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INDONESIA
Civil Engineering Journal
Published by C.E.J Publishing Group
ISSN : 24763055     EISSN : 24763055     DOI : -
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture
Civil Engineering Journal is a multidisciplinary, an open-access, internationally double-blind peer -reviewed journal concerned with all aspects of civil engineering, which include but are not necessarily restricted to: Building Materials and Structures, Coastal and Harbor Engineering, Constructions Technology, Constructions Management, Road and Bridge Engineering, Renovation of Buildings, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Highway Engineering, Hydraulic and Hydraulic Structures, Structural Engineering, Surveying and Geo-Spatial Engineering, Transportation Engineering, Tunnel Engineering, Urban Engineering and Economy, Water Resources Engineering, Urban Drainage.
Arjuna Subject : -
Articles 24 Documents
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Search results for , issue "Vol. 11 No. 7 (2025): July" : 24 Documents clear
Driver Drowsiness and Alcohol Detection for Automotive Safety Systems Sivaprakasam, Avenaish; Yogarayan, Sumendra; Mogan, Jashila Nair; Abdul Razak, Siti Fatimah; Azman, Afizan; Raman, Kavilan
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-03

Abstract

Driver drowsiness and alcohol impairment are major causes of traffic accidents, making road safety a main concern. This study highlights the importance of addressing these issues through improved driver monitoring technologies. A prototype combining MQ-3 alcohol sensors, and facial detection was created, integrating with IoT via a Raspberry Pi to monitor and alert on drowsiness and alcohol levels. The developments use the NTHU-DDD dataset, which supports a supervised learning approach to develop a reliable drowsiness detection model. The study explored various machine learning algorithms such as Logistic Regression, Support Vector Machine (SVM), Random Forest (RF), K-nearest neighbors (KNN), Gradient Boosting Classifier, and Gaussian Naive Bayes, with Random Forest and Gradient Boosting emerging as top performers, particularly suited to complex non-linear data. The system effectively used supervised learning techniques to differentiate drowsy and non-drowsy images and exhibited consistent accuracy in detecting drowsiness, especially when the driver’s face was centered. However, accuracy decreased when faces were tilted, highlighting areas for refinement. Moreover, the environmental tests on the MQ-3 sensor demonstrated its sensitivity to alcohol presence, even distinguishing the intensity based on beverage type and concentration. The findings underscore the efficacy of using sensor-based technologies in real-world conditions and provide a foundation for optimizing the system's detection capabilities across various scenarios.
The Influence of Precursor to Activator Ratio and Curing Temperature on Geopolymer Paste with One-Part Method Widayanti, Ari; Ekaputri, Januarti J.; Amini, Iqlima N.; Petrus, Himawan T. B. M.; Putri, Anandita Ade; Soemitro, Ria A. A.; Handayani, Anjas
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-014

Abstract

Geopolymer is an eco-friendly material that serves as a sustainable alternative to Portland cement in construction. This binder reduces carbon dioxide emissions from cement production. However, its manufacturing process remains complex and requires professional expertise. This study explores an environmentally friendly cement produced through the “One-Part Method” (or the “just add water” method), which simplifies geopolymer application, making it as user-friendly as Portland cement. However, research on the performance of one-part geopolymers with varying activator contents and curing temperatures remains limited. In this study, Class F fly ash was used as a precursor, combined with a dry activator made from geothermal sludge and sodium hydroxide (NaOH). Two compositions were tested with precursor-to-dry activator ratios of 5:1 (OPG-F5F) and 7:1 (OPG-F7F). The compressive strength was significantly influenced by the Si/Al, Na/Si, Na/Al, and water/solid ratios derived from the precursor and activator. Mechanical properties were analyzed at three curing temperatures: ambient, 40°C, and 60°C. Results showed that OPG-F7F achieved the highest strength at 60°C, reaching 76.1 MPa at 28 days. Mineral analysis before and after steam curing revealed no changes in composition, while morphological analysis indicated that higher temperatures produced a denser geopolymer matrix. These findings demonstrate the strong potential of geopolymer cement as a viable Portland cement replacement using the One-Part Method.
Alternative Method for Determining Manning's Roughness Coefficient Using Two-Point Velocity in Equilibrium and Nonequilibrium Sediment Transport Maini, Miskar; Kironoto, Bambang A.; Rahardjo, Adam P.; Istiarto
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-02

