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Journal of Civil Engineering
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 20861206     EISSN : 25799029     DOI : -
Core Subject : Science, Engineering,
Civil Engineering, Building, Construction & Architecture Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation
Journal of Civil Engineering (eISSN 2579-9029/pISSN 2086-1206) is a new journal that preceded by the previous Civil Engineering Department ITS Journal which was well known as Jurnal Teknologi dan Rekayasa Sipil (TORSI). TORSI journal was established in March 1981. In 2009, TORSI journal name was changed to Journal of Civil Engineering. Journal of Civil Engineering is managed by Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember (ITS). Journal of Civil Engineering published at least five papers for each volume. Annually two volumes are published with the first volume is published within the period of January-June and the second volume is published within the period of July-December. The Peer-review process is online based using the OJS portal. Focus and Scope The Journal of Civil Engineering (JCE) publish scientific article which is specific for civil engineering. JCE article must be written either in Indonesian or English languages. The focus and scope of the journal are: 1. Structures (High-Rise Building, Bridges, Long-Span Bridges) 2. Materials (Concrete, Steel, Fiber-Reinforced Concrete, Composites) 3. Hydraulics and Hydrology 4. Geotechnics (Foundation, Embankment Stability) 5. Construction Management 6. Transportations (Highways, Trains, etc.) 7. Green Buildings and Architectures
Arjuna Subject : Teknik (semua kategori) - Bangunan dan Konstruksi
Articles 342 Documents
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Experimental Study on Concrete-Filled PVC Tubes Using E-Glass Fibre Reinforced Concrete Jen Hua Ling; Wei Quan Chin
Journal of Civil Engineering Vol 41 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i1.9495

Abstract

Concrete-filled plastic tubes (CFPT) provide corrosion resistance compared to concrete-filled steel tubes but have low stiffness and tensile capacity, which weakens confinement. This study investigates E-glass fibre-reinforced concrete as infill to address these limitations. Compressive tests were conducted on 54 specimens in four groups: plain concrete (C), E-glass fibre reinforced concrete (EC), concrete-filled tube (CP), and E-glass fibre reinforced concrete-filled tube (ECP). Variables included specimen diameter (75–150 mm), fibre content (0–1.5% by cement weight), and confinement (with or without PVC tubes). Increasing diameter from 75 mm to 150 mm raised compressive strength by 2.1 to 4.9 times. The strength gain, however, was disproportionate to the increase in load-bearing area due to poor compaction, uneven fibre distribution, reduced confinement effectiveness, and slenderness effects. Adding E-glass fibres reduced strength by 10% to 56%, with variation likely caused by workability issues and fibre clustering. PVC confinement improved plain concrete strength proportionally to the 2t/d ratio but had inconsistent effects on fibre-reinforced mixes. Failure modes included bulging, shear, and tube bursting. Recommendations include improving workability, enhancing bonding, and increasing PVC tube stiffness to optimise CFPT performance.
Examining the Application of the Semi-Structured Interview Method in Public-Private Partnership (PPP) Infrastructure Studies Ali Sunandar; Fitri Andriyanti; Saipol B. A. Karim; Umi K. Z Zulkifli
Journal of Civil Engineering Vol 41 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i1.9498

Abstract

Public-Private Partnership (PPP) schemes are increasingly adopted to address infrastructure financing constraints and to support sustainable development objectives. In PPP infrastructure research, semi-structured interviews are widely used to capture in-depth perspectives from key stakeholders. Despite their extensive application, systematic understanding of how these interviews are designed, implemented, and reported remains limited. This study examines the application of semi-structured interview methods in PPP infrastructure research through a systematic literature review of studies indexed in the Scopus and Web of Science databases. The review evaluates research approaches, interview mediums, data collection and analysis techniques, software utilization, interview duration, participant selection criteria, sampling strategies, data saturation, and practices related to rigor and trustworthiness. The findings indicate that semi-structured interviews are predominantly employed within qualitative research designs and are frequently combined with thematic analysis and qualitative data analysis software. Face-to-face interviews and purposive sampling of experienced PPP stakeholders emerge as the most common practices. However, the review also identifies notable inconsistencies in the definition and reporting of data saturation and qualitative rigor across studies. This study contributes to methodological advancement by providing a structured overview of current practices and highlighting areas where clearer and more consistent reporting is required. The findings offer practical guidance for researchers and practitioners seeking to strengthen methodological rigor and transparency in PPP infrastructure research.
Implementation Barriers and Socio-Economic Implications of Nepal's Revised Seismic Building Codes: Evidence from Municipalities in PGA 0.35g Zones Sandesh Sigdel
Journal of Civil Engineering Vol 41 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i1.9505

