Abstract:

General Background: The increasing complexity of building projects demands integrated digital methods to reduce inefficiencies in structural planning. Specific Background: In Indonesia, structural planning commonly relies on fragmented conventional tools that are prone to time delays, high labor costs, and calculation errors. Knowledge Gap: Empirical evidence comparing labor efficiency and quantity take-off (QTO) accuracy between conventional methods and BIM-based structural planning remains limited, particularly for hospital buildings. Aims: This study examines the application of Building Information Modeling (BIM) using Autodesk Revit in structural planning of Hospital X in Sidoarjo, focusing on labor efficiency, planning duration, and QTO accuracy. Results: The BIM-based approach reduced planning labor costs by 73–78% and shortened working time substantially, while total volume deviation between methods was only 0.025%. Novelty: This research provides a detailed comparison of structural workforce composition and cost efficiency alongside quantitative QTO deviation analysis within a single BIM workflow. Implications: The findings support BIM adoption as a reliable approach for integrated structural planning, offering practical insights for engineers and decision-makers to optimize resources, accuracy, and coordination in building projects.

Highlights:

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  BIM integrates structural modeling and QTO within a single digital platform.

  
  


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  Significant reduction in labor cost and planning duration was identified.

  
  


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  QTO results showed minimal deviation compared to conventional methods.

  
  

Keywords: Building Information Modeling; Autodesk Revit; Structural Planning; Quantity Take Off; Hospital Building