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Author

J. Anggawan

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Open access Sep 2026

Application of Gradient Boosting for Predicting Cost Overrun in Construction Projects

Cost overrun remains a major challenge in construction project management, particularly in regions characterized by geographical constraints, logistical complexity, and high project uncertainty. Conventional statistical approaches often struggle to capture nonlinear relationships among factors associated with construct...

J. Anggawan, A. Irawan, M. Waty · 0 citations
Review Open access Jul 2026

Application of Machine Learning in Predicting Project Cost Overruns: A Review

Machine Learning has great potential in supporting early warning systems and data-driven decision-making to control the risk of project cost overruns and is concluded to produce higher levels of accuracy than traditional statistical methods or single ML models.

J. Anggawan, Agustinus Purna Irawan, M. Waty · 0 citations

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