Analysis of Building Information Modeling (BIM) 4D-5D Method to Minimize the Occurrence of Variation Orders in Design and Build Contract Models

Abstract

Reducing VO in the Design and Build contract model requires increased coordination, communication, and change management between the design team, project implementers, and service providers. This study aims to analyze the effect of BIM 4D and BIM 5D on the Order of Variations in the Design and Building contract model, as well as the effect of their combinations. This study examines the effectiveness of applying the 4D and 5D BIM methods to mitigate work changes in projects. Data was collected through questionnaires and analyzed with SPSS for Windows. The results showed that the BIM 4D variable had a significant effect on the use of Variation Order to reduce post-construction changes. The X1 BIM 4D coefficient (β1) is 0.937 indicating that an increase in X1 BIM 4D by 1 increases the Y1 Variation Order by 0.937. Regression analysis showed a tcount of 4.343 which is significant at the 0.05 level (p<0.05). The 5D BIM variable has a significant effect on Variation Order in reducing post-construction-growth changes. The coefficient value of β2 X2 BIM 5D is 0.120 and is positive, which means that every 1-time increase in X2 BIM 5D will increase Y1 Financial Performance by 0.120. The results of the regression analysis showed an F - count value of 3.764 and a significance of 0.041. The results of data processing show a Fcount value of 83.893 and a significance of 0.000. H0 and Ha are accepted. BIM 4D and BIM 5D have a significant effect on Variation Order as a tool for minimizing post-construction growth changes. The application of 4D and 5D BIM technologies helps mitigate construction project risks through simulating project steps, training project teams, visualizing changes/requests using BIM, and storing material specification information in BIM models. BIM technology reduces risks and increases the effectiveness of construction projects.