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Social vulnerability of Pandeglang Regency, Banten

The potential for natural disasters in Pandeglang Regency is enormous considering that various kinds of disasters can occur in Pandeglang Regency. There needs to be comprehensive efforts to reduce the impact of the risk of natural disasters, one of them is by knowing the level of social vulnerabilit...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2021-09, Vol.846 (1), p.12011
Main Authors: Lestari, D A, Fitriasari, N S, Azhari, D R, Ahmad, T E, Rais, A
Format: Article
Language:English
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Summary:The potential for natural disasters in Pandeglang Regency is enormous considering that various kinds of disasters can occur in Pandeglang Regency. There needs to be comprehensive efforts to reduce the impact of the risk of natural disasters, one of them is by knowing the level of social vulnerability of the community in Pandeglang. Social vulnerability calculates the level of social vulnerability of the community to scenarios of natural disasters. This study aims to determine the level of social vulnerability and its distribution. Concept method of Social Vulnerability Index (SOVI) is used to measure regional vulnerability based on social indicators to disasters using the aspects of exposure, sensitivity and adaptive capacity. The variables used are population density, proportion of informal sector workers, proportion of vulnerable age population, proportion of non-permanent houses, proportion of prosperous households, proportion of high school graduates and number of social institutions. The level of vulnerability that dominates is a low vulnerability area by number 25 sub-districts or 71.42 % while there are 9 sub-districts or 25.71 % for high vulnerability areas and only 1 sub-district or 2.85 % of high vulnerability areas, namely Cimanuk District, which is in the northern part of Pandeglang Regency. Based on the value of vulnerability in several areas that still show a fairly large level of medium-high vulnerability. So, this data can be used as a recommendation as early mitigation measures to reduce the level of social vulnerability in order to reduce the impact that will later be caused.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/846/1/012011