Evaluating virtual reality implementation for risk register identification: A case study of architectural project works
Ryan Faza PRASETYO, Bambang Endro YUWONO, Darmawan PONTAN, RAFLIS, Feby Kartika SARI
Abstract. One of the success factors in project planning is the accuracy of the risk identification process. Traditionally, this process involves experienced individuals to effectively identify risks. However, not all projects have access to experienced resources for efficient risk identification. The implementation of Virtual Reality (VR) has the potential to provide a virtual and spatial experience, allowing users to feel as if they are in the actual field conditions. This study aims to evaluate the application of VR in the risk identification process by assessing the relevance and comparing the risks identified using VR with findings from previous research. The method used involves summarizing responses from participants to determine the dominant risks successfully identified by bring respondent to virtual reality environment that representing real condition of construction site utilizing integration of SketchUp modelling and VR Sketch Software. The research results indicate that the most frequently mentioned risks are related to falling from heights and being struck by materials or other objects on construction projects. These findings align with previous studies, which highlight that falling from heights and being struck by materials are significant risk sources leading to fatalities in construction projects, particularly in Indonesia.
Keywords
Virtual Reality, Risk Register, Risk Identification, Simulation
Published online 2/25/2025, 8 pages
Copyright © 2025 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: Ryan Faza PRASETYO, Bambang Endro YUWONO, Darmawan PONTAN, RAFLIS, Feby Kartika SARI, Evaluating virtual reality implementation for risk register identification: A case study of architectural project works, Materials Research Proceedings, Vol. 48, pp 1171-1178, 2025
DOI: https://doi.org/10.21741/9781644903414-125
The article was published as article 125 of the book Civil and Environmental Engineering for Resilient, Smart and Sustainable Solutions
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
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