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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

ISBN: 978-989-758-245-5

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 fr amework 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. (More)

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Paper citation in several formats:
Abdullah M., Ibrahim M. and Zulkifli H. (2017). Big Data Analytics Framework for Natural Disaster Management in Malaysia.In Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-245-5, pages 406-411. DOI: 10.5220/0006367204060411

@conference{iotbds17,
author={Mohammad Fikry Abdullah and Mardhiah Ibrahim and Harlisa Zulkifli},
title={Big Data Analytics Framework for Natural Disaster Management in Malaysia},
booktitle={Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,},
year={2017},
pages={406-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006367204060411},
isbn={978-989-758-245-5},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS,
TI - Big Data Analytics Framework for Natural Disaster Management in Malaysia
SN - 978-989-758-245-5
AU - Abdullah M.
AU - Ibrahim M.
AU - Zulkifli H.
PY - 2017
SP - 406
EP - 411
DO - 10.5220/0006367204060411

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