Assessing Mobile Disaster Risk Management system

Authors

  • Kelvin Kris C. Gonzales

Abstract

People of San Mateo, Isabela nowadays are lack of information, awareness and preparedness about disaster risk management that causes lot of casualties and wide affected areas in times of calamities. During typhoon Rosita, the Municipality of San Mateo has reported 1,461 Families and 5,765 Individuals are affected. The LGU San Mateo is making attempts to address climate change and disasters at various levels. Thus, a Mobile Disaster Risk Management System (M-DRMS) was conceptualized to reduce the response time during disaster and calamities. This study aimed to model the response on incidents and to offer model-derived strategies for improved rescuing situation in times of attack of disasters and calamities. This study is an added literature to the development and validation of the disaster risk application as rescuing and mapping tool. The R&D and AGILE model methodologies were selected by the researcher as study and software development methodologies respectively. Descriptive statistics was employed particularly mean and standard deviation in order to analyze the data with regards to the assessment of IT Experts and Households on the effectiveness of the M-DRMS. The T-Test for concerning means of independent samples was also utilized to determine the significant difference between the IT Experts and Households assessment. It was found out that the M-DRMS is compliant to ISO 25010 in terms of Functional Suitability, Performance Efficiency, Compatibility, Usability, Reliability, Security, Maintainability, and Portability. Moreover, a positive feedback towards strengths of the M-DRMS was identified by the respondents including the limitations that may consider for future references.

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Published

2020-02-21

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Section

Articles