Sapta Suhardono, Laili Fitria, Wisnu Prayogo, Chun-Hung Lee, I Wayan Koko Suryawan
This research investigates the adoption of digital twin technology for marine debris management in Bali, focusing on the regions of Denpasar, Badung, Gianyar, and Tabanan. Digital twin technology involves creating virtual models that replicate physical environments and processes, enabling real-time monitoring and simulation. This capability is particularly crucial in Bali, where marine debris presents significant ecological and economic challenges. Digital twin technology offers a strategic advantage by allowing detailed scenario analysis and optimization of management strategies. Using Structural Equation Modeling (SEM), the study evaluates the influence of four key factors within a community resilience framework on the willingness to adopt digital twins: risk perception, planning capability, coping ability, and interest level. The findings suggest that heightened awareness through targeted workshops and campaigns significantly boosts the community's willingness to engage with digital twin technology, highlighting the impact of risk perception. In terms of planning capability, strong processes such as the creation of action plans and task forces are crucial for integrating digital twins into marine debris management strategies. Additionally, robust coping mechanisms, which benefit from access to advanced technologies for real-time response, correlate with a greater readiness to adopt digital twins. Lastly, active community involvement in environmental initiatives indicates a higher propensity to support innovative technological solutions, underscoring the importance of interest level. The study emphasizes the critical role of these factors in creating an environment conducive to the adoption of digital twin technology in Bali. By enhancing these aspects of the community resilience framework, the region can more effectively leverage digital twins to address its marine debris problem. This research offers valuable insights for policymakers, practitioners, and researchers dedicated to enhancing sustainability and resilience through advanced technological interventions. © 2025 The Authors.
Environmental Sciences Study Program, Faculty of Mathematics and Natural Sciences, Universitas Sebelas Maret, Surakarta, 57126, Indonesia; Department of Environmental Engineering, Universitas Tanjungpura, Pontianak, 78124, Indonesia; Department of Building Engineering Education, Universitas Negeri Medan, Medan, Indonesia; Department of Natural Resources and Environmental Studies, College of Environmental Studies and Oceanography, National Dong Hwa University, Hualien, 97401, Taiwan; Department of Environmental Engineering, Faculty of Infrastructure Planning, Universitas Pertamina, Jalan Sinabung II, Terusan Simprug, Jakarta, 12220, Indonesia; Center for Environmental Solution (CVISION), Universitas Pertamina, Jalan Sinabung II, Terusan Simprug, Jakarta, 12220, Indonesia; Center for Interdisciplinary Research on Ecology and Sustainability, College of Environmental Studies and Oceanography, National Dong Hwa University, Hualien, 97401, Taiwan
