Multidimensional Assessment of Village Resilience to Landslide Disasters Using the RAP-DRR Method

Landslides are one of the most frequent natural disasters in areas with steep slopes and high rainfall, such as Ngargoyoso Village, Karanganyar. This study aimed to assess the village’s resilience level to landslide disasters from a multidimensional perspective using the RAP-DRR (Rapid Appraisal for Disaster Resilience in Rural areas) approach. The five resilience dimensions analyzed included social, economic, technological, institutional, and infrastructural aspects. Data were collected through questionnaire surveys and interviews with residents in landslide-prone areas, and were analyzed using the Multi-Dimensional Scaling (MDS) method in the Rapfish software. The results showed that the village’s overall resilience index fell into the moderately sustainable category (score 55.64), with infrastructure being the strongest aspect (82.70) and technology the weakest (36.49). The social (63.35) and institutional (50.62) dimensions reflected relatively good community participation and institutional support, while the economic dimension (45.06) indicated a continued weakness in residents’ financial resilience. These findings emphasized the importance of strategies to enhance community capacity, particularly in the technological and economic aspects, as a foundation for sustainable and adaptive disaster mitigation policies at the village level.

Authors

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-10-15
DOI
https://doi.org/10.1051/e3sconf/202565205003/pdf
Primary Topic
Disaster Management and Resilience
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Multidimensional Assessment of Village Resilience to Landslide Disasters Using the RAP-DRR Method

Oricya Salma, Rafika Kusuma Hidayati, Syahla Talitha Khumaira, Sapta Suhardono et al.
Springer Link (Chiba Institute of Technology)
Disaster Management and Resilience
article

Multidimensional Assessment of Village Resilience to Landslide Disasters Using the RAP-DRR Method

Oricya Salma, Rafika Kusuma Hidayati, Syahla Talitha Khumaira, Sapta Suhardono, Silvania das Dores Tosa Pereira
article en

Abstract

Landslides are one of the most frequent natural disasters in areas with steep slopes and high rainfall, such as Ngargoyoso Village, Karanganyar. This study aimed to assess the village’s resilience level to landslide disasters from a multidimensional perspective using the RAP-DRR (Rapid Appraisal for Disaster Resilience in Rural areas) approach. The five resilience dimensions analyzed included social, economic, technological, institutional, and infrastructural aspects. Data were collected through questionnaire surveys and interviews with residents in landslide-prone areas, and were analyzed using the Multi-Dimensional Scaling (MDS) method in the Rapfish software. The results showed that the village’s overall resilience index fell into the moderately sustainable category (score 55.64), with infrastructure being the strongest aspect (82.70) and technology the weakest (36.49). The social (63.35) and institutional (50.62) dimensions reflected relatively good community participation and institutional support, while the economic dimension (45.06) indicated a continued weakness in residents’ financial resilience. These findings emphasized the importance of strategies to enhance community capacity, particularly in the technological and economic aspects, as a foundation for sustainable and adaptive disaster mitigation policies at the village level.

Springer Link (Chiba Institute of Technology)
Climate action
Openalex Percentile: Top 16%
Disaster Management and Resilience
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.