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All Journal Civil Engineering Journal Smart City J-Sil (Jurnal Teknik Sipil dan Lingkungan) Journal of Project Management Research
Laksono, Naufal Budi
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Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Engineering Environmental Science Industrial & Manufacturing Engineering Transportation

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 1 
Sustainable Infrastructure Development in The IKN Region (Nusantara Capital): Simulation of The Smart Self-Sustaining Urban Center Area Development Laksono, Naufal Budi; Latief, Yusuf
Smart City Vol. 4, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Embarking on the quest for a sustainable urban future, this research immerses itself in the vibrant landscape of "Sustainable Infrastructure Development in the IKN Region (Nusantara Capital)." This study investigates the financial viability and economic attractiveness of the Five City project, focusing on efficient infrastructure management for sustainable settlement development. The core facility comprises four vertical residential towers with supporting amenities. The research aims to evaluate the project''s feasibility over a 25-year investment period through comprehensive financial analyses.The research employs a structured approach, encompassing regulatory analysis, stakeholder identification, financial capability analysis, and risk management. Parameters such as Net Present Value (NPV), Benefit/Cost Ratio (BCR), Internal Rate of Return (IRR), and Payback Period are used for economic feasibility analysis. The study employs a detailed Risk Breakdown Structure (RBS) and Risk Register for risk management. The results collectively highlight the project''s promising economic outlook and proactive risk management approach.In conclusion, the study underscores the feasibility of the Five City project as a sound venture in project financing. The findings contribute valuable insights into infrastructure development, project finance, and risk management, providing a blueprint for sustainable housing projects in the Nusantara Capital Region. Recommendations include continuous monitoring, transparent communication, and adaptability for long-term success.
Fuzzy Bayesian Belief Networks Method on Risk Assessment of EPC Pipeline Project Yusuf, Muhammad; Latief, Yusuf; Rarasati, Ayomi Dita; Trigunarsyah, Bambang; Laksono, Naufal Budi
Civil Engineering Journal Vol 11, No 3 (2025): March
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-03-013

Abstract

Subsea gas pipeline projects are experiencing significant technical and managerial challenges across Engineering, Procurement, and Construction (EPC) phases. To address the challenges, effective risk management in the early project phases is essential to mitigating cascading failures that cause significant schedule delay and cost overrun. Therefore, this study aimed to apply the Fuzzy Bayesian Belief Networks (FBBNs) method to model risk assessment during EPC phases. The findings showed that FBBNs made it possible for a new way to evaluate risks, find interdependencies, and guess what would happen next, which created a strong framework for reducing risk. Based on probabilistic analysis as supported by expert elicitation, risks from the early phase of engineering and procurement showed high probabilities of occurrence, including Incompetent Personnel, Project Mismanagement, Unsupportive Stakeholder, Corruption, and Design Inaccuracies. A significant impact was also observed on Construction Rework, Material Quantity Increase, Construction Delay, and Cost Overrun. The results showed the importance of addressing systemic issues early in the EPC project lifecycle, emphasizing personnel competency, design accuracy, strategic and project management planning, procurement management, stakeholder management, and constructability preparation to reduce vulnerabilities. This integrated method aimed to enhance accuracy predictions by determining causal risk probability relationships in high-risk offshore environments of EPC subsea gas pipeline projects. Doi: 10.28991/CEJ-2025-011-03-013 Full Text: PDF
Optimizing Organizational Performance in Bridge Maintenance using Stakeholder Analysis Karim, Rully Andhika; Laksono, Naufal Budi; Ardiyanto, Fahreza; Latief, Yusuf; Trigunarsyah, Bambang
Jurnal Teknik Sipil dan Lingkungan Vol. 10 No. 1: April 2025
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.10.1.127-138

Abstract

Bridge maintenance and care is an important aspect in maintaining the safety and efficiency of transportation infrastructure. However, challenges in coordination between various stakeholders often hamper operational effectiveness. This study aims to analyze the organization of bridge maintenance and care work using a stakeholder analysis approach, in order to improve organizational performance. The methods used in this study are qualitative and quantitative approaches, involving data collection through in-depth interviews and surveys of stakeholders, including the government, contractors, and user communities. The data obtained were analyzed to identify factors that influence organizational performance in bridge maintenance. The results show that active stakeholder involvement and effective communication contribute significantly to increasing efficiency and effectiveness in the bridge maintenance process. This study confirms that the application of stakeholder analysis can improve organizational performance in bridge maintenance by strengthening relationships between stakeholders and responding to their needs and expectations. Practical recommendations for the implementation of this strategy are presented, including the importance of communication training and collaboration between stakeholders. This study is expected to contribute to the development of policies and best practices in bridge infrastructure maintenance in the future.
Optimizing Dam Maintenance: An Integrated BIM-WBS Operational Model Fitria, Diana Rohmatul; Latief, Yusuf; Saleh, Toha; Laksono, Naufal Budi
Journal of Project Management Research Vol. 1 No. 1 (2025): Journal of Project Management Research
Publisher : Avenew Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65303/journalpmresearch.v1i1.14

Abstract

This study addresses the challenges of inefficient dam maintenance by proposing and validating an integrated operational model that leverages Building Information Modelling (BIM) and Work Breakdown Structure (WBS).  Traditional dam maintenance often suffers from poor coordination, inadequate resource allocation, and scheduling delays. To overcome these limitations, this research developed a novel model that seamlessly integrates BIM's 3D visualization and data management capabilities with the hierarchical structure of WBS.  A mixed-method approach, combining literature review, expert validation, and a case study application, was employed to develop and evaluate the model.  The resulting operational model demonstrated improved task efficiency, resource optimization, and stakeholder collaboration through real-time task tracking, streamlined workflows, and enhanced prioritization of maintenance activities. Expert feedback confirmed the model's practicality and effectiveness in resolving common maintenance issues, highlighting its potential to improve communication, reduce delays, and increase the accuracy of maintenance planning. The validated BIM-WBS integrated model provides a robust framework for enhancing dam maintenance performance, offering data-driven decision-making and improved stakeholder collaboration. Future research directions include exploring the model's applicability to other infrastructure types and integrating real-time technologies like IoT and AI for predictive maintenance capabilities.
Co-Authors Ardiyanto, Fahreza Bambang Trigunarsyah, Bambang Fitria, Diana Rohmatul Karim, Rully Andhika Muhammad Yusuf Rarasati, Ayomi Dita Saleh, Toha Yusuf Latief