Accuracy assessment of BIM 5D-based quantity take-off for concrete and reinforcement works: A case study of a three-story building project
Main Article Content
Abstract
Accurate quantity take-off is essential for construction cost estimation, procurement, and project control, particularly for reinforced-concrete structural works. This study evaluates the accuracy of BIM 5D-based quantity take-off generated by Tekla Structures and Cubicost for concrete and reinforcement works in a three-story building project in Surakarta, Indonesia. A quantitative comparative case-study design was applied using the same structural drawings, reinforcement details, manual calculation recapitulations, and consultant bill of quantities (BOQ). Manual calculation was treated as a controlled analytical reference rather than an error-free ground truth, while the consultant BOQ was used as a secondary practical benchmark. The analysis used absolute deviation, percentage deviation, mean absolute percentage error (MAPE), root mean square error (RMSE), mean bias, Bland-Altman limits of agreement, and R² as supporting exploratory indicators. Based on the corrected element-level quantities, Tekla Structures and Cubicost produced concrete deviations of 1.803 m³ (0.30%) and 3.341 m³ (0.55%), respectively. For reinforcement, Tekla Structures and Cubicost produced deviations of 9,879.109 kg (9.07%) and 1,379.923 kg (1.27%), respectively. Deviations relative to the consultant BOQ ranged from 11.83% to 12.36% in the project-documentation comparison. The findings indicate that concrete quantities were relatively stable because they were primarily geometry-based, whereas reinforcement quantities were more sensitive to modelling assumptions, detailing rules, and extraction settings. The contribution of this study is a case-specific BIM 5D validation framework that separates analytical accuracy from BOQ agreement and highlights the importance of work-item sensitivity in structural quantity estimation.
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Chen B, Jiang S, Qi L, Su Y, Mao Y, Wang M, et al. Design and implementation of quantity calculation method based on BIM data. Sustainability. 2022;14(13):7797. DOI: https://doi.org/10.3390/su14137797
Deore SP, Joshi DA. Comparative analysis of traditional methods and Building Information Modeling (BIM) in construction project cost estimation. Int J Res Appl Sci Eng Technol. 2024;12(5):846-52. DOI: https://doi.org/10.22214/ijraset.2024.61705
Khosakitchalert C, Yabuki N, Fukuda T. Development of BIM-based quantity takeoff for light-gauge steel wall framing systems. J Inf Technol Constr. 2020;25:522-544. DOI: https://doi.org/10.36680/j.itcon.2020.030
Wahab A, Wang J. Factors-driven comparison between BIM-based and traditional 2D quantity takeoff in construction cost estimation. Eng Constr Archit Manag. 2021;29(2):702-15. DOI: https://doi.org/10.1108/ECAM-10-2020-0823
Abdulwahhab R, Naimi S, Abdulla R. Managing cost and schedule evaluation of a construction project via BIM technology and experts' points of view. Math Model Eng Probl. 2022;9(6):1515-22. DOI: https://doi.org/10.18280/mmep.090611
Liu H, Cheng JCP, Gan VJL, Zhou S. A knowledge model-based BIM framework for automatic code-compliant quantity take-off. Autom Constr. 2022;133:104024. DOI: https://doi.org/10.1016/j.autcon.2021.104024
Belcher EJ, Abraham YS. Lifecycle applications of Building Information Modeling for transportation infrastructure projects. Buildings. 2023;13(9):2300. DOI: https://doi.org/10.3390/buildings13092300
Moses T, Heesom D, Oloke D. Implementing 5D BIM on construction projects: contractor perspectives from the UK construction sector. J Eng Des Technol. 2020;18(6):1867-88. DOI: https://doi.org/10.1108/JEDT-01-2020-0007
