E3S Web Conf.
Volume 331, 2021International Conference on Disaster Mitigation and Management (ICDMM 2021)
|Number of page(s)||4|
|Section||Lesson Learnt in Disaster Management|
|Published online||13 December 2021|
The framing of decision making support systems on increasing community resilience in disaster risk reduction efforts: a conceptual approach
1 Dept. of Quantity Surveying, Faculty of Engineering and Planning, Bung Hatta University, Indonesia
2 Dept. of Civil Engineering, Faculty of Engineering, Andalas University, Indonesia.
* Corresponding author: email@example.com
This research begins by comprehensively exploring previous research related to community resilience and what steps are used to increase community resilience in reducing disaster risk. Conceptually, it is known that the fatigue model accumulated by the time system, infrastructure system, governance system, regulatory system, and hazard system for disaster risk reduction is often associated with weakening community resilience. It is often associated with catastrophic events, which are sometimes predictable and unpredictable. In manual decision-making, people are aware of the inconsistency of subjective decisions. A decision support system hypothesizes that it will take less time to explore data to make faster and more informed decisions. As a result of this concept, it is possible to reduce the number of wrong choices when dealing with disaster risk reduction issues. In terms of disaster risk reduction, the power of decision support systems is discussed in this paper to find a framework for its effectiveness as relative decision making will differ on different dimensions of Resilience.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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