 1, no. 2, pp. 167–186, 2021.
Enggar Prastyo and S. Siswanto, “Penerapan Fuzzy Logic untuk Sistem Deteksi Banjir Menggunakan Mikrokontroler ESP32-CAM dan Notifikasi Telegram,” J. Ticom Technol. Inf. Commun., vol. 11, no. 2, pp. 75–80, 2023, doi: 10.70309/ticom.v11i2.85.
A. Khairani, P. Angin, D. V. Ramadhani, and M. Rusdi, “MENGGUNAKAN SENSOR ULTRASONIK PARALLAX BERBASIS IoT,” J. Tek. Ilmu Dan Apl., pp. 395–403, 2023.
S. Siti Olis, “ANALISIS PERANCANGAN SISTEM MONITORING PENYIRAMAN TANAMAN STROBERI OTOMATIS BERBASIS IOT MENGGUNAKAN LOGIKA FUZZY MAMDANI,” in ANALISIS PERANCANGAN SISTEM MONITORING PENYIRAMAN TANAMAN STROBERI OTOMATIS BERBASIS IOT MENGGUNAKAN LOGIKA FUZZY MAMDANI, 2022, pp. 1–11. [Online]. Available: prosiding sismatik
C. D. A.A. Istri and Rizki Fadila, “Uji Validitas dan Reliabilitas Kuesioner Pengetahuan Masyarakat Tentang Program JKN,” J. Kesehat. Qamarul Huda, vol. 11, no. 1, pp. 307–315, 2023, doi: 10.37824/jkqh.v11i1.2023.462.
