Development of Simulator for Smart Anti-Flooding Systems: Fostering Hands-On Learning in University Education
DOI:
https://doi.org/10.59097/jasae.v3i1.54Keywords:
Smart Anti-Flooding System, flood management, learning, disaster management, university curriculaAbstract
The Flooding remains one of the most challenging natural disasters, causing widespread damage and disruption across urban and rural areas. As the frequency and intensity of floods increase due to climate change and urbanization, there is a growing need for effective flood management systems. This paper presents the development of a **Smart Anti-Flooding System (SAFS)** simulator designed to enhance hands-on learning for university students, particularly in engineering, disaster management, and environmental science programs. The SAFS integrates sensors, microcontrollers, pumps, and photovoltaic (PV) panels into an autonomous flood management system, offering students the opportunity to bridge the gap between theoretical knowledge and real-world application. The simulator monitors water levels using ultrasonic and level sensors, while controlling pumps and servo motors based on real-time data, enabling automatic water redirection in flood-prone areas. Powered by renewable energy, the system incorporates sustainability into flood management, making it a relevant tool for both education and disaster resilience. This paper highlights the SAFS's integration into university curricula, the learning outcomes achieved, and feedback from students who used the system. The results indicate that the simulator significantly enhances students' practical skills, fosters collaboration, and promotes a deeper understanding of disaster management through experiential learning
References
L. Wang et al.,"A review of the flood management: from flood control to flood resilience," Heliyon, vol. 8, no. 11, p. e11763, Nov. 2022, doi: 10.1016/j.heliyon.2022.e11763.
H. Farhadi, A. Esmaeily, and M. Najafzadeh,"Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method," Computers & Geosciences, vol. 160, p. 105045, Mar. 2022, doi: 10.1016/j.cageo.2022.105045.
M. I. Zakaria and W. A. Jabbar, "Flood Monitoring and Warning Systems: A Brief Review" Journal of Southwest Jiaotong University, vol. 56, no. 3, pp. 140-156, Jun. 2021, doi: 10.35741/issn.0258-2724.56.3.12.
M. B. Adityawan et al., "Design of Automatic Flood Control System in Kulon Progo, Special Region of Yogyakarta, Indonesia," Results in Engineering, vol. 23, p. 102620, Sep. 2024, doi: 10.1016/j.rineng.2024.102620.
C. I. Davidson et al., "Preparing future engineers for challenges of the 21st century: Sustainable engineering," Journal of Cleaner Production, vol. 18, no. 7, pp. 698-701, May 2010, doi: 10.1016/j.jclepro.2009.12.021.
S. R. Brunhaver, R. F. Korte, S. R. Barley, and S. D. Sheppard, "Bridging the Gaps between Engineering Education and Practice," in U.S. Engineering in a Global Economy, University of Chicago Press, 2018, pp. 129-164. doi: 10.7208/chicago/9780226468471.003.0005.
M. R. Ghaleh and M. R. Ghaleh, "The Role of Smart Flood Management in the Ancient Blue-Green Infrastructure," in 2020 IEEE International Symposium on Technology and Society (ISTAS), IEEE, Nov. 2020, pp. 417-421. doi: 10.1109/ISTAS50296.2020.9462209.
L. Davidovitch, A. Parush, and A. Shtub, "Simulation?based Learning in Engineering Education: Performance and Transfer in Learning Project Management," Journal of Engineering Education, vol. 95, no. 4, pp. 289-299, Oct. 2006, doi: 10.1002/j.2168-9830.2006.tb00904.x.
D. Steward and T. T. H. Wan, "The Role of Simulation and Modeling in Disaster Management," Journal of Medical Systems, vol. 31, no. 2, pp. 125-130, Mar. 2007, doi: 10.1007/s10916-006-9047-7.
S. Schismenos et al., "Flood and Renewable Energy Humanitarian Engineering Research: Lessons from Aggitis, Greece and Dhuskun, Nepal," Geosciences, vol. 12, no. 2, p. 71, Feb. 2022, doi: 10.3390/geosciences12020071.
M. M. Jose and C. Dufrene, "Educational competencies and technologies for disaster preparedness in undergraduate nursing education: An integrative review," Nurse Education Today, vol. 34, no. 4, pp. 543-551, Apr. 2014, doi: 10.1016/j.nedt.2013.07.021.
G. Ufuoma, B. F. Sasanya, P. Abaje, and P. Awodutire, "Efficiency of camera sensors for flood monitoring and warnings," Scientific African, vol. 13, p. e00887, Sep. 2021, doi: 10.1016/j.sciaf.2021.e00887.
Muhida, R., Riza, M., Dunan, H., Pratowo, B., Cucus, A., Soewito, S., & Efendi, D. (2023). Development of optimum searching technique for finding the maximum power output of photovoltaic system based on temperature compensating technique. AIP Conference Proceedings, 2601(1), 020050. https://doi.org/10.1063/5.0129826
D. Danang, S. Suwardi, and I. A. Hidayat, "Mitigasi Bencana Banjir dengan Sistem Informasi Monitoring dan Peringatan Dini Bencana menggunakan Microcontroller Arduino Berbasis IoT," TEKNIK, vol. 40, no. 1, p. 55, Jul. 2019, doi: 10.14710/teknik.v40i1.23342.
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