Early Detection of Floods Using Water Level Sensor Based on the Internet of Things
DOI:
https://doi.org/10.24036/zfpex030Keywords:
Tipping bucket, , Water level sensor, Solar Panel, Thingspeak, Internet of ThingsAbstract
Indonesia is located at the meeting point of two continental plates and is located on the equator, these conditions make Indonesia one of the countries that has a tropical climate with two seasons each year, namely the rainy season and the dry season. The prolonged rainy season due to weather changes that occur in various regions of Indonesia makes people have to be more careful about the possibility of flooding. Therefore, an effort is needed to minimize the loss of life and losses that occur by designing a flood detection system as a monitor of the water surface level. This early flood detection method uses a Tipping bucket which functions to measure the amount of rainfall, a Water Level Sensor which is used as a water level meter, thingspeak as an Internet of Things data webserver, and Solar Panels as a source of battery charging. After testing and analyzing the early flood detection device using the Internet of Things-based Water Level Sensor in flood-prone areas, the conclusion is that the early flood detection device functions effectively and the results obtained are in line with the objectives and performance of the device.
Downloads
References
[1] A. S. Priscilla, A. Kurniawati and A. F. Rizana, "Mapping of Communal Waste Water Treatment Plant User Group in Citarum River Areas Using Geographic Information System," 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC), Bandung, Indonesia, 2019, pp. 78-82, doi: 10.1109/ICSECC.2019.8907121.
[2] S. P. Windiastik et al., “Perancangan sistem pendeteksi banjir berbasis iot (internet of thing),” no. September, pp. 1925–1931, 2019.
[3] T. R. Alfajri and D. E. Myori, “Flood Early Detection Using Internet of Things Based on Flood- Ramped Areas,” J. Ind. Autom. Electr. Eng., vol. 01, no. 01, pp. 53–59, 2024..
[4] M. Thomas et al., "A Framework to Assess Remote Sensing Algorithms for Satellite-Based Flood Index Insurance," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp. 2589-2604, 2023, doi: 10.1109/JSTARS.2023.3244098.
[5] H. Riza, E. W. Santoso, I. Gunawan Tejakusuma and F. Prawiradisastra, "Advancing Flood Disaster Mitigation in Indonesia Using Machine Learning Methods," 2020 International Conference on ICT for Smart Society (ICISS), Bandung, Indonesia, 2020, pp. 1-4, doi: 10.1109/ICISS50791.2020.9307561.
[6] A. Fariza, F. Z. Salsabila and A. Basofi, "Flood Vulnerability Mapping in Lamongan District, Indonesia, using Fuzzy Analytical Hierarchy Process - Natural Breaks," 2022 International Electronics Symposium (IES), Surabaya, Indonesia, 2022, pp. 609-614, doi: 10.1109/IES55876.2022.9888311.
[7] R. Faiza Amira, I. Surjandari and E. Laoh, "Jakarta Flood Risk Mapping Using Index-based Approach and Spatial Analysis," 2020 International Conference on ICT for Smart Society (ICISS), Bandung, Indonesia, 2020, pp. 1-6, doi: 10.1109/ICISS50791.2020.9307583.
[8] F. A. Purnomo, N. M. Yoeseph, S. Koesuma, R. Hartono, S. Ristania and B. K. Riasti, "Virtual Reality Flood Disaster with Variations of Water Levels in the Early Warning System," 2022 1st International Conference on Smart Technology, Applied Informatics, and Engineering (APICS), Surakarta, Indonesia, 2022, pp. 180-185, doi: 10.1109/APICS56469.2022.9918727.
[9] Q. Nafishoh, I. Meilano and A. Riqqi, "Quantitative Flood Risk Projection in Java Island, Indonesia," 2018 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), Jakarta, Indonesia, 2018, pp. 1-6, doi: 10.1109/AGERS.2018.8554093.
[10] A. Sulasikin, Y. Nugrahat, M. E. Aminanto, B. I. Nasution and J. I. Kanggrawan, "Developing a knowledge management system for supporting flood decision-making," 2022 IEEE International Smart Cities Conference (ISC2), Pafos, Cyprus, 2022, pp. 1-4, doi: 10.1109/ISC255366.2022.9921881.
