| Issue |
MATEC Web Conf.
Volume 229, 2018
International Conference on Disaster Management (ICDM 2018)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 7 | |
| Section | Understanding Disaster Management | |
| DOI | https://doi.org/10.1051/matecconf/201822901007 | |
| Published online | 14 November 2018 | |
The identification of parameter arrangement for hypothetical model of campus with earthquake disaster mitigation insight
Geography Education, Indonesia Education State University, Jl. Setiabudhi No 229, Bandung 40154, Indonesia
* Corresponding author: lieswahyuni190695@gmail.com
Universitas Pendidikan Indonesia is one of the leading university that should be responsive to environmental phenomena, especially about the earthquake disaster. Thus, developing disaster mitigation model is a very important thing to do. The purpose of this research is (1) identification of disaster risk factors, (2) classifying parameters and disaster risk indicator based on the availability of data, difficulty in obtaining data, and the accuracy of data, (3) develop alternative parameters to be used as a campus disaster mitigation model-based classification of disaster risk indicator. The method used in this research is literature study, analysis, and synthesis of theory and approach based on consideration of the expertise of the several specialist’s mitigations. The result of this study is an arrangement of the parameter for a campus with disaster mitigation hypothetical model insight which is divided into 3 parts, namely: ideal parameter consisting of 30 parameter indicators, medium parameter consisting of 27 parameter indicators, and simple parameter consisting of 22 parameter indicators.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.