Smart City Gnosys
Smart city article details
| Title | Developing A Knowledge Management System For Supporting Flood Decision-Making |
|---|---|
| ID_Doc | 19383 |
| Authors | Sulasikin A.; Nugrahat Y.; Aminanto M.E.; Nasution B.I.; Kanggrawan J.I. |
| Year | 2022 |
| Published | ISC2 2022 - 8th IEEE International Smart Cities Conference |
| DOI | http://dx.doi.org/10.1109/ISC255366.2022.9921881 |
| Abstract | Flood has been a critical issue for many cities, especially Jakarta, due to geographic structure, weather, and citizen behaviors. The United Nations have assigned disaster management as one of the Sustainable Development Goals. However, many cities in developing countries still face challenges in implementing comprehensive flood management services. In this study, we elaborate on efforts that have been made to achieve a one-stop flood management service, using Jakarta as a case study. The proposed methodologies have three values: sensing, understanding, and acting. First, we build sensors to measure various flood parameters in the sensing approach. Second, we collect all data output from the previous system to provide robust analysis in the understanding part. Finally, in the acting module, we provide a dashboard for the decision support system in the flood management system. Although the system has been established, several challenges to achieving a comprehensive flood management system are clarified in this study, especially data management and governance issues. We conclude this study with the future applications of the flood management system that can be expected to minimize the risk of flood disasters in Jakarta. © 2022 IEEE. |
| Author Keywords | artificial intelligence; data-driven decision making; disaster; Flood; Indonesia; Jakarta; knowledge management system; sensor; smart city |
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