Performance Monitoring Model for Time and Cost Efficiency in Building Construction Projects: An Empirical Study Supporting SDG 9

Bukhori Bukhori; Antonius Antonius; Kartono Wibowo

doi:10.63230/jocsis.2.1.154

Authors

Bukhori Bukhori Universitas Swadaya Gunung Jati Author
Antonius Antonius Sultan Agung Islamic University Author
Kartono Wibowo Sultan Agung Islamic University Author

DOI:

https://doi.org/10.63230/jocsis.2.1.154

Keywords:

Building Information Modeling (BIM), Construction Project Management, Cost Performance Index (CPI), Schedule Performance Index (SPI), Earned Value Management (EVM)

Abstract

Objective: To develop and evaluate an integrated performance monitoring model based on Earned Value Management (EVM) and Building Information Modeling (BIM) to improve time, cost, and quality efficiency in building construction projects. Method: A quantitative case study approach was applied using data from 204 building construction projects in Indonesia. The analysis employed Earned Value Analysis (EVA), correlation analysis, and multiple linear regression, with support from SPSS and BIM-based simulation tools. Results: The findings show that 50% of projects achieved a Cost Performance Index (CPI) between 1.0 and 1.1, while 60% recorded a Schedule Performance Index (SPI) between 0.9 and 1.1. In addition, 75% of projects met quality standards as measured by the Quality Performance Index (QPI). The integrated model significantly improves the early detection of project deviations and enhances the efficiency of corrective actions. Novelty: Integration of Earned Value Management (EVM) and Building Information Modeling (BIM) into a unified performance monitoring framework that enables real-time, data-driven decision-making for cost, time, and quality control in construction projects under external uncertainty conditions. This integrated framework also provides practical contributions to SDG 9 (Industry, Innovation and Infrastructure) by supporting innovative, resilient, and efficient infrastructure project management through digital performance monitoring.

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