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

Department of Environmental Science, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, Indonesia 57126

^* Corresponding author: sapta.suhardono@staff.uns.ac.id

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.