Innovative virtual reality solutions for technical training in heavy construction equipment repair and maintenance

The construction industry is significantly impacted by heavy construction equipment, including bulldozers, excavators, and vehicles. This equipment speeds up building, moves supplies, and builds infrastructure. Using heavy construction equipment correctly can boost productivity and shorten project timelines. Due to their complexity and scale, this equipment must be maintained and repaired. Poor maintenance and repair of heavy construction equipment can reduce performance, damage, and even cause accidents. Due to these problems, this study focuses on the design and development of a simulation training application to enhance the technical skills of workers in maintaining and repairing heavy construction equipment using virtual reality (VR) technology, the development of this application will be carried out using Unreal Engine 5 and thereafter tested and implemented at PT Menara Indonesia or M-Knows Consulting, Indonesia. At the end of this study, the design and development of a VR training simulation application for heavy equipment repair has been successfully completed. After testing the VR application and conducting user acceptance tests, it was concluded that the created VR application greatly assists M-Knows Consulting in training workers to perform maintenance and repair on heavy equipment, with a user acceptance rate of 84%.

Authors

Institutions

Publication Details

Journal
Indonesian Journal of Electrical Engineering and Computer Science
Published
2024-10-31
DOI
https://doi.org/10.11591/ijeecs.v37.i1.pp627-635
Citations
2
Primary Topic
Transport and Logistics Innovations
Type
article
Field-Weighted Citation Impact
0.70

Funders

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article

Innovative virtual reality solutions for technical training in heavy construction equipment repair and maintenance

Wirawan Istiono, Andhika Nugraha Wira Pratama
2 citations
Indonesian Journal of Electrical Engineering and Computer Science
Transport and Logistics Innovations
0.70
article

Innovative virtual reality solutions for technical training in heavy construction equipment repair and maintenance

Wirawan Istiono, Andhika Nugraha Wira Pratama
article en
2 citations

Abstract

The construction industry is significantly impacted by heavy construction equipment, including bulldozers, excavators, and vehicles. This equipment speeds up building, moves supplies, and builds infrastructure. Using heavy construction equipment correctly can boost productivity and shorten project timelines. Due to their complexity and scale, this equipment must be maintained and repaired. Poor maintenance and repair of heavy construction equipment can reduce performance, damage, and even cause accidents. Due to these problems, this study focuses on the design and development of a simulation training application to enhance the technical skills of workers in maintaining and repairing heavy construction equipment using virtual reality (VR) technology, the development of this application will be carried out using Unreal Engine 5 and thereafter tested and implemented at PT Menara Indonesia or M-Knows Consulting, Indonesia. At the end of this study, the design and development of a VR training simulation application for heavy equipment repair has been successfully completed. After testing the VR application and conducting user acceptance tests, it was concluded that the created VR application greatly assists M-Knows Consulting in training workers to perform maintenance and repair on heavy equipment, with a user acceptance rate of 84%.

Indonesian Journal of Electrical Engineering and Computer ScienceVol. 37(1)
Multimedia Nusantara University (ID)
Universitas Multimedia Nusantara
Openalex Percentile: Top 25%
Transport and Logistics Innovations
0.70
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Innovative virtual reality solutions for technical training in heavy construction equipment repair and maintenance — Wirawan Istiono, Andhika Nugraha Wira Pratama · Indonesian Journal of Electrical Engineering and Computer Science (2024) | TGRS Research Map | TGRS