Assessing Natural Disaster Vulnerability in Indonesia Using a Weighted Index Method

Natural disasters are natural activities that can disrupt various aspects. Natural disasters cannot be avoided, but the impact of natural disasters can be minimized through mitigation. This can be known through event history to determine an area’s vulnerability to natural disasters. This research aims to determine regional natural disaster vulnerability by calculating the natural disaster index. The data used in this research refers to data from the 2021 PODES data collection, which contains the intensity of natural disasters and casualties according to the type of natural disaster in Indonesia in 2020. The method used for the calculation is the weighted index method. The results of this research produced 5 clusters based on the level of natural disaster vulnerability according to sub-district/village. The top five provinces in Indonesia that have the highest natural disaster-prone areas are Aceh, North Sumatra, West Java, East Java, and Central Sulawesi. Research shows that sub-districts/villages in Indonesia are known according to their level of vulnerability to natural disasters. These results can be used as a reference for the government to carry out mitigation so that accelerated development in the local area can continue.

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Publication Details

Journal
Nature Environment and Pollution Technology
Published
2025-03-01
DOI
https://doi.org/10.46488/nept.2025.v24i01.d1683
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Assessing Natural Disaster Vulnerability in Indonesia Using a Weighted Index Method

St. Fatimah Azzahra, Taat Guswantoro, Faradiba Faradiba, Nathasya Grisella Manullang
Nature Environment and Pollution Technology
Data Mining and Machine Learning Applications
article

Assessing Natural Disaster Vulnerability in Indonesia Using a Weighted Index Method

St. Fatimah Azzahra, Taat Guswantoro, Faradiba Faradiba, Nathasya Grisella Manullang
article en

Abstract

Natural disasters are natural activities that can disrupt various aspects. Natural disasters cannot be avoided, but the impact of natural disasters can be minimized through mitigation. This can be known through event history to determine an area’s vulnerability to natural disasters. This research aims to determine regional natural disaster vulnerability by calculating the natural disaster index. The data used in this research refers to data from the 2021 PODES data collection, which contains the intensity of natural disasters and casualties according to the type of natural disaster in Indonesia in 2020. The method used for the calculation is the weighted index method. The results of this research produced 5 clusters based on the level of natural disaster vulnerability according to sub-district/village. The top five provinces in Indonesia that have the highest natural disaster-prone areas are Aceh, North Sumatra, West Java, East Java, and Central Sulawesi. Research shows that sub-districts/villages in Indonesia are known according to their level of vulnerability to natural disasters. These results can be used as a reference for the government to carry out mitigation so that accelerated development in the local area can continue.

Nature Environment and Pollution TechnologyVol. 24(1)
Openalex Percentile: Top 96%
Data Mining and Machine Learning Applications
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