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Influencing Factor of Bore Pile Delay's Work at Green Campus to Improve Time Performance Ariyanto, Paulus; Kussumardianadewi, Bernadette Detty
ASTONJADRO Vol. 14 No. 4 (2025): ASTONJADRO
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/astonjadro.v14i4.19237

Abstract

The construction of the Green Campus of Sentul Defense University has suffered a setback from the planned schedule. In its planning, this project will be carried out for 5 months from May 2024 to September 2024, but it was delayed due to foundation work.  The bore pile foundation work itself was carried out for 70 days from the 5th week to the 14th week.  The bore pile work was planned to start in the 5th week, but in its implementation, it was only done in the 10th week, so it is necessary to identify the factors causing the delay and assess the level of importance. Therefore, this study aims to rank the factors that cause delays in bore pile work using the Relative Importance Index (RII). The variables consist of Owner (X1), Consultant (X2), Contractor (X3), Environment and K3 (X4), Materials and Equipment (X5), Construction Management (X6). The research method used is quantitative survey with descriptive analysis. The results of the analysis and calculation of the RII are the dominant factor causing the delay in bore pile work based on the variable is Owner (X1). Meanwhile, the dominant factor causing delays in bore pile work based on indicators is the Owner's delay in the approval process and making design changes (X1.2). The results of this study are expected to be a reference in the next bore pile work in the green campus project.
Improving The Cost Performance of Mechanical Electrical And Plumbing (MEP) Works Buildings In Hotel Based on Building Information Modeling (BIM) 5D Husin, Albert Eddy; Sihombing, Syamsir Abe; Kussumardianadewi, Bernadette Detty; Rahmawati, Diah Ika
CSID Journal of Infrastructure Development Vol. 3, No. 2
Publisher : UI Scholars Hub

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Abstract

High-rise building projects expose a high risk due to structural design complexity, large workloads, and long project duration. The complexity of the work includes the design of Mechanical, Electrical, Plumbing (MEP), HVAC (Heating, Ventilation and Air Conditioning) systems, early warning, watering systems, hydrants, sprinklers, evacuation routes in the form of emergency stairs and fire doors. This research focuses on the application of BIM 5D to estimate and improve the cost performance of MEP work in high-rise hotel buildings. This research combines qualitative and quantitative approaches through in-depth interviews and BIM 5D modelling to achieve the research objective. The results showed influential factors for BIM implementation namely 2D Drawings, BIM 5D implementation, specification and technical plan, operator experiences, BIM 5D models, individual selection model, estimating, calculation process, cost database, and operator education. The findings of this research also show a cost efficiency of 3.56% from the BIM 5D implementation to the high-rise hotel building.
The Most Influential Factors on The Risk Cost Estimation Process of Implementing Bim 5d in Quantity Take-Off for Green Retrofitting of High-Rise Buildings Dewi, Febrianti Silviana; Latief, Yusuf; Kussumardianadewi, Bernadette Detty
CSID Journal of Infrastructure Development Vol. 7, No. 2
Publisher : UI Scholars Hub

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Abstract

Green retrofitting aims to guide buildings toward sustainable practices, reducing carbon emissions associated with building operations and construction. This study explores the application of Building Information Modeling (BIM) 5D Quantity Take-Off (QTO) to existing high-rise buildings, focusing on components that enhance the performance of environmentally friendly structures and project management. This research identifies the factors influencing the cost estimation process and examines the risks across various phases, activities, outputs, and utilization of BIM 5D in cost estimation. The study highlights the most influential factors in implementing green retrofitting for high-rise buildings using structured interviews, questionnaires, and expert validation. The analysis demonstrates that BIM 5D QTO significantly impacts the risk associated with cost estimation in green retrofitting processes. The study ranks the criteria based on respondent feedback by employing Relative Importance Index (RII) analysis. The statistical analysis identifies key factors affecting the risk of cost estimation in BIM QTO for green retrofitting of high-rise buildings. These factors include evaluating specifications, defining acceptance criteria, decomposing the high-level Work Breakdown Structure (WBS), inputting sizes and specifications of each work component into the 3D model, integrating scheduling into the 3D model, and establishing a BIM Execution Plan.