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Civil Engineering Science and Technology (CEST)
Published by Universitas Sains Dan Teknologi Komputer
ISSN : 30896908     EISSN : 30896894     DOI : 10.51903
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture Engineering Mechanical Engineering
Aim The Civil Engineering Science and Technology (CEST) journal aims to serve as a high-quality scientific publication platform dedicated to the field of civil engineering. The journal focuses on the scientific and technological aspects that contribute to the advancement of methods, materials, and innovations in civil engineering. CEST facilitates the dissemination of cutting-edge research findings that enhance both theoretical understanding and practical applications in the civil engineering industry. By providing a forum for academics, researchers, and practitioners, the journal encourages interdisciplinary collaboration and fosters global advancements in civil engineering science and technology. Scope CEST covers a broad range of topics within civil engineering, including but not limited to: Soil and Rock Mechanics – Studies on geotechnical properties, foundation engineering, slope stability, and soil-structure interactions. Structures and Materials – Research on structural analysis, construction materials, seismic engineering, and innovative building techniques. Hydraulic and Hydrology – Water resources management, fluid mechanics, river engineering, and coastal protection systems. Transportation and Infrastructure – Roadway and railway engineering, traffic management, urban mobility, and smart transportation systems. Environment and Resource Management – Sustainable construction, waste management, climate resilience, and eco-friendly engineering solutions. Information and Computing Technology in Civil Engineering – Applications of AI, BIM (Building Information Modeling), GIS, and digital twin technology in civil engineering. Innovation and Technological Development in Civil Engineering – Emerging trends, automation, robotics, and new methodologies for construction and infrastructure development. Case Studies and Practical Applications – Real-world civil engineering projects, lessons learned, and best practices in various construction domains. By covering these diverse areas, CEST aims to bridge the gap between research and industry, fostering technological innovation and sustainable development in civil engineering.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 27 Documents
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Adaptive BIM–IDS Framework for Semantic-Level Data Interoperability in Construction 5.0 Environments García, Mariana; Arintoko, Lasarus
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/46pddn16

Abstract

Physical infrastructure further becomes digitalized, but semantic-level interoperability between Building Information Modeling (BIM) and Information Delivery Specification (IDS) is a problem that is preventing one-size-fits-all information exchange. Conceptually, the current study conceives and analyzes an Adaptive BIM–IDS Framework that can extend support toward semantic conjoining within Construction 5.0 environments through ontology-based reasoning, adaptive mapping, and human–machine cooperation. A constructive research and simulation approach was adopted, wherein a Systematic Literature Review was integrated with PRISMA and dummy dataset simulation of BIM–IDS. Ontology-based mapping, SHACL validation, and SPARQL reasoning were adhered to for semantic completeness, logical consistency, and semantic flexibility of the framework. Performance was tested in three replicable tests Context Recognition Accuracy (CRA), Interoperability Consistency Ratio (ICR), and Adaptive Mapping Success Rate (AMSR) that exhibited higher semantic compatibility than a non-semantic control. While results are hypothetical, simulation-based, rather than empirical, the study presents replicable reason pipeline and formalized semantic ontology to support adaptive, ontology-enabled interoperability feasibility. Outcomes guide theoretical foundation of adaptive BIM–IDS integration and drive subsequent empirical application toward semantically harmonized, human-centered Construction 5.0 systems.
Flood Modeling Using HEC-RAS Based on Extreme Rainfall Data San-Deo, Glory
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/3by9tc70