Abstract

Nepal's revised building codes NBC 105:2020 (Seismic Design of Buildings in Nepal) and NBC 205:2024 (Ready-to-use Detailing Guideline for low rise RC Building without masonry infill) represent critical advances in seismic safety following the devastating 2015 Gorkha earthquake. This study provides the first comprehensive multi-municipal assessment of implementation barriers and socio-economic impacts across five municipalities in Peak Ground Acceleration (PGA) 0.35g zones. Using mixed-method research combining surveys of 245 construction professionals, cost analysis of 30 building projects, and quality assessments, we quantify implementation challenges and their economic implications. Our findings reveal substantial technical expertise gaps, with only 31.83% of respondents demonstrating adequate code awareness. Construction costs increased by 10.98% (NPR 3,160 to NPR 3,505 per sq ft), while training quality directly correlates with compliance rates (90% for comprehensive training vs. 50% for minimal training). We recommend differentiated regulatory frameworks distinguishing residential and commercial construction requirements, coupled with targeted capacity building programs. These evidence-based insights inform policy interventions to balance seismic safety enhancement with construction sector viability in earthquake-prone developing regions.
Flexural Load Testing of Hollow Core Slab Systems with Added Concrete Topping Ryonaldo Ryskya; Sumargo Sumargo
Journal of Civil Engineering Vol 41 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i1.9506

Abstract

Hollow Core Slabs (HCS) are widely applied in multi-story buildings due to their efficiency and prestressed concrete system. The use of cast-in-place concrete topping is intended to enhance structural performance; however, sufficient composite action between the HCS and topping must be ensured. ACI 318-14 Section 16.4.4.2 specifies a minimum surface roughening depth of ¼ in. (6.35 mm) to achieve composite action between concrete elements. This study investigates the effectiveness of a reduced roughening depth of 2 mm in developing composite behavior between HCS and topping. Full-scale HCS specimens with additional toppings were experimentally tested under cyclic loading using a load-control method. Composite action was evaluated based on load response, stiffness degradation, and crack pattern observations. The experimental results demonstrate that a roughening depth of 2 mm is insufficient to develop composite action, as cracking was concentrated along the interface between the HCS and topping. These findings confirm the necessity of complying with the minimum roughening depth requirements specified in ACI 318-14
Analysis of the Implementation of the General National Safety Plan (RUNK) Policy on National Road Traffic in East Java Province Dwi S. N. Yunita; Anak A. G Kartika
Journal of Civil Engineering Vol 41 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i1.9507

Abstract

This study analyzes the implementation of the National Road Safety General Plan (RUNK) in East Java Province, Indonesia, and its effectiveness in reducing road traffic accidents and fatalities. Despite the national framework, East Java consistently records one of the highest accident rates in the country. The research evaluates the application of the five RUNK pillars—road safety management, safer roads, safer vehicles, safer road users, and post-crash response—using secondary data from 2010 to 2023, including accident frequencies, fatality counts, vehicle ownership, and population statistics. Quantitative methods such as accident rate (AR) and case fatality rate (CFR) analyses, along with comparative statistical tests (t-test and Mann–Whitney), were employed to assess regional performance disparities and policy consistency across districts. The findings reveal that the implementation of RUNK remains inconsistent, particularly in Pillars 3 and 5, contributing to the failure in achieving national targets. This study contributes to the UN Sustainable Development Goals (SDGs), especially SDG 3.6 by providing evidence to support the reduction of road traffic deaths and injuries, and it also aligns with SDG 11.2, SDG 9.1, and SDG 16.6 through recommendations for safer transport systems, improved road infrastructure, and stronger inter-agency governance. The study highlights the need for stronger inter-agency coordination, improved road safety infrastructure, and enhanced public education to effectively address road safety challenges at the regional level.
Finite element modeling of square confined concrete columns with stainless steel and carbon steel under concentric load Venesia S Samalloa; Bambang Piscesa; Heppy Kristijanto
Journal of Civil Engineering Vol 41 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i1.9508

