Arief Setiawan Budi Nugroho
Civil And Environmental Engineering Department, Faculty Of Engineering, Universitas Gadjah Mada

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Journal : Civil Engineering Dimension

Developing Building Management System Framework using Web-based-GIS and BIM Integration Brigitta Petra Kartika Narindri; Arief Setiawan Budi Nugroho; Akhmad Aminullah
Civil Engineering Dimension Vol. 24 No. 2 (2022): SEPTEMBER 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.419 KB) | DOI: 10.9744/ced.24.2.71-84

Abstract

Building Information Modeling (BIM) and Geographic Information systems (GIS) are two digital system innovations advantageously applied in the Architecture, Engineering, Construction, and Operations (AECO) sectors. GIS and BIM integration development is indispensable in building and infrastructure management. This integration promises several benefits for the operational phase of buildings and infrastructures. However, it faces challenges in data transformation and collaboration. This study proposes a framework and model for a web-based building management platform. The framework is developed by transforming BIM data into the GIS environment using the latest technology from ArcGIS. It allows data-sharing and collaboration among stakeholders, help build management, and is valuable for decision-making. The stakeholders, who do not need a BIM-GIS expert, could virtually see the report and updates of this building model every time.
Risk Analysis of Modest Housing Projects Scheduling using Monte Carlo Simulation Mochammad Fikri Nur Djohim; Arief Setiawan Budi Nugroho; Tantri Nastiti Handayani
Civil Engineering Dimension Vol. 26 No. 2 (2024): SEPTEMBER 2024
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ced.26.2.160-172

Abstract

It is crucial to address uncertainties in the construction project scheduling to mitigate delays. Probabilistic simulation offers a viable alternative method. This study examined the relationship between project duration and delay risks, as well as identified the most influential activities for modest housing projects using Monte Carlo Simulation. The simulation analysis, which included 2547 iterations, found that, on average, it took 87.39 days to complete a 54-type modest house project, with the shortest and longest durations being 44 and 149 days, respectively. The sensitivity analysis revealed that finishing works, such as painting, doors/windows installation, and cleaning, had the highest uncertainty and significantly affected the project duration. Additionally, the severity analysis showed that wall work was the most impactful activity contributing to delays. Based on these analyses, both finishing works and wall work were identified as the most critical activities significantly influencing the project's completion duration.