Proceedings of the International Conference of CELSciTech 2019 - Social Sciences and Humanities track (ICCELST-SS 2019)

Community Based Mount Agung Disaster Communication Model through Pasebaya Community

Authors
Adhianty Nurjanah, Aswad Ishak, Sakir
Corresponding Author
Adhianty Nurjanah
Available Online December 2019.
DOI
https://doi.org/10.2991/iccelst-ss-19.2019.1How to use a DOI?
Keywords
Communication, Disaster, Model, Community, Mount, Agung, Pasebaya
Abstract
Mount Agung erupted on November 27, 2017 with 43,358 refugees and spread across 229 refugee points. This study aims to determine the disaster communication model conducted by the government in this case the Public Relations of Karangasem Regency Government with the community affected by the Mount Agung disaster in reducing disaster risk. This study used a qualitative descriptive method and conducted in-depth interviews with the Head of Public Relations of Karangasem Regency, Staff of the Regional Disaster Management Agency (BPBD) of Karangasem Regency, and Pasemetonan Jagabaya Community. The results showed that the Mount Agung disaster management communication model carried out by the government synergized with the community through the Pasemetonan Jagabaya (Pasebaya) community. This community-based disaster communication model is carried out with the disaster risk reduction system through the Pasemetonan Jagabaya Disaster Risk Reduction (FPRB) Forum. The communication media used are community-based communication radio namely Orari, Pemda and Rapi.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Cite this article

TY  - CONF
AU  - Adhianty Nurjanah
AU  - Aswad Ishak
AU  - Sakir
PY  - 2019/12
DA  - 2019/12
TI  - Community Based Mount Agung Disaster Communication Model through Pasebaya Community
BT  - Proceedings of the International Conference of CELSciTech 2019 - Social Sciences and Humanities track (ICCELST-SS 2019)
PB  - Atlantis Press
SP  - 49
EP  - 53
SN  - 2352-5398
UR  - https://doi.org/10.2991/iccelst-ss-19.2019.1
DO  - https://doi.org/10.2991/iccelst-ss-19.2019.1
ID  - Nurjanah2019/12
ER  -