Authors:
Mohammad Fikry Abdullah
1
;
Mardhiah Ibrahim
1
and
Harlisa Zulkifli
2
Affiliations:
1
Water Resources and Climate Change Research Centre and National Hydraulic Research Institute of Malaysia (NAHRIM), Malaysia
;
2
Information Management Division and National Hydraulic Research Institute of Malaysia (NAHRIM), Malaysia
Keyword(s):
Big Data Analytics, Disaster Management, Decision Making, Hydroclimate, Government, Public Sector, Big Data Framework.
Abstract:
Decision making in natural disaster management has its own challenge that needs to be tackled. In times of
disaster, government as a response organisation must conduct timely and accurate decisions to ensure rapid
assistance and effective recovery for the victim involved can be conducted. The aim of this paper is to embark
strategic 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 insight
of climate change data for dealing water related natural disaster. NAHRIM as a government agency
responsible in conducting research on water and its environment proposed a BDA framework for natural
disaster management using NAHRIM historical and simulated projected hydroclimate datasets. The objective
of developing this framework is to assist the government in making decisions concerning disaster management
by fully utilised NAHRIM datasets. The BDA f
ramework that consists of three stages; Data Acquisition, Data
Computation, and Data Interpretation and seven layers; Data Source, Data Management, Analysis, Data
Visualisation, Disaster Management, and Decision is hoped to give impact in prevention, mitigation,
preparation, adaptation, response and recovery of water related natural disasters.
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