Abstract

Flooding remains one of the most significant hydrological hazards in many river basins, particularly as extreme rainfall events intensify. This study employs a quantitative research design based on hydrological and hydraulic modeling to analyze flood behavior under extreme rainfall scenarios. The research integrates extreme rainfall frequency analysis, rainfall–runoff transformation, and hydraulic simulation using HEC-RAS, developed by the U.S. Army Corps of Engineers. Design rainfall for multiple return periods was analyzed and converted to peak discharge, which was subsequently used as input to a hydraulic simulation to generate water surface elevation profiles, flow velocity distributions, and flood inundation maps. The results indicate a progressive increase in peak discharge and inundation extent with higher return periods, with a more pronounced hydraulic response under extreme recurrence intervals. Flooding at lower return periods remains confined within the river channel, whereas at higher return periods, flows exceed channel capacity and significantly expand inundation areas. These findings highlight the importance of integrated quantitative modeling in supporting flood risk assessment, river capacity planning, and resilient spatial development strategies. The proposed modeling framework provides a comprehensive basis for linking extreme rainfall characteristics to spatial flood hazard mapping in water resources management.
Integration of Building Information Modeling (BIM) and Artificial Intelligence for Predicting Construction Project Risks Carizo, Glend
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/s8j6ge78

Abstract

Building Information Modeling (BIM) has increasingly been adopted in construction projects; however, its potential for quantitative risk prediction remains underexplored. This study aims to examine the influence of BIM-based variables on project risk severity and to develop a predictive model that explains variations in schedule delay and cost overrun. A quantitative approach was employed, using data from 42 completed construction projects that implemented 3D, 4D, and 5D BIM. Four independent variables-Geometric Complexity Index, Scheduling Density Ratio, Cost Intensity Coefficient, and Object Interdependency Level-were extracted from BIM objects and analyzed using multiple linear regression and machine learning models, including Random Forest, Support Vector Machine, and Artificial Neural Network. The results indicate that the regression model explains 68% of the variance in project risk severity, with scheduling density and cost intensity emerging as the most influential predictors. Among the machine learning models, the Artificial Neural Network achieved the highest predictive accuracy, demonstrating superior capability in capturing nonlinear relationships among BIM-derived attributes. These findings confirm that structured BIM-based metrics can serve as reliable indicators for proactive risk assessment. The study contributes to integrating BIM analytics into construction risk management frameworks and highlights the importance of data-driven decision-making in improving project performance.
Case Study on Structural Design Implementation for Architecturally Complex Reinforced Concrete Buildings Sugiarto; Achaqie, Haikal Nur Rachmanrachim
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pbe8cy93

Abstract

The growing need for architecturally distinctive buildings with complex shapes poses a challenge to structural engineers in reinforced concrete construction. This paper examines the effectiveness of structural design implementation in architecturally complex reinforced concrete buildings through early interdisciplinary collaboration and analytical techniques. A single-case study method was adopted, and the 45-story Meru Tower in Jakarta, with a twisted façade and irregular floor plans, was selected as the case study. Data collection was done using semi-structured interviews with eight key participants and document analysis of structural design calculations, finite element analysis results, and BIM coordination reports. The results show that early co-location of structural engineers with architects, assisted by structured BIM procedures, facilitated real-time geometric feasibility checks and avoided costly design conflicts at a later stage. Technical problems related to torsional irregularities and stress concentrations were addressed through response spectrum analysis, nonlinear time-history analysis, outrigger walls, and post-tensioned transfer girders. Quantitative validation confirmed that all performance criteria were met, including a 0.18% drift ratio, a 1.15 torsional ratio, and a maximum stress of 16.2 MPa, with a 9% reduction in concrete volume. This paper presents a three-phase approach derived from the Meru Tower case, offering practical insights for structural design implementation in architecturally complex concrete buildings. However, further validation across multiple cases is required.
AI-Driven Digital Twin for Urban Transport Infrastructure Network Operations Optimization Nkosi, Thabo; Mokoena, Naledi
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/zxxtac97

