Rahman, Auzan D. and Handayani, Tantri N. and Nugroho, Arief Setiawan Budi and Dewi, Nandhita N.P. and Yudhistira, Angga T. (2025) A BIM-Based System for Earned Value Analysis in Construction Projects. ASEAN Engineering Journal, 15 (3). 101 - 111.
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Abstract
Traditional methods of construction monitoring rely heavily on manual data entry and 2D drawings, leading to significant inaccuracies and inefficiencies. These challenges include difficulties in tracking progress, potential human errors, and limited alignment with earned value analysis (EVA). Building Information Modeling (BIM) is expected to address these issues. This paper proposes a BIM-based Earned Value Analysis System (BEVAS) which comprises three modules: 1) BIM Model Requirement module specifies that the 3D model should be validated using clash detection and contain parameters for progress input; 2) Progress Data Entry module describes how progress data is inputted, while 3) Earned Value Analysis and Report module details the process of transferring from the 3D model to project control databases and analyzing it using earned value analysis, generating visual and quantitative reports. BEVAS is validated through a case study of a 3-story building, demonstrating its capability in both progress monitoring and earned value analysis. This system has shown significant improvements in monitoring accuracy and ease by providing a reliable earned value analysis. It contributes valuable insights for better decision-making in construction projects.
| Item Type: | Article |
|---|---|
| Additional Information: | Cited by: 0; All Open Access; Gold Open Access |
| Uncontrolled Keywords: | Building Information Modeling (BIM); construction monitoring; project control; earned value analysis; visualization reports |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering > Civil Engineering & The Enviromental Department |
| Depositing User: | Rita Yulianti Yulianti |
| Date Deposited: | 12 May 2026 01:11 |
| Last Modified: | 12 May 2026 01:11 |
| URI: | https://ir.lib.ugm.ac.id/id/eprint/24493 |
