Flood Early Warning System Prototype Based on Ultrasonic Sensor and Internet of Things

Muhammad Thoriq Arkaan Susila, Ilham Nadiyansyah Firdaus, Muhammad Farid Chuzairi, Dien Rahmawati

Abstract


Floods that come all of a sudden cause many people to be unable to prepare themselves to deal with it, so material losses to health problems cannot be avoided. Therefore, a system is needed to provide early warning to the public before a flood occurs. As technology develops, water levels in an area can be monitored to anticipate flooding using the Internet of Things (IoT). IoT can help to monitor and warn of floods in real-time and continuously. In this research, the system will be placed in areas that often cause flooding. Monitoring results from sensor readings will be stored in the cloud database. The water level category is divided into 4 levels, namely “Safe”, “Standby”, “Careful”, and “Danger”. The system uses IoT and a database to send water level status to users as notifications on applications. The buzzer will sound as a warning sign when the water level enters the “Danger” status. The system test results show that the sensor has a very good level of accuracy with an error percentage of 0.242131%, and IoT connectivity can reach a distance of up to 20 meters.  


Keywords


database; buzzer; early warning system; flood; internet of things

Full Text:

PDF

References


Windiastik, E. Ardhana, and J. Triono, “Perancangan Sistem Pendeteksi Banjir Berbasis IoT (Internet of Thing),” Senasif, vol. 3, no. 1, pp. 1925 - 1931, Sep 2019.

Valentin, R.D., “Implementasi Sensor Ultrasonik Berbasis Mikrokontroler Untuk Sistem Peringatan Dini Banjir,” Jurnal Ilmiah Mahasiswa Kendali dan Listrik, vol. 2, no.1, pp.32-41, 2021.

Tenda, E.P., Lengkong, A.V., and Pinontoan, K.F., “Sistem Peringatan Dini Banjir Berbasis IoT dan Twitter,” CogITo Smart Journal, vol. 7, no. 1, pp.26-39, 2021.

Satria, D., Yana, S., Munadi, R., and Syahreza, S., “Sistem peringatan dini banjir secara real-time berbasis web menggunakan arduino dan ethernet,” Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), vol. 1, no.1, pp.1-6, 2017.

Dorsemaine, B., Gaulier, J.P., Wary, J.P., Kheir, N. and Urien, P., “Internet of things: a definition & taxonomy.” In 2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies. IEEE, 2015., Cambridge, pp. 72–77.

Pierleoni, P., Belli, A., Palma, L., Valenti, S., Raggiunto, S., Incipini, L., and Ceregioli, P., “The scrovegni chapel moves into the future: An innovative internet of things solution brings new light to Giotto’s Masterpiece,” IEEE Sensors Journal, vol. 18, no.18, pp.7681-7696, 2018.

Esposito, M., Palma, L., Belli, A., Sabbatini, L., and Pierleoni, P., “Recent advances in internet of things solutions for early warning systems: A review”, Sensors, vol. 22, no. 6, p.2124., 2022.

Basher, R., “Global early warning systems for natural hazards: systematic and people-centred,” Philosophical transactions of the royal society a: mathematical, physical and engineering sciences, vol. 364, no. 1845, pp.2167-2182, 2006.

Cools, J., Innocenti, D., and O’Brien, S., “Lessons from flood early warning systems,” Environmental science & policy, vol. 58, pp.117-122, 2016.

Pappenberger, F., Cloke, H.L., Parker, D.J., Wetterhall, F., Richardson, D.S. and Thielen, J., “The monetary benefit of early flood warnings in Europe,” Environmental Science & Policy, vol. 51, pp.278-291, 2015.

Thielen-del Pozo, J., Thiemig, V., Pappenberger, F., RevillaRomero, B., Salamon, P., De Groeve, T., and Hirpa, F., “The benefit of continental flood early warning systems to reduce the impact of flood disasters,” EUR Sci. Tech. Res. Rep, 2015.

UNDRR, “Early Warning as a Matter of Policy”, In The conclusions of the Second International Conference on Early Warning (EWC II), 16-18 October 2003, Bonn, Germany [Online] Available: https://www.undrr.org/publication/earlywarning-matter-policy.

WMO, “Flood Forecasting and Early Warning,” World Meteorological Organization, 2013, [online] Available: https://library.wmo.int/idurl/4/37081.

Perera, D., Seidou, O., Agnihotri, J., Rasmy, M., Smakhtin, V.,

Coulibaly, P., and Mehmood, H., “Flood early warning systems: a review of benefits, challenges and prospects,” UNU-INWEH, Hamilton. 2019.

Indianto, W., Kridalaksana, Awang H., and Yulianto, “Perancangan Sistem Prototipe Pendeteksi Banjir Peringatan Dini Menggunakan Arduino dan PHP,” Jurnal Informatika Mulawarman, vol. 12, no. 1, 2017.

Shih, F. Y., Internet of things and data analytics handbook. John Wiley & Sons, 2014.

Marco Schwartz, Internet of Things with Arduino Cookbook, Birmingham, United Kingdom: Packt Publishing, 2016.

Adani, F. and Salsabil, S., “Internet of Things: Sejarah Teknologi dan Penerapannya,” . Sekolah Tinggi Teknologi Mandala: Jurnal Isu Teknologi, vol. 14, no. 2, 2019.

Surya, A. and Mukhaiyar, R, “Alat Pengatur Suhu Otomatis pada Kompor Gas Berbasis Internet of Things (IoT) Menggunakan Mikrokontroler,” Universitas Negeri Padang: JTEIN: Jurnal Teknik Elektro Indonesia, vol. 4, no. 1, pp. 322-331, 2023.

Ardhi, S., Gunawan, T.P., Tjandra, S. and Dewi, G.L., “Penerapan Metode Regresi Linear dalam Pengembangan Pengukuran Aliran Air pada Sensor YF-S201,” Jurnal Teknik Industri, vol. 26, no.1, pp.10-21, 2023.




DOI: https://doi.org/10.17529/jre.v19i3.33147

Article Metrics

Abstract view : 0 times
PDF - 0 times

Refbacks

  • There are currently no refbacks.


View My Stats

 

Creative Commons License

Jurnal Rekayasa Elektrika (JRE) is published under license of Creative Commons Attribution-ShareAlike 4.0 International License.