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All Journal Multidiciplinary Output Research for Actual and International Issue (Morfai Journal)
Roma Dearni
Politeknik Negeri Bengkalis
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ACCURACY ASSESSMENT OF BIM-BASED AUTODESK REVIT FOR CONCRETE AND REINFORCEMENT QUANTITY TAKE-OFF IN BRIDGE STRUCTURES Muhamad Aidil Fikri; Gunawan; Roma Dearni
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 4 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.20772573

Abstract

The development of Building Information Modeling (BIM) technology has accelerated digital transformation in the construction industry, particularly in improving the efficiency and accuracy of quantity estimation processes. However, Quantity Take-Off (QTO) calculations for bridge structures are still commonly performed using conventional methods, which are susceptible to human error and require considerable time. This study aims to evaluate the accuracy of BIM-based Autodesk Revit in estimating concrete and reinforcement quantities by comparing its results with conventional calculations on the Station VII B Bridge Project in Dumai City. A quantitative comparative approach was employed through three-dimensional modeling using Autodesk Revit 2024 and conventional quantity calculations based on Detailed Engineering Design (DED) documents. The resulting quantities were analyzed using Average Error and Root Mean Square Error (RMSE) to assess the level of agreement between the two methods. The results indicate that concrete quantity estimation recorded an Average Error of 1.455% with an RMSE value of 0.712 m³, while reinforcement quantity estimation showed an Average Error of 1.765% and an RMSE value of 0.016 m³. These findings demonstrate that Autodesk Revit is capable of producing quantity estimates that are highly consistent with conventional calculations while providing greater efficiency and reducing the potential for manual calculation errors. Therefore, Autodesk Revit can be considered a reliable alternative for Quantity Take-Off applications in bridge construction projects.
QUANTITY TAKE-OFF COMPARISON OF CONVENTIONAL AND BIM-BASED CUBICOST METHODS: A CASE STUDY OF SMPN 2 MEGALUH M. Bayu Fernando Syahfikri; Dedi Enda; Roma Dearni
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 6 No. 5 (2026): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21704716

Abstract

Quantity Take-Off (QTO) is an essential process in construction projects as it directly influences cost estimation and project planning. Conventional quantity calculation methods often require more time and are prone to errors due to the manual interpretation of construction drawings. This study aims to compare the Quantity Take-Off results obtained using the conventional method and the Building Information Modeling (BIM) approach through Cubicost software in the construction project of SMPN 2 Megaluh. The BIM model was developed based on architectural, structural, and mechanical-electrical drawings using the Take-off for Architecture and Structure (TAS), Take-off for Reinforcement Bar (TRB), and Take-off for Mechanical, Electrical, and Plumbing (TME) modules. The quantities generated by Cubicost were then compared with those obtained through conventional calculations. The results indicate that most work categories produced relatively small deviations, demonstrating a good level of agreement between the two methods. The largest deviations in the TAS module were observed in ceiling works (15.93%) and earthworks (15.71%), while several work categories produced identical results. Quantity differences in the TRB and TME modules were generally influenced by modeling details, drawing interpretation, and calculation procedures. Overall, the BIM-based approach using Cubicost proved to be more efficient, integrated, and consistent in generating Quantity Take-Off data, making it a reliable alternative to conventional methods for construction quantity estimation.
Co-Authors Enda, Dedi Enda Gunawan M. Bayu Fernando Syahfikri Muhamad Aidil Fikri