Publication Details

Big Data Analytics Framework for Natural Disaster Management in Malaysia

Decision making in natural disaster management has its own challenge that needs to be tackled. In times ofdisaster, government as a response organisation must conduct timely and accurate decisions to ensure rapidassistance and effective recovery for the victim involved can be conducted. The aim of this paper is to embarkstrategic decision making in government concerning to disaster management through Big Data Analytics(BDA) approach. BDA technology is integrated as a solution to manage, utilise, maximise, and expose insightof climate change data for dealing water related natural disaster. NAHRIM as a government agencyresponsible in conducting research on water and its environment proposed a BDA framework for naturaldisaster management using NAHRIM historical and simulated projected hydroclimate datasets. The objectiveof developing this framework is to assist the government in making decisions concerning disaster managementby fully utilised NAHRIM datasets. The BDA framework that consists of three stages; Data Acquisition, DataComputation, and Data Interpretation and seven layers; Data Source, Data Management, Analysis, DataVisualisation, Disaster Management, and Decision is hoped to give impact in prevention, mitigation,preparation, adaptation, response and recovery of water related natural disasters.