Alasmari E, Martinez-Vazquez P, Baniotopoulos C. A systematic literature review of the adoption of Building Information Modelling (BIM) on life cycle cost (LCC). Buildings. 2022;12(11):1829. DOI: https://doi.org/10.3390/buildings12111829
Fariq N, Ismail S, Rani NIA. Effective 5D BIM requirements for risk mitigation during pre-contract stage. J Surv Constr Prop. 2022;13:12-9. DOI: https://doi.org/10.22452/jscp.sp2022no1.2
Farhana A, Abma V. Implementation of the 5D BIM concept in structural work of a building project. Jurnal Rab Contruction Research. 2022;7(2):116-27. (In Indonesian) DOI: https://doi.org/10.36341/racic.v7i2.3004
Hosamo HH, Rolfsen CN, Zeka F, Sandbeck S, Said S, Saetre MA. Navigating the adoption of 5D Building Information Modeling: insights from Norway. Infrastructures. 2024;9(4):75. DOI: https://doi.org/10.3390/infrastructures9040075
Herdyana H, Suroso A. The impacts of 5D-Building Information Modeling on construction's time and cost performance. Sinergi. 2023;27(3):393-404. DOI: https://doi.org/10.22441/sinergi.2023.3.010
Adipratama MH, Khatimi H. Comparison of the effectiveness of Building Information Modeling based cost estimation against the contractor's cost budget plan in development project of Banjarbaru Bauntung Market. Cerucuk. 2022;6(2):97-110. DOI: https://doi.org/10.20527/crc.v6i2.5832
Azizi NSM, Yu TZ, Azizi Z. Preliminary study of changes in work practices of quantity surveyors in Building Information Modelling (BIM) projects. Int J Sustain Constr Eng Technol. 2021;12(1):140-52. DOI: https://doi.org/10.30880/ijscet.2021.12.01.014
Borjigin AO, Sresakoolchai J, Kaewunruen S, Hammond J. Digital twin aided sustainability assessment of modern light rail infrastructures. Front Built Environ. 2022;8:796388. DOI: https://doi.org/10.3389/fbuil.2022.796388
Kim JY, Lee D, Kim GH. Measurement of work progress using a 3D laser scanner in a structural framework for sustainable construction management. Sustainability. 2024;16(3):1215. DOI: https://doi.org/10.3390/su16031215
Ghanem SY. Implementing virtual reality-Building Information Modeling in the construction management curriculum. J Inf Technol Constr. 2022;27:48-69. DOI: https://doi.org/10.36680/j.itcon.2022.003
Sampaio AZ. The University of Lisbon's short professional course in BIM: practice, construction, structures and historic buildings. Architecture. 2022;2(2):406-23. DOI: https://doi.org/10.3390/architecture2020022
Parmono, Nuraini I, Supriatna N, Suryadi D. Analysis of the calculation of rebar beam structure of floor 6 Zone 1 Indigo Bandung Hotel Project using Building Information Modeling (BIM). Jurnal Pensil. 2023;12(2):273-84. DOI: https://doi.org/10.21009/jpensil.v12i2.34645
Zupan E, Belizario-Silva F, Fonseca J, Habert G. Parametric LCA tool for assessing whole-life carbon emissions of electrical substations utilizing BIM. IOP Conf Ser: Earth Environ Sci. 2025;1554(1):012044. DOI: https://doi.org/10.1088/1755-1315/1554/1/012044
Elghaish F, Abrishami S, Hosseini MR, Abu-Samra S. Revolutionising cost structure for integrated project delivery: a BIM-based solution. Eng Constr Archit Manag. 2021;28(4):1214-40. DOI: https://doi.org/10.1108/ECAM-04-2019-0222
Laily FN, Husni HR, Bayzoni. Comparison of BoQ calculation using Revit 2019 and conventional BoQ calculation for structural work: case study of Building G, Faculty of Agriculture, University of Lampung. Rekayasa Jurnal Ilmiah Fakultas Teknik Universitas Lampung. 2021;25(2):27-31. (In Indonesian) DOI: https://doi.org/10.23960/rekrjits.v25i2.30
Veselka J, Nehasilova M, Dvorakova K, Ryklova P, Volf M, Ruzicka J, et al. Recommendations for developing a BIM for the purpose of LCA in green building certifications. Sustainability. 2020;12(15):6151. DOI: https://doi.org/10.3390/su12156151
Trochymiak W, Krygier A, Stachura M, Jaworski J. The BIM 5D model of the bridge built using the incremental launching method. Arch Civ Eng. 2023;69(3):157-72.
