From vulnerability to resilience: Examining the Sister Village program's approach to volcanic disaster risk reduction using the DROP model

This study examines the implementation of the Sister Village Program in enhancing community-based disaster resilience in Umbulharjo Village, located in the eruption-prone zone of Merapi Volcano. Using the Disaster Resilience of Place (DROP) Model approach, this research evaluates the key elements that shape disaster resilience, including mitigation, preparedness, adaptive capacity, and inter-village collaboration. The DROP Model integrates various components that influence a region's ability to manage, respond to, and recover from disasters, covering ecological, social, economic, institutional, and community competence aspects. This approach provides a comprehensive overview of a region's resilience to disasters and offers practical guidance for improving community and regional resilience. The study highlights the importance of planned mitigation and preparedness, and active community participation in reducing disaster impacts and accelerating post-disaster recovery. The Sister Village Program which involves knowledge exchange, infrastructure improvement, and strengthening the adaptive capacity of both villages, serves as an effective disaster risk reduction model. The findings also show that collaboration between villages and institutions, along with the strengthening of social infrastructure, play a crucial role in enhancing disaster resilience. The results of this study identify that by integrating these elements, the Sister Village Program can create stronger and more sustainable long-term disaster resilience. This model aligns with the Sustainable Development Goals (SDGs), particularly those related to disaster risk reduction and community capacity building. Thus, the Sister Village Program in Umbulharjo Village demonstrates significant potential for building sustainable resilience through an inclusive and collaborative community-based approach. • Evaluate disaster resilience using the DROP Model in eruption-prone Umbulharjo Village. • Highlights Sister Village program's role in strengthening community-based disaster resilience. • Demonstrates how inter-village collaboration enhances adaptive capacity and recovery. • Integrates social, ecological, and institutional factors for sustainable resilience building. • Aligns findings with SDGs, focusing on disaster risk reduction and capacity building.

Authors

Institutions

Publication Details

Journal
Progress in Disaster Science
Published
2025-04-01
DOI
https://doi.org/10.1016/j.pdisas.2025.100439
Citations
3
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
12.60
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From vulnerability to resilience: Examining the Sister Village program's approach to volcanic disaster risk reduction using the DROP model

Ryo Tanaka, Dina Ruslanjari, Diana Puspitasari, Retno Argian Pangesti Putri et al.
3 citations
Progress in Disaster Science
Disaster Management and Resilience
12.60
article

From vulnerability to resilience: Examining the Sister Village program's approach to volcanic disaster risk reduction using the DROP model

Ryo Tanaka, Dina Ruslanjari, Diana Puspitasari, Retno Argian Pangesti Putri, Taaj Nabil, Nabilla Auriel Fajarian, Retnadi Heru Djatmiko, Hasri Alvionita
article en
3 citations

Abstract

This study examines the implementation of the Sister Village Program in enhancing community-based disaster resilience in Umbulharjo Village, located in the eruption-prone zone of Merapi Volcano. Using the Disaster Resilience of Place (DROP) Model approach, this research evaluates the key elements that shape disaster resilience, including mitigation, preparedness, adaptive capacity, and inter-village collaboration. The DROP Model integrates various components that influence a region's ability to manage, respond to, and recover from disasters, covering ecological, social, economic, institutional, and community competence aspects. This approach provides a comprehensive overview of a region's resilience to disasters and offers practical guidance for improving community and regional resilience. The study highlights the importance of planned mitigation and preparedness, and active community participation in reducing disaster impacts and accelerating post-disaster recovery. The Sister Village Program which involves knowledge exchange, infrastructure improvement, and strengthening the adaptive capacity of both villages, serves as an effective disaster risk reduction model. The findings also show that collaboration between villages and institutions, along with the strengthening of social infrastructure, play a crucial role in enhancing disaster resilience. The results of this study identify that by integrating these elements, the Sister Village Program can create stronger and more sustainable long-term disaster resilience. This model aligns with the Sustainable Development Goals (SDGs), particularly those related to disaster risk reduction and community capacity building. Thus, the Sister Village Program in Umbulharjo Village demonstrates significant potential for building sustainable resilience through an inclusive and collaborative community-based approach. • Evaluate disaster resilience using the DROP Model in eruption-prone Umbulharjo Village. • Highlights Sister Village program's role in strengthening community-based disaster resilience. • Demonstrates how inter-village collaboration enhances adaptive capacity and recovery. • Integrates social, ecological, and institutional factors for sustainable resilience building. • Aligns findings with SDGs, focusing on disaster risk reduction and capacity building.

Progress in Disaster ScienceVol. 26
Universitas Gadjah Mada (ID), Chiba Institute of Science (JP)
Climate action
Openalex Percentile: Top 2%
Disaster Management and Resilience
12.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.