Abstract

Understanding flow resistance equations, such as Manning’s roughness equation, is essential for river design and improvement. Estimating Manning’s roughness coefficient becomes more complicated when sediment transport is involved. This study takes an alternative approach by using velocity profiles to examine how sediment transport affects Manning’s roughness coefficient. To achieve this goal, 1200 velocity profiles with sediment-feeding (SF) and non-sediment-feeding (NSF) flows are evaluated to determine the (composite) Manning’s roughness coefficient. Sediment-feeding flows describe sediment flow under equilibrium conditions, whereas non-sediment-feeding flows represent sediment flow under nonequilibrium conditions. A Sontek 16-MHz Acoustic Doppler Velocimeter is used to measure the velocity (and turbulence) profiles. In addition to the present data, 225 secondary velocity profile data sets are analyzed in this study. The research findings indicate that the composite Manning’s roughness coefficient nco can be determined from Manning’s roughness coefficient nz/B at z/B in the transversal direction, using two points of the velocity profile at y/H = 0.2 and 0.4 in the vertical direction. The differences in the velocity profile shape (u/U) due to sediment feeding, particularly in inner regions (y/H ≤ 0.2), affect the value of nz/B. nco for sediment-feeding flows are generally higher than the cross-section Manning roughness coefficient n. As nco (based on nz/B) is based on the velocity profile, the nco values change with sediment transport. Meanwhile, the n values remain unchanged because the equation variables cannot detect the presence of sediment transport. For non-sediment-feeding flow, the differences in nco with n are 14.80% for a fixed bed (FB) and 18.17% for a movable bed (MB). The differences are even more pronounced for sediment-feeding flow at 33.01% for a fixed bed and 36.52% for a movable bed. The point where nz/B/nco = 1 occurs at z/B = 0.2 from the channel sidewall. This suggests that nz/B, measured at z/B = 0.2 from the channel sidewall, provides a good representation of nco for the section.
Assessing Sediment Transport and Shoreline Dynamics in High-Energy Tropical Coasts Umar, Hasdinar; Paotonan, Chairul; Rachman, Taufiqur; Nur, Sitti Hijraini; Muhiddin, Amir H.; Maming, Muhammad Idhil; Andriadi, Andi M. Rezky; Assidiq, Fuad Mahfud
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-022

Abstract

This research examines coastal erosion in North Galesong, Indonesia, by validating longshore sediment transport (LST) equations and predicting shoreline changes over ten years. To evaluate sediment movement and coastline alterations, it integrates field data on sediment grain size and wave characteristics with numerical modeling techniques, including the CERC equation and finite difference methods. Sieve analysis revealed a range of sediment textures (D50: 0.17–0.65 mm), predominantly medium-fine sand. Wave analysis indicated a dominance of moderate energy southwesterly waves (1.5 m height, 6.39 s period) that aid sediment transport. The empirical LST models, calibrated with local data, closely matched numerical simulations (error <20%), predicting an annual net northward sediment transport of 406,869 m³. Shoreline analysis across 15 segments showed significant spatial variability: severe erosion occurred in Cell 4 (Δy = -0.82 m), while Cell 3 saw accretion (Δy = +0.68 m), influenced by wave direction, sediment supply, and coastal morphology. This study underscores the value of hybrid empirical-numerical methods in data-scarce regions and emphasizes the need for local model calibration to enhance coastal resilience. The findings inform sustainable management practices, promoting adaptive strategies to address sediment imbalances and hydrodynamic changes due to climate factors.
Effect of Graphene Oxide on the Performance of Fly Ash Concrete Exposed to Ambient Temperature Maizuar; Akbar, Said Jalalul; Jalil, Abdul; Arfiandi, Joni
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-06

