Open AccessPolicy Direction for AHP-Based Disaster Mitigation Education the Post Eruption of Dempo Volcano in Pagar Alam City - Indonesia
Author(s) -
I Gusti Ayu Dewi Suryani,
Dedi Hermon,
Eri Barlian,
Indang Dewata,
Iswandi Umar
Publication year - 2020
Publication title -
international journal of management and humanities
Language(s) - English
Resource type - Journals
ISSN - 2394-0913
DOI - 10.35940/ijmh.i0852.054920
Subject(s) - preparedness , analytic hierarchy process , disaster mitigation , government (linguistics) , warning system , emergency management , environmental planning , volcano , data collection , business , environmental resource management , geography , political science , environmental science , computer science , engineering , operations research , seismology , geology , sociology , social science , telecommunications , linguistics , philosophy , law
This research is backed by the lack of attention of the government in the world of education against the risk of Post eruption of Dempo volcano in Pagar Alam City in the form of preparation and socialization of disaster mitigation measures, evacuation pathways provided, early warning systems in the volcano disaster-prone areas. On the other hand, with disaster preparedness, damage and victim numbers can be minimized. The purpose of this research is to formulate a priority referral education mitigation of the eruption of post-eruption of Dempo volcano. Data collection using relevant interviews, observations and information collection. Then the data is grouped by hazard level criteria, vulnerabilities, and risks that may arise. Data is processed with assessment and analysis with the Analytical Hierarchy Process (AHP). Research findings suggest that the priorities of disaster mitigation education of post-eruption of Dempo volcano are as follows: the measurable and periodical aspects of training and disaster simulation (0.832), coordination and cooperation in anticipating disasters of (0.813), human resources amounting to (0.801), routes and evacuation sites amounting to (0.799), and early warning systems of (0.795).