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EXPORT DATE: 19 June 2026

@CONFERENCE{Nugroho2026,
author={Nugroho, Andrianto Widhi and Atiekasari, Ayu Nindya and Akbar, Satria Maulana and Rayadi, Adi Tisna and Stiefani, Natasya and Setyawan, Bagus Hendri },
editor={Hamzeh, Farook and Poshdar, Mani and Garcia-Lopez,, Nelly P. },
title={AI-based safety monitoring using SKOPIA for preventing accidents in heavy equipment operations at Jragung Dam construction project}, 
journal={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
booktitle={Proceedings of the 34th Annual Conference of the International Group for Lean Construction (IGLC 34)}, 
year={2026},
pages={74-84},
url={http://www.iglc.net/papers/details/2489},
doi={10.24928/2026/0180},
affiliation={Project Manager, Jragung  Dam Construction Project, Division of  Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, andrianto.nugroho@wikamail.id , orcid.org/0009-0000-6152-9686 ; Site Manager of HSE, Jragung  Dam Construction Project, Division of  Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, nindya@wikamail.id  , orcid.org/0009-0008-1324-3841 ; Staf of Engineer, Jragung  Dam Construction Project, Division of  Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, satria.maulana@wikamail.id  , orcid.org/0009-0007-6704-8876 ; Manager of Quantity Survey, Division of  Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, aditisna@wikamail.id , orcid.org/0009-0004-3242-9941 ; Junior Expert of Risk Management, Division of  Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, natasya.s@wikamail.id , orcid.org/0009-0003-2877-696X ; Staff of Quantity Survey, Division of  Infrastructure 1, PT Wijaya Karya (Persero) Tbk, Jakarta, Indonesia, bagus.hs@wikamail.id , orcid.org/0009-0006-3419-4597 },
abstract={Construction projects involving heavy equipment operations present significant safety risks due to close interactions between workers and heavy equipment, limited visibility, and reliance on manual supervision. Heavy equipment-related accidents remain one of the leading causes of fatal incidents in infrastructure projects. This study examines the implementation of an artificial intelligence (AI)-based safety monitoring system, SKOPIA (Smart Kit & Observation Platform for Industrial Awareness), to prevent heavy equipment accidents in a dam construction project. A case study approach was adopted at the Jragung Dam Construction Project Package V in Indonesia. The system utilizes computer vision, machine learning, and real-time alert mechanisms to monitor worker and equipment movements within hazardous zones. Data were collected through field observations, near-miss records, and operational comparisons before and after implementation. The signalman observation period is January – May 2025 while the SKOPIA observation period is June – September 2025. Observations are carried out every day when work is carried out with the Transport Lift Aircraft. The findings indicate that AI-based monitoring enhances early hazard detection, reduces response time, and minimizes dependency on manual signalmen. This study contributes empirical evidence on integrating AI-enabled monitoring into proactive safety management, supporting lean construction principles and risk-based accident prevention in large-scale infrastructure projects. },
author_keywords={AI, safety, lean construction, heavy equipment operations, dam projects. },
address={Singapore, Singapore },
issn={2789-0015 },
publisher={ },
language={English},
document_type={Conference Paper},
source={IGLC},
}