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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Built Environment and Scientific Research Civil Engineering Dimension Civil Engineering Journal
Mustika Sari
Universitas Indonesia
Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering

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Machine learning model for green building design prediction Mustika Sari; Mohammed Ali Berawi; Teuku Yuri Zagloel; Rizka Wulan Triadji
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

Abstract

Green Building (GB) is a design concept that implements sustainable processes and green technologies in the building’s life cycle. However, the design process of GB tends to take longer than conventional buildings due to the integration of various green requirements and performances into the building design. Technological advances are continually improving the quality of human life by providing solutions to problems they encounter, such as the machine learning (ML) technique utilized to develop predictive and classification models. This study aims to develop a GB design prediction by employing an ML approach by considering four GB design criteria: energy efficiency, indoor environmental quality, water efficiency, and site planning. A dataset of GB projects collected from a private construction company based in Jakarta was used to train and test the ML model. Mean Square Error (MSE) was used to evaluate the model accuracy. The comparison of MSE results of the conducted experiments showed that the combination of the ANN method with the IF-ELSE algorithm resulted in the most accurate ML model for GB design prediction with an MSE of 1.3, creating a predictive model that improves the time efficiency of GB design process.
Land Readjustment Model for Transit-Oriented Development (TOD) Projects: Generating Optimal Financial Benefits Gunawan Saroji; M. Ali Berawi; Dillan Satyagama; Mustika Sari; Roy Woodhead
Civil Engineering Journal Vol 9, No 10 (2023): October
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2023-09-10-012

Abstract

Transit-Oriented Development (TOD) projects are increasingly recognized as vital components of sustainable urban planning, aiming to create compact, walkable, and mixed-use communities centered around high-quality public transportation systems. However, implementing TOD projects poses significant challenges, especially in land acquisition and redistribution. This research addresses these issues in the context of the MRT Jakarta project and proposes a land readjustment approach as a potential solution. The study combined qualitative and quantitative methods to compare existing and ideal land use in the TOD area and benchmark successful TOD models from different countries. A comprehensive financial analysis was performed to assess the potential financial impacts of the proposed model. The analysis reveals differences between the existing land use in the Fatmawati TOD area and the ideal TOD model, suggesting the need for adjustments to achieve better land use diversity and economic vibrancy. The financial analysis demonstrates positive feasibility for the TOD project, surpassing the minimum attractive rate of return (MARR) threshold. However, the potential value of the reserved area covers only 16% of the total land readjustment (LR) costs, indicating the necessity for further measures to enhance financial feasibility. The study proposes leveraging existing apartment buildings as temporary relocation sites, optimizing resources, and increasing overall financial viability to address substantial relocation costs. Exploring different property redistribution scenarios reveals the importance of balancing landowners' benefits with the developer's financial feasibility for a successful TOD project. Overall, this research provides valuable insights and a comprehensive framework for implementing thriving and sustainable transit-oriented communities in Jakarta. Further research and collaboration among stakeholders are essential to refine the proposed model and ensure successful TOD project implementation in the future. Doi: 10.28991/CEJ-2023-09-10-012 Full Text: PDF
Developing a CMBOK 7th Based Contract Management Framework for Claim Prevention in Apartment Construction Projects: English Ivan Sulistio Prabowo; Mustika Sari; Wisnu Isvara
International Journal of Built Environment and Scientific Research Vol. 10 No. 1 (2026): International Journal of Built Environment and Scientific Research
Publisher : Department of Architecture Universitas Muhammadiyah Jakarta

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Abstract

Contract management plays an important role in preventing claims in apartment construction projects characterized by design changes, multiple stakeholders, and inconsistencies between contract documents and actual site conditions. This study aims to evaluate existing apartment project contract management practices against CMBOK 7th edition principles, identify claim-causing factors, and develop a contract management framework for claim prevention. The study employed a mixed method sequential exploration approach through document review, literature synthesis, semi-structured interviews, and CMBOK 7th based conceptual analysis. The synthesis shows that the main causes of the claim include unclear scope of work, design changes, bill of quantities ambiguity, weak contract administration, and unsystematic change control. This study proposes a CMBOK 7th based framework consisting of contract planning control, contract formation control, contract execution control, and contract learning control to strengthen claim prevention in apartment construction projects.
Optimizing Time and Cost Efficiency in Housing Construction using a Lean Construction Approach Gunawan Gunawan; Kukuh Handayani; Mohammed Ali Berawi; Mustika Sari; Siti Rahma Utami; Perdana Miraj
Civil Engineering Dimension Vol. 28 No. 2 (2026): SEPTEMBER 2026
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/ced.28.2.249-263

Abstract

Efficient time and cost control is critical in housing construction, particularly where workflow disruptions and non-value-added activities reduce project performance. This study examines the Green Royal Housing Project in Jakarta, Indonesia, to evaluate how Lean Construction can improve delivery through waste identification, activity classification, and workflow planning. Project documents, site observations, and interviews with five key stakeholders were used to classify 87 construction activities into value-added, essential non-value-added, and non-value-added categories. The analysis identified 21 non-value-added activities, mainly related to waiting, unnecessary processes, transportation inefficiencies, and inventory problems. Their elimination reduced the projected duration from 83 to 74 weeks. An LPS-informed planning framework was then used to support lookahead planning, constraint screening, and weekly work commitments. Because a four-week delay remained, a CPM-based crashing scenario was evaluated separately as a post-lean acceleration option, reducing the duration to 66 weeks. The findings clarify Lean Construction's role in improving housing project efficiency.
Co-Authors Dillan Satyagama Gunawan Gunawan Gunawan Saroji Ivan Sulistio Prabowo Kukuh Handayani M. Ali Berawi Mohammed Ali Berawi Perdana Miraj Perdana Miraj Rizka Wulan Triadji Roy Woodhead Siti Rahma Utami Teuku Yuri M. Zagloel Wisnu Isvara