Abstract

The rising global temperatures due to climate change are accelerating concrete deterioration by shortening its service life, which subsequently increases maintenance costs. Therefore, the objective of this investigation is to analyze the graphene oxide (GO) effect on the mechanical characteristics and microstructural properties of fly ash (FA) concrete exposed to ambient temperatures. Concrete specimens were created by employing GO from 0.01% to 0.05% by weight of cement and cured using two distinct methods. These include standard curing in immersed water and for 7 days followed by ambient exposure. The mechanical test showed that GO significantly enhanced compressive strength, with 0.04% GO observed to have increased strength by approximately 16% at 28 days. However, exposure to ambient conditions led to decreased compressive and flexural strength and increased mass loss. The microstructural analysis also showed that ambient-exposed concrete exhibited higher porosity and incomplete hydration. The results showed that the addition of GO enhanced durability by refining the microstructure, reducing porosity, and enhancing thermal stability. Thermal analysis also confirmed that GO minimized moisture loss and improved thermal resistance. Furthermore, Fourier Transform Infrared Spectroscopy (FTIR) validated the improvement in bonding for the GO-FA concrete. These results showed that GO could mitigate the adverse effects of environmental exposure, leading to its identification as an advantageous additive to increase the long-term durability and concrete performance in different temperature conditions.
Linking the Tourism Activity to the Occurrence and Distribution of Microplastics Chairunnisa, Nadda Khalila; Adam, Moh. Awaludin; Kristianto, Sonny; Aidil Candri, Dining; Shofi Talbia, Husna; Aprilia, Maya; Mutia, Tuti; Masruroh, Heni; Iswara, Aditya Prana; Prayogo, Wisnu
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-010

Abstract

Tourism-driven activities have increasingly contributed to marine microplastic (MPs) pollution, particularly in island ecosystems. This study assesses the abundance, characteristics, and spatial distribution of MPs in Gili Trawangan, Indonesia, by analyzing samples from coastal water, sediments, and fish across three zones: a seaport, recreational beach, and mangrove area. Standardized filtration, density separation, and FTIR spectroscopy were used to identify MPs types and polymers. Results show the highest MPs concentrations in coastal water at recreational beaches (19.25 particles/L), sediment at seaports (23.15 particles/kg), and fish near seaports (17.5 particles/individual), indicating elevated risks of bioaccumulation. Fragments and fibers were the dominant forms, with prevalent polymers including PS, PE, and LDPE, mostly in black, blue, and red colors. The mangrove area exhibited lower MPs levels due to its natural filtration capacity but still showed MPs presence in biota. This multi-compartment approach highlights a clear link between tourism intensity and MPs contamination. The findings provide new insights for designing localized interventions, including waste reduction strategies and regulatory measures. By integrating ecological and anthropogenic factors, this study supports the development of sustainable tourism policies to mitigate MPs pollution and protect coastal biodiversity.
SEM-Based Decision Support Model for Cost-Quality Impact Analysis on a Fast-Track Project’s Duration Sultan, Mustafa; Hassan, Ishtiaq; Safdar Gardezi, Syed Shujaa
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-017

Abstract

The fast-track technique was introduced to mitigate time overruns and meet project deadlines; however, limited understanding exists regarding how cost and quality-related decisions influence the duration of such projects. This study aims to analyze the impact of cost and quality variances on project duration, ultimately proposing a decision support model tailored for fast-track high-rise building projects. Data were collected from 159 respondents and analyzed using Structural Equation Modeling (SEM), through which four hypotheses were formulated. The findings reveal that both cost and quality variances significantly affect project duration, with quality variance also exerting a notable influence on project cost. Mediation analysis further demonstrated that cost variance serves as a statistically significant mediator between quality variation and project duration. The R² values of the proposed model indicate that 78.4% of the variation in project duration can be attributed to changes in cost and quality, while 72.9% of the variation in project cost is linked to quality changes. The Importance–Performance Map Analysis (IPMA) identified the early procurement of long-lead-time items, the adoption of a scope-freeze approach during the early design phase, and the over-design of facilities as the most critical and best-performing decisions. The model introduces novel β-values and confirms the statistically significant relationships among cost, quality, and time. Additionally, model validation metrics—including Q², RMSE, MAE, and CVPAT—demonstrated strong out-of-sample predictive power of the proposed framework.
Consolidation Behavior of Soft Soil Treated with PVDs and Vacuum-Surcharge Preloading Le, Nghia Trong; Nguyen, Kien Trung; Nguyen, Minh Trung
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-024

Abstract

Prefabricated vertical drain (PVD) combined with vacuum-surcharge preloading is a widely used ground improvement technique to accelerate the dissipation of excess pore water pressure and reduce the soil compressibility. However, difficulties in the numerical simulations of water dissipation and equivalent permeability of soil with PVDs in three-dimensional (3D) and two-dimensional (2D) settings cause substantial deviation of numerical results from observational data. Moreover, the optimum length of PVDs has not been well documented. Accordingly, this work analyzes a project in Dong Nai, