Open Access
Issue
E3S Web Conf.
Volume 677, 2025
The 3rd International Conference on Disaster Mitigation and Management (3rd ICDMM 2025)
Article Number 02014
Number of page(s) 6
Section Social, Economic, Cultural, Community, and Local Wisdom Issues in Disaster Management
DOI https://doi.org/10.1051/e3sconf/202567702014
Published online 12 December 2025
  1. S. Puttinaovarat, P. Horkaew, P. Koonthong, P. Aphirathing, and K. Sriruksa, Internetworking flood disaster mitigation system based on remote sensing and mobile GIS. Geomatics, Natural Hazards and Risk, 12(1), 835–851, (2020). https://doi.org/10.1080/19475705.2020.1815869. [Google Scholar]
  2. A. S. Dietrich, Pollution, Health, and Disaster. Environment and Society, 12(1), 44–65, (2021). https://doi.org/10.3167/ares.2021.120104. [Google Scholar]
  3. P. A. Andung, J. J. Messakh, and M. M. Doko, Disaster Mitigation Communication Model Using Folk Media. Jurnal Komunikasi: Malaysian Journal of Communication, 40(4), 89–106, (2024). https://doi.org/10.17576/JKMJC-2024-4004-05. [Google Scholar]
  4. A. Marhadi, L. Ino, R. S. Suraya, L. Janu, T. Said, and R. Gaho, Understanding local wisdom as specific knowledge in natural disaster mitigation: An empirical lesson in Tiworo, Indonesia. Kasetsart Journal of Social Sciences, 45(4), 1383–1392, (2024). https://doi.org/10.34044/j.kjss.2024.45.4.31. [Google Scholar]
  5. J. Hos, Sarpin, S. Roslan, R. Supiyah, and Hasniah, Disaster mitigation based on local wisdom in shifting cultivator communities. WSEAS Transactions on Environment and Development, 17, 237–243, (2021). https://doi.org/10.37394/232015.2021.17.24. [Google Scholar]
  6. M. I. Borman, A. S. P. Syamsuddin, R. R. Korompot, and K. Yoshida, Development of a Disaster Mitigation Model Based on Local Wisdom. Jambe Law Journal, 6(1), 47–67, (2023). https://doi.org/10.22437/jlj.6.1.47-67. [Google Scholar]
  7. R. Lisman, D. Darmaiza, and D. Wahyuni, Safeguarding Communities: Exploring the Tradition of Tolak Bala in Nagari Bungus. Journal of Contemporary Ritual and Tradition, 1(1), 25–42, (2023). https://doi.org/10.15575/jcrt.212. [Google Scholar]
  8. A. Firdaus, F. Lestari, S. A. Afiff, and H. Herdiansyah, Integration of knowledge and local wisdom for disaster resilience in Anak Krakatau volcano. Jamba: Journal of Disaster Risk Studies, 15(1), 1–12, (2023). https://doi.org/10.4102/jamba.v15i1.1457. [Google Scholar]
  9. N. Nopriyasman et al., Reading indigenous signs: The wisdom of Nagari communities toward natural disaster in Pasaman Barat. International Journal of Disaster Risk Reduction, 107, 104497, (2024). https://doi.org/10.1016/j.ijdrr.2024.104497. [Google Scholar]
  10. C. Folke, S. Carpenter, T. Elmqvist, L. Gunderson, C. S. Holling, and B. Walker, Resilience and Sustainable Development: Building Adaptive Capacity in a World of Transformations. AMBIO: A Journal of the Human Environment, 31(5), 437–440, (2002). https://doi.org/10.1579/0044-7447-31.5.437. [Google Scholar]
  11. M.-U.-I. Choudhury, C. E. Haque, and G. Hostetler, Transformative learning and community resilience to cyclones and storm surges: The case of coastal communities in Bangladesh. International Journal of Disaster Risk Reduction, 55, 102063, (2021). https://doi.org/10.1016/j.ijdrr.2021.102063. [Google Scholar]
  12. K. S. Pribadi et al., Learning from past earthquake disasters: The need for knowledge management system to enhance infrastructure resilience in Indonesia. International Journal of Disaster Risk Reduction, 64, 102424, (2021). https://doi.org/10.1016/j.ijdrr.2021.102424. [Google Scholar]
  13. F. Berkes, Sacred Ecology. (Routledge, 2012). [Google Scholar]
  14. N. Hosen, H. Nakamura, and A. Hamzah, Adaptation to Climate Change: Does Traditional Ecological Knowledge Hold the Key?. Sustainability, 12(2), 676, (2020). https://doi.org/10.3390/su12020676. [Google Scholar]
  15. J. J. H. Kim, N. Betz, B. Helmuth, and J. D. Coley, Conceptualizing Human–Nature Relationships: Implications of Human Exceptionalist Thinking for Sustainability and Conservation. Topics in Cognitive Science, 15(3), 357–387, (2023). https://doi.org/10.1111/tops.12653. [Google Scholar]

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