Analisis Kendala dan Strategi Implementasi Augmented Reality Berbasis BIM untuk Quality Control Pekerjaan MEP pada Proyek Rumah Sakit X Analysis of Obstacles and Strategies for Implementing BIM-Based Augmented Reality for Quality Control of MEP Work in Hospital Project X
Article Sidebar
Page Numbers:
1227-1247
Digital Object Identifier:
10.58578/masaliq.v6i3.9981
Viewed: 47 times
Downloaded: 39 times
LYAS Publisher cordially invites qualified professionals to serve as Editors or Reviewers. Your expertise will make an important contribution to maintaining and strengthening the academic quality of our publications. Interested applicants are kindly requested to complete the application form at the following link: Editors & Reviewers
Please feel free to contact us if you need any further information about the submission process or if you have any additional questions.
Authors:
Fadhil Muhammad Suheri1, Ari Syaiful Rahman Arifin2, Faisal Ashar3, Muvi Yandra4 
Copyright :
Authors retain copyright and grant the journal right of first publication.
Main Article Content
Abstract
The application of digital technology in construction is developing through the integration of Building Information Modeling (BIM) and Augmented Reality (AR), particularly to improve the effectiveness of quality control during the project implementation stage. However, the implementation of AR in construction work still faces obstacles, particularly related to workflow integration, human resource readiness, and the absence of Standard Operating Procedures (SOP). This study aimed to analyze the obstacles and formulate strategies for implementing BIM-based AR in the quality control of Mechanical, Electrical, and Plumbing (MEP) work on Hospital X project. This study used a descriptive qualitative approach with an evaluative design. Data were collected through observation, interviews with nine informants, and documentation, and were then analyzed using coding and categorization techniques. The results showed that BIM-based AR was able to improve visualization and the accuracy of MEP installation verification through comparison between digital model overlays and actual field conditions. However, its use had not been optimal because it had not been systematically integrated into the quality control workflow. The main obstacles identified were managerial in nature, especially the absence of SOP as an implementation reference. Thus, the required strategies include integrating AR into the quality control workflow, preparing operational guidelines, and developing standardized documentation to support the improvement of MEP work quality in construction projects.
Downloads
Article Details
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
References
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches (4th ed.). SAGE Publications.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
El Masry, A., & Chronéer, D. (2025). Obstacles to BIM adoption in construction production: A study of Swedish construction contractors’ experiences. Buildings, 15(18), 3288. https://doi.org/10.3390/buildings15183288
Jatmiko, A. D., Poerwanto, L., Tedja, B. G., Louis, L. E., Alexander, D., & Surya, A. (2023). Pemodelan Building Information Modeling Bangunan Rumah Sakit untuk Pengecekan Volume dan Bentrokan. Arsitekta: Jurnal Arsitektur dan Kota Berkelanjutan, 5(1), 1–7. https://doi.org/10.47970/arsitekta.v5i01.369
Kassem, M., & Ahmed, A. L. (2022). Digital transformation through Building Information Modelling: Spanning the macro-micro divide. Technological Forecasting and Social Change, 184, 122006. https://doi.org/10.1016/j.techfore.2022.122006
May, K. W., KC, C., Ochoa, J. J., Gu, N., Walsh, J., Smith, R. T., & Thomas, B. H. (2022). The identification, development, and evaluation of BIM-ARDM: A BIM-based AR defect management system for construction inspections. Buildings, 12(2), 140. https://doi.org/10.3390/buildings12020140
Olanrewaju, A., Tee, S. H., Lim, P. I., & Wong, W. F. (2022). Defect management of hospital buildings. Journal of Building Pathology and Rehabilitation, 7(1), 19. https://doi.org/10.1007/s41024-021-00159-6
Pan, N.-H., & Isnaeni, N. N. (2024). Integration of augmented reality and Building Information Modeling for enhanced construction inspection—A case study. Buildings, 14(3), 612. https://doi.org/10.3390/buildings14030612
Patton, M. Q. (2002). Qualitative Research and Evaluation Methods (3rd ed.). SAGE Publications.
Rani, H. A., Al-Mohammad, M. S., Rajabi, M. S., & Rahman, R. A. (2023). Critical government strategies for enhancing Building Information Modeling implementation in Indonesia. Infrastructures, 8(3), 57. https://doi.org/10.3390/infrastructures8030057
Rogers, E. M. (2003). Diffusion of Innovations (5th ed.). Free Press.
Sidani, A., Dinis, F. M., Duarte, J., Sanhudo, L., Calvetti, D., Baptista, J. S., Martins, J. P., & Soeiro, A. (2021). Recent tools and techniques of BIM-based augmented reality: A systematic review. Journal of Building Engineering, 42, 102500. https://doi.org/10.1016/j.jobe.2021.102500
Sthapit, I., & Olbina, S. (2026). Digital twin (DT) and extended reality (XR) in the construction industry: A systematic literature review. Buildings, 16(3), 517. https://doi.org/10.3390/buildings16030517