Title

Big data analytics framework for decision making in disaster critical preparedness management

Date of Publication

2018

Document Type

Master's Thesis

Degree Name

Master of Science in Information Technology

College

College of Computer Studies

Department/Unit

Information Technology

Thesis Adviser

Marivic S. Tangkeko

Defense Panel Member

Rafael A. Cabredo

Abstract/Summary

Ever since the country was battered by typhoon Ondoy (International name: Ketsana) in 2009, there became an advent of technology-drive initiatives to mitigate disasters and promote efficient disaster response. All seems well, not until one of the strongest typhoon ever recorded in history had devastated the Easter part of the archipelago. The governments response has been embattled with a lot of criticism during the aftermath of super typhoon Yolandas (International name: Haiyan) catastrophic destruction. Since then, studies had concluded that relaying of clear, understandable information to the public still needs improvement. Weather-related data and historical data are available, however, these data need to be translated into useful information that can be understood by leader and constituents of each Local Government Units (LGU).

The study aims to develop a framework for big data analytics to cater disaster critical preparedness management. It aims to utilize concepts that facilitate the gathering, consolidation, and analysis of heterogeneous data in order to generate relevant and customized information for decision-makers in the Philippines during disaster preparedness and response for hydrometeorological hazards. This research has gone through data gathering, research analysis, data synthesis, framework design and development, and framework validation and enhancement. This research will present that business intelligence can reinvent the disaster preparedness and response management in the Philippines, an emerging term called Critical Preparedness will be introduced in this study as a result of the findings of the research.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG007611

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 computer disc ; 4 3/4 in.

Keywords

Emergency management--Philippines; Big data--Philippines

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