Open AccessThe Model of Fuzzy Logic in IoT System as Decision Support System for Determining Flood Disaster Status
Author(s) -
Tedjo Yuwono,
Ruzardi,
Rumaizah Mohd Nordin,
Reham Mohamed,
Mohd Khairi Ismail
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1529/5/052029
Subject(s) - flood myth , fuzzy logic , preparedness , emergency management , government (linguistics) , computer science , internet of things , warning system , disaster mitigation , business , environmental planning , computer security , geography , risk analysis (engineering) , environmental resource management , political science , environmental science , artificial intelligence , economic growth , economics , telecommunications , linguistics , philosophy , archaeology , law
Flood is the most frequent disaster in the world. The impact of floods is very large, like human and animal death, the villages vanished and other environments damaged. In disaster preparedness, it is very necessary to divide the stages of the disaster status level. Therefore the public can prepare themselves according to these stages. The stage of disaster preparedness status is also beneficial for the government and related institutions to act according to the status stage of the disaster. This paper will propose the early warning system for flood disaster based on fuzzy logic in IoT system. This algorithm was built 8 rules. The inputs are the rainfall and height of water. The output is the status of flood disaster. The types of disaster status are normal, moderate 1, moderate 2, emergency 1, and emergency 2. From the simulation result, it is concluded that this fuzzy logic model can to determine the status of flood disaster very well.