| Issue |
E3S Web Conf.
Volume 652, 2025
2nd International Conference on Sustainable Environment and Disaster Management (2nd SUSTAIN 2025)
|
|
|---|---|---|
| Article Number | 06004 | |
| Number of page(s) | 11 | |
| Section | Disaster Risk Community Resilience, Preparedness & Recovery | |
| DOI | https://doi.org/10.1051/e3sconf/202565206004 | |
| Published online | 15 October 2025 | |
Assessing Village Disaster Resilience Through Gap Analysis: Insights from the Implementation of SNI 8357:2017 in Kemuning Village
Department of Environmental Science, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, Indonesia 57126
* Corresponding author: rm.sunarto@staff.uns.ac.id
Disaster risk is a major challenge for rural communities in Indonesia, particularly those located in high-risk areas such as Kemuning Village, which is prone to landslides. This study aimed to assess the village’s disaster resilience using gap analysis based on the Indonesian National Standard (SNI) 8357:2017 on Disaster Resilient Villages. A descriptive quantitative approach was employed through structured questionnaires and in-depth interviews with key stakeholders. The assessment focused on five dimensions: basic services, disaster management systems, risk management, emergency preparedness, and recovery preparedness. The results showed that Kemuning Village had strong performance in risk management and community participation, with a zero gap score. However, critical gaps were found in emergency preparedness and post-disaster recovery, with the largest gap score reaching -2.0. These gaps reflected limited early warning systems, inadequate evacuation routes, and insufficient disaster documentation. This study concludes that while the community has demonstrated strong social cohesion and local initiatives, further efforts are needed to improve technical infrastructure, local capacity, and cross-sectoral collaboration. The findings offer practical insights for integrating disaster risk reduction into village development planning and for replicating effective practices in other disaster-prone areas.
© The Authors, published by EDP Sciences, 2025
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.
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