Abstract

Urban transport infrastructure networks play a critical role in enabling efficient mobility and sustainable urban development in smart-city environments. However, many existing digital twin studies in transportation primarily focus on infrastructure monitoring and sensor-based traffic management. At the same time, limited research has explored the integration of artificial intelligence (AI) and digital twin simulation to optimize network-level transport operations. This study aims to develop a conceptual AI-driven digital twin framework for urban transport infrastructure networks to optimize traffic flow, network capacity, and overall mobility efficiency. The research adopts a simulation-based and experimental approach, combining transport network modeling using graph theory with synthetic traffic datasets that represent nodes such as intersections, terminals, and stations, as well as edges representing urban road corridors. The framework incorporates AI-based optimization models, including reinforcement learning and heuristic optimization techniques, to evaluate alternative operational scenarios such as baseline network operations, AI-assisted traffic flow optimization, and adaptive infrastructure management. Simulation results indicate the potential for improved network operational performance under controlled experimental conditions, including reduced congestion levels and more balanced traffic distribution across the network. These findings are limited to simulated environments and do not represent real-world validation. Consequently, the proposed framework provides a scalable, exploratory analytical approach for assessing transport operational strategies and supporting data-driven decision-making in urban transport infrastructure management and smart city mobility planning within simulation-based contexts.  
AI-Driven Digital Infrastructure and Infrastructure Innovation Systems: A Conceptual Analysis Anh, Nguyen Minh; Huy, Tran Quang
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/cpapgr89

Abstract

The evolution of infrastructure development increasingly relies on integrating digital technologies to support complex, multi-actor innovation systems. Modern infrastructure projects involve governments, construction industries, research institutions, and technology providers, requiring efficient coordination, data integration, and collaborative decision-making mechanisms. This study examines the role of AI-Driven Digital Infrastructure in enhancing coordination and collaboration within Infrastructure Innovation Systems. A conceptual literature analysis was employed to synthesize prior research on AI applications, digital infrastructure, and innovation systems and map relationships between AI capabilities and systemic innovation dynamics. This study adopts a purely conceptual research design based on structured literature synthesis rather than empirical testing. Additionally, illustrative conceptual scenarios demonstrate potential coordination mechanisms that may facilitate information flows, inter-organizational alignment, and collective decision-making. The analysis suggests that AI-Driven Digital Infrastructure may function as a structural enabler contributing to institutional alignment, knowledge integration, and multi-stakeholder interaction within infrastructure ecosystems. The study provides a conceptual framework that links digital intelligence to systemic innovation processes, highlighting the role of AI as a backbone for coordination within complex infrastructure networks. This research contributes to theory by integrating perspectives from digital infrastructure, AI, and Infrastructure Innovation Systems into a unified analytical model. It offers conceptual insights to inform future research on digital infrastructure development.
Design and Development of an Interactive Virtual Tour for Enhancing Architectural Design Communication in Civil Engineering Projects Carter, Ethan; Bennett, Olivia
Civil Engineering Science and Technology Vol. 2 No. 1 (2026): March | CEST (Civil Engineering Science and Technology)
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/ekn57171

Abstract

This study addresses the limitations of traditional two-dimensional (2D) architectural drawings in effectively communicating spatial design to diverse stakeholders in civil engineering projects. The research aims to design and develop an interactive virtual tour system and to evaluate its effectiveness in improving architectural design communication. A Design and Development Research approach was employed, consisting of analysis, design, development, testing, and evaluation stages. The system was developed using SketchUp, Lumion, and Unity, and evaluated by 24 participants, including 12 professional designers and 12 non-technical clients. Data were collected through observation, questionnaires, and interviews, and analyzed using descriptive statistics and paired-samples t-tests. The results show that the virtual tour significantly outperformed 2D drawings across all evaluation aspects, with usability scores of 4.6 ± 0.28 compared to 3.2 ± 0.45, aesthetics scores of 4.7 ± 0.25 compared to 3.5 ± 0.40, and interactivity scores of 4.6 ± 0.30 compared to 2.9 ± 0.50, all with p-values < 0.01. These findings indicate that the virtual tour enhances spatial understanding, user engagement, and communication clarity. The novelty of this study lies in the explicit integration of realistic three-dimensional rendering, interactive navigation, and user-centered design principles within a Design and Development Research framework, combined with empirical evaluation involving both technical and non-technical stakeholders in a real project context. This study contributes to both theory and practice by demonstrating that interactive virtual tours serve as an effective communication medium, reducing misinterpretation and supporting more informed decision-making in civil engineering design processes.

Page 3 of 3 | Total Record : 27

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