Implementing Building Information Modeling (BIM) to Enhance Efficiency and Performance in DAM Maintenance

Abstract

Dams are important infrastructures that face maintenance challenges due to limited resources, fragmented data, and inefficiencies in workflow management. Building Information Modeling (BIM), by integrating multidimensional data, offers a promising solution to overcome these challenges by improving maintenance operations through better data visualization, coordination, and decision making. The objective of this research is to investigate how BIM can improve the efficiency and performance of dam maintenance operations in Indonesia. This research uses a mixed-method approach, combining qualitative and quantitative methods. Data was collected through semi-structured interviews with dam maintenance experts and engineers, as well as field observations of projects implementing BIM. The analysis also involved a review of relevant literature on global BIM applications. Quantitative data was analyzed using statistical tools, while qualitative data was coded to identify key insights and themes. The results showed that BIM significantly improves dam maintenance efficiency by optimizing maintenance scheduling, resource allocation, and structural monitoring. BIM's 3D modeling capabilities enable early detection of structural problems, improving safety and reliability. In addition, the research identified scalability challenges for smaller-scale projects and recommended tailored solutions to ensure wider adoption. This research contributes to the development of a sustainable maintenance strategy for critical infrastructure, especially in developing countries such as Indonesia.