Analysis of health risks using geomedical mapping in landslide prone areas in Ponorogo East Java

Phuspa, Sisca Mayang and Muriyatmoko, Dihin (2018) Analysis of health risks using geomedical mapping in landslide prone areas in Ponorogo East Java. In: Journal of Physics: Conference Series, 23-24 April 2018, Medan, Indonesia.

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Official URL: https://iopscience.iop.org/article/10.1088/1742-65...

Abstract

Ponorogo Regency is an area prone to landslides, as happened on April 1, 2017, which had impacted 28 fatalities, declining public health status, and losses in the economic sector to hundreds of millions of rupiah. This research is a preventive step that aims to analyze the public health risks by geomedical mapping covering 21 sub-districts prone to landslide disasters in Ponorogo Regency. Geomedical mapping is an utilization of Geographic Information Systems (GIS) on disaster mitigation. Health risk analysis is carried out by weighting and scoring methods on variables from the hazard, vulnerabilities, and capacities to obtain the level of risk for each sub-district. The results show that 28.6% of all sub-districts in Ponorogo Regency have a high potential for landslide disasters while 71.4% are potentially moderate. The vulnerability of the community to landslide disasters varies from low (33%), moderate (43%) to high (24%). The capacity of communities facing landslides shows that 19% of all sub-districts are classified as medium and 81% others are low. Based on the identification of hazards, vulnerabilities, and capacities of communities in each sub-district in Ponorogo Regency, it was concluded that only 1 sub-district had a low risk of landslides, 2 sub-districts were at moderate risk, while 18 other sub-districts had a high health risk. The results of the analysis are described in spatial mapping with ArcGIS software. Hopefully, this output can be a reference in setting priority areas for reducing the risk of landslide disasters in Ponorogo Regency.

Item Type: Conference or Workshop Item (Lecture)
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA76 Computer software
R Medicine > R Medicine (General)
Divisions: Fakultas Ilmu Kesehatan UNIDA Gontor > Kesehatan dan Keselamatan Kerja
Depositing User: Dihin Muriyatmoko
Date Deposited: 22 Mar 2020 02:44
Last Modified: 26 Jun 2020 00:04
URI: http://repo.unida.gontor.ac.id/id/eprint/173

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