Abstract

The use of conventional carbon steel in steel tube confined concrete (STCC) structures presents durability challenges, particularly in marine environments, due to corrosion susceptibility and high maintenance requirements. Stainless steel tube confined concrete (SSTCC) offers enhanced corrosion resistance and improved long-term performance compared to carbon steel tube confined concrete (CSTCC). This study aims to validate numerical simulations against experimental results by evaluating load–displacement and stress–strain responses, while considering the effects of surface contact sensitivity between the concrete core and steel tube, as well as initial imperfections within the shear band region. A three-dimensional nonlinear finite element analysis (3D-NLFEA) model was developed for square cross-section STCC columns. The numerical results demonstrate strong agreement with experimental data. The comparison of load–displacement curves shows an average discrepancy of 3.22%, while the stress–strain responses exhibit an average difference of 5.00%. Improved correlation was achieved by incorporating a 10% material reduction to represent initial imperfections in the shear band region and calibrated surface contact parameters, including a cohesive strength of 0.7 MPa, a uniaxial tensile strength of 1.0 MPa, and an internal friction angle of 15°. These findings confirm the capability of the proposed numerical model to accurately predict the structural behavior of square STCC columns and highlight the effectiveness of stainless steel confinement in enhancing structural performance.
The Impact of Safety Factors on Safety Performance (Study on Hydroelectric Power Plants in Sumatra) Sarah Freshima; Putu Artama Wiguna
Journal of Civil Engineering Vol 41 No 1 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i1.9509

Abstract

This research is motivated by the urgency of improving occupational safety in dam maintenance activities at Hydroelectric Power Plants, particularly in the Sumatra region. Although not included in the category of new construction projects, dam structural maintenance and repair activities still contain high risks, especially the potential for technical failures such as seepage which globally is the main cause of dam collapse. At the national level, hydroelectric power plants play a vital role in supporting energy security, but the implementation of Occupational Safety and Health programs is still not optimal. This is reflected in the absence of hydroelectric power plants in Sumatra that have received the Zero Accident award, as well as the number of recurring occupational accidents at several hydroelectric power plants, such as at plants X and Y, over the past five years. This situation emphasizes the need for an in-depth study of the factors that influence the effectiveness of occupational safety systems in the hydroelectric power plant maintenance project sector. This study aims to analyze the influence of safety leadership, safety climate, safety culture, and safety behavior on safety performance, using a quantitative approach with the Partial Least Squares Structural Equation Modeling (SEM-PLS) method. A total of 117 respondents were selected using purposive cluster sampling. The analysis shows that safety culture has the strongest positive influence on safety performance. This research confirms that optimal safety performance can only be achieved through the synergy between a strong safety culture, ingrained safety behaviors, supportive leadership, and a safety climate.
The Evolution of Minimum Revenue Guarantees (MRGs) in PPP Infrastructure Investment Ali Sunandar; Fitri Andriyanti; Saipol Bari Abd Karim; Umi Kalsum Zolkafli Zulkifly
Journal of Civil Engineering Vol 41 No 2 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i2.10463

