Vol 7, No 4 (2022)
Research paper
Published online: 2022-10-21

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Community-based information for disaster risk identification

Ali Hamzah1, Haris Sofyana1, Henny Cahyaningsih1, Achmad Hufad2, Viena R. Hasanah2, Dini Handayani2, Gurid Praminntarto Eko Mulyo1
Disaster Emerg Med J 2022;7(4):209-214.

Abstract

INTRODUCTION: Indonesia Disaster Risk Index (IRBI) in 2018 recorded that 52.33% of districts/cities in Indone­sia were at high risk of experiencing disasters, including Bandung Regency area. This study aims to provide an overview of the results of disaster risk identification based on community needs in disaster-prone regions.

MATERIAL AND METHODS: The research method employed is a quantitative exploratory survey of research variables using a cross-sectional design. The measured data includes respondent characteristics, assessment of disaster risk identification, knowledge, attitudes, and community skills related to the need for independ­ent disaster preparedness.

RESULTS: The results showed three types of priority disasters in the community, i.e., earthquakes, landslides, and hurricanes. The level of community knowledge, attitudes and skills related to disaster preparedness is still low: this is due to the ineffectiveness of education and socialization on disaster management based on risk reduction in the community. The role of the nursing community is crucial to empowering the community by providing education and socialization.

CONCLUSIONS: The study shows that there is a need to increase the knowledge, attitudes, and skills of the community in anticipating disasters, so it requires community empowerment and cross-program/cross-sector collaboration by involving elements of the community, government, and universities.

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