Kamaruzzaman SN, Suznan SN, Myeda NE. Building Information Modelling Facilities Management (BIMFM) coordination for digital construction project. J Facil Manag. 2023;21(4):535-55. DOI: https://doi.org/10.1108/JFM-10-2021-0127
Senekovic J, Gaudart D, Heil MF, Arnold R, Krasa J. BIM tunneling documentation in Rohbaustollen Angath. Civ Eng Des. 2024;6(4):150-7. DOI: https://doi.org/10.1002/cend.202400039
Fazeli A, Banihashemi S, Hajirasouli A, Mohandes SR. Automated 4D BIM development: the resource specification and optimization approach. Eng Constr Archit Manag. 2024;31(5):1896-922. DOI: https://doi.org/10.1108/ECAM-07-2022-0665
Kumar A, Arora HC, Kumar K, Mohammed MA, Majumdar A, Khamaksorn A, et al. Prediction of FRCM–Concrete Bond Strength with Machine Learning Approach. Sustainability. 2022;14(2):845. DOI: https://doi.org/10.3390/su14020845
Soon LT, Wong LS, Kamarazaly MA, Saar CC, Ilmi HS. Comparison of BIM-based quantities take-off in quantity surveying profession. Planning Malaysia. 2024;22(3):150-64. DOI: https://doi.org/10.21837/pm.v22i32.1499
Akbar MHU, Sucita IK, Yanuarini E. Comparison between the BOQ of conventional and BIM method on BPJS Building in Central Jakarta. Logic Jurnal Rancang Bangun dan Teknologi. 2021;21(1):31-9. DOI: https://doi.org/10.31940/logic.v21i1.2260
Dhopte S, Daga A. Exploring the journey of BIM in the Indian AECO industry (2008–2022) an excelize perspective. CSIT. 2022;10(2):159-74. DOI: https://doi.org/10.1007/s40012-022-00364-9
Ezzat M, Gerges VF, Elsharkawy A, Hassan AA. BIM integration for cost management included inflation and market volatility. IOP Conf Ser: Earth Environ Sci. 2025;1530(1):012043. DOI: https://doi.org/10.1088/1755-1315/1530/1/012043
Viswalekshmi BR, Bendi D. A comprehensive model for quantifying construction waste in high-rise buildings in India. Waste Manag Res J Sustain Circ Econ. 2024;42(2):111-25. DOI: https://doi.org/10.1177/0734242X231178227
Benzidane A, Saade M, Simon O, Antoinet E, Duran C, Feraille A. Integrating BIM and LCA for sustainable high-speed rail infrastructure: a framework for early design stage environmental assessment. IOP Conf Ser: Earth Environ Sci. 2025;1554(1):012122. DOI: https://doi.org/10.1088/1755-1315/1554/1/012122
Elsayed AM, Abdelalim AM, Elhakeem A, Said SOM. A proposed framework for the integration of value engineering and Building Information Modeling. Eng Res J. 2024;182(2):322-40. DOI: https://doi.org/10.21608/erj.2024.359250
Felisberto AD, Marchiori FF, Love P, Signor R. BIM cost estimation guidelines for Brazilian public sector infrastructure. PARC Pesquisa em Arquitetura e Construcao. 2021;12:e021004. DOI: https://doi.org/10.20396/parc.v12i00.8659766
Jayasinghe LB, Waldmann D. Development of a BIM-based web tool as a material and component bank for a sustainable construction industry. Sustainability. 2020;12(5):1766. DOI: https://doi.org/10.3390/su12051766