Abstract

This study investigates the evolution of minimum revenue guarantees (MRGs) in public-private partnership (PPP) infrastructure investment, tracing their development from basic risk mitigation instruments to dynamic, strategically optimized, and sustainability oriented financial mechanisms. A qualitative research design was employed using systematic thematic synthesis of peer reviewed literature indexed in Scopus and Web of Science (WoS) up to February 2026. The review screened 415 records and identified 44 eligible articles for analysis, comprising 5 studies published up to 2010, 8 during 2011 to 2015, 16 during 2016 to 2020, and 15 during 2021 to 2026. The findings reveal four evolutionary phases characterized by advances in real options valuation, risk sharing optimization, game theoretic contract design, adaptive profit distribution, and sustainability focused applications. The study proposes a unified conceptual framework consisting of three interrelated dimensions: strategic and game theoretic contract optimization, adaptive and performance linked guarantee mechanisms, and sustainability-oriented sector specific financial structuring. The framework contributes to theory by integrating historical and contemporary developments into a comprehensive roadmap for MRG design. Practically, it provides guidance for policymakers and practitioners seeking to balance fiscal sustainability, investor incentives, and long-term infrastructure resilience. The study is limited by its reliance on qualitative literature synthesis and highlights opportunities for future empirical, quantitative, and digital finance research to further refine adaptive MRG frameworks.
Vibration Characteristics of Long-span Reinforced Concrete Hollow Flat Slabs: A Case Study Li Zhou; Yong Huang; Bo Chen
Journal of Civil Engineering Vol 41 No 2 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i2.10465

Abstract

To investigate the vibration characteristics of the long-span reinforced concrete hollow flat slab, an actual engineering case was studied to examine the influence of parameters such as slab thickness and supporting beam cross-sectional dimensions on the dynamic properties of the floor. The dynamic response under human-induced loading was also analyzed. The study found that the thickness of floor slabs in the long-span zone significantly affects their fundamental frequency. As the total slab thickness varies from 450 mm to 850 mm, the fundamental frequency ranges from 5.043 Hz to 7.847 Hz, representing a 55.6% increase from the minimum value to the maximum. In contrast, the slab thickness in non-longspan zones and the cross-sectional dimensions of the supporting beams have a relatively small influence on the fundamental frequency. Both the magnitude and duration of the single-step gravity load influence the peak acceleration and vertical displacement of the floor. When the applied gravity load increases from 0.4 kN to 0.8 kN, the peak acceleration and maximum vertical displacement increase by 100.8% and 100.2%, respectively. When the load duration increases from 0.4 s to 0.8 s, the peak acceleration and maximum vertical displacement decrease by 51.1% and 22.7%, respectively. In contrast, the walking route has minimal effect on the dynamic response at the center of the slab
Transforming Construction Risk Management and Resource Optimization: A Machine Learning and Big Data Perspective Ratan Lal; Mehdi Oldache; Sumit Keswani
Journal of Civil Engineering Vol 41 No 2 (2026)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j25799029.v41i2.10467

Abstract

This integrative literature review examines the role of machine learning (ML) and big data analytics in transforming risk management and resource optimization in construction projects. Following a PRISMA-P-guided search across Scopus, Google Scholar, Web of Science, and PubMed, 5,756 initial records were identified and screened, resulting in a final dataset of 154 eligible studies, of which 59 high- and moderate-quality studies were retained for detailed synthesis after quality assessment. The review highlights ML’s enhanced predictive capabilities for risk assessment and resource allocation, supported by cross-industry comparisons and construction-specific case studies. Representative findings from the literature include reported prediction accuracies of up to 93.75% for delay-risk prediction and 97.6% for equipment matching, indicating the potential of MLbased tools to improve forecasting, monitoring, and resource-allocation decisions. The review also highlights the synergistic integration of ML with Building Information Modeling (BIM), the Internet of Things (IoT), and digital twin technologies, which collectively enhance project efficiency despite challenges in data-sharing standardization, interoperability, and regulatory compliance. Key barriers to ML and big data adoption are identified, along with strategic measures to address them. The study proposes two novel frameworks for the construction sector: an AI-Enhanced Construction Risk Prediction and Mitigation Framework and a Smart Build: AI-Optimized Resource Management Framework. These frameworks, informed by insights from industry practitioners, policymakers, and researchers, aim to advance digital transformation in construction by providing structured approaches for leveraging ML in risk management and resource optimization.

Page 34 of 35 | Total Record : 342

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