| Issue |
E3S Web Conf.
Volume 464, 2023
The 2nd International Conference on Disaster Mitigation and Management (2nd ICDMM 2023)
|
|
|---|---|---|
| Article Number | 05001 | |
| Number of page(s) | 4 | |
| Section | Community Recovery and Resilience | |
| DOI | https://doi.org/10.1051/e3sconf/202346405001 | |
| Published online | 18 December 2023 | |
Sustainability assessment of economic recovery program in post disaster area at Susup Village, Central Bengkulu, Indonesia
1 Forestry Department, Faculty of Agriculture, University of Bengkulu, Bengkulu, Indonesia
2 PPSESDA Directorate, National Disaster Management Agency, Jakarta, Indonesia
3 Agribussiness Department, Faculty of Agriculture, University of Bengkulu, Bengkulu, Indonesia
4 Agricultural Technology Department, Faculty of Agriculture, University of Bengkulu, Bengkulu, Indonesia
* Corresponding author: herysuhartoyo@unib.ac.id
This article addresses the sustainability of post disaster assistance program for economic recovery in the context of the 2019’s Flood and landslide in Bengkulu Province by presenting an analysis of its sustainability (e.g., Exit Strategy) of the economic recovery program. The purpose of this sustainability assessment were: first, to ensure that that the program will continue to run even though the program will be ended; and second, to ensure the process of business still running and the member of business group take initiative to have better motivation towards a better situation and increased their income. Data was gathered through Focus Group Discussion (FGD) and analysed using Multi-Dimensional Scaling (MDS) approach. Based on the MDS analyses for all dimensions was resulted an index of 58.88%, meaning that the program was “moderately/sufficiently sustainable” for the business groups in Susup Village, Merigi Sakti District, Central Bengkulu
© The Authors, published by EDP Sciences, 2023
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.