Identification of Port Resilience Variables Against Earthquake in Indonesia

Mufida Nur Aini; Mohammad Arif Rohman

doi:10.55681/sentri.v5i2.5758

Authors

Mufida Nur Aini Civil Engineering Departement, Institut Teknologi Sepuluh Nopember
Mohammad Arif Rohman Civil Engineering Departement, Institut Teknologi Sepuluh Nopember

DOI:

https://doi.org/10.55681/sentri.v5i2.5758

Keywords:

Port resilience, Earthquake, Infrastructure resilience, Indonesia, Variable identification

Abstract

Indonesia is highly exposed to seismic hazards due to its location along the Pacific Ring of Fire, making the resilience of critical infrastructure particularly portsa national priority. Ports play a strategic role in maintaining logistics continuity, supporting economic stability, and facilitating post-disaster response. However, existing studies on port resilience in Indonesia remain limited and predominantly emphasize structural aspects, with insufficient consideration of operational, managerial, and recovery-related dimensions. This study aims to identify and validate key variables influencing port resilience to earthquake hazards in the Indonesian context. The research represents an initial stage of a broader resilience assessment, with a specific focus on variable identification and relevance validation rather than framework formulation or weighting analysis. A mixed-method approach was employed, combining a systematic literature review and expert judgment. A total of 16 resilience variables across physical, operational, managerial, and environmental dimensions were identified and evaluated using a Likert-scale relevance assessment. The results show that all 16 variables were classified as relevant, with mean relevance scores ranging from 3.33 to 5.00 and low to moderate standard deviations, indicating overall agreement among experts. Several operational robustness indicators achieved perfect consensus (mean = 5.00, standard deviation = 0.00), highlighting their critical role in port resilience. These findings confirm that port resilience is inherently multidimensional, arising from the interaction of structural performance, operational continuity, managerial preparedness, and recovery capability. The validated variable set provides a robust, context-specific foundation for subsequent analytical stages and supports the development of resilience assessment models and policy-oriented port planning in earthquake-prone regions of Indonesia.

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