[11] C. Prakash, A. Barthwal and D. Acharya, "FLOODWALL: A Real-Time Flash Flood Monitoring and Forecasting System Using IoT," IEEE Sensors Journal, vol. 23, no. 1, pp. 787-799, 1 Jan.1, 2023, doi: 10.1109/JSEN.2022.3223671.
[12] E. Hamidi, B. G. Peter, D. F. Muñoz, H. Moftakhari and H. Moradkhani, "Fast Flood Extent Monitoring With SAR Change Detection Using Google Earth Engine," IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-19, 2023, Art no. 4201419, doi: 10.1109/TGRS.2023.3240097.
[13] B. B. Nair, P. Vallimeena, U. Gopalakrishnan, S. N. Rao and S. Krishnamoorthy, "Enhanced Urban Flood Monitoring: Integrating Advanced Semantic Segmentation and Human Facial Feature and Posture Analysis," IEEE Access, vol. 12, pp. 185807-185825, 2024, doi: 10.1109/ACCESS.2024.3513239.
[14] A. Nalluri, H. Ramesh and P. Ramji Dhote, "Monitoring Water Level Fluctuations of Reservoirs in the Krishna River Basin Using Sentinel-3 and ICESat-2 Altimetry Data," IEEE Access, vol. 12, pp. 183394-183409, 2024, doi: 10.1109/ACCESS.2024.3511139.
[15] S. C. Ballen, G. M. Ostrowski, J. Steffens and C. Steffens, "Graphene Oxide/Urease Nanobiosensor Applied for Cadmium Detection in River Water," IEEE Sensors Journal, vol. 21, no. 8, pp. 9626-9633, 15 April15, 2021, doi: 10.1109/JSEN.2021.3056042.
[16] K. Das, S. Ghosh, and H. S. Dutta, “A machine learning and IoT-based novel forecasting approach for flood monitoring and prevention,” Int. J. Hybrid Intell., vol. 2, no. 2, p. 175, 2023.
[17] M. H. Ridwan, M. Yuhendri, and J. Sardi, “Sistem Kendali Dan Monitoring Pompa Air Otomatis Berbasis Human Machine Interface,” JTEIN J. Tek. Elektro Indones., vol. 4, no. 2, pp. 592–600, 2023..
[18] I. Ahmed, M. Ahmad, G. Jeon and A. Chehri, "An Internet of Things and AI-Powered Framework for Long-Term Flood Risk Evaluation," in IEEE Internet of Things Journal, vol. 11, no. 3, pp. 3812-3819, 1 Feb.1, 2024, doi: 10.1109/JIOT.2023.3308564.
[19] M. M. Rasiddin and M. Yuhendri, “Monitoring cameras for violations in the use of personal protective equipment,” J. Ind. Autom. Electr. Eng., vol. 01, no. 02, pp. 1–8, 2024.
[20] N. Rathnayake, U. Rathnayake, I. Chathuranika, T. L. Dang and Y. Hoshino, "Projected Water Levels and Identified Future Floods: A Comparative Analysis for Mahaweli River, Sri Lanka," in IEEE Access, vol. 11, pp. 8920-8937, 2023, doi: 10.1109/ACCESS.2023.3238717.
[21] M. Yuhendri, A. Aswardi, and A. Ahyanuardi, “Implementasi Pompa Air Tenaga Surya Menggunakan Inverter Boost Satu Fasa,” INVOTEK J. Inov. Vokasional dan Teknol., vol. 20, no. 3, pp. 1–10, 2020, doi: 10.24036/invotek.v20i3.813.
[22] B. Kar et al., "Assessing a Model-of-Models Approach for Global Flood Forecasting and Alerting," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 9641-9650, 2024, doi: 10.1109/JSTARS.2024.3390579.
[23] J. Du et al., "Satellite Flood Inundation Assessment and Forecast Using SMAP and Landsat," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 6707-6715, 2021, doi: 10.1109/JSTARS.2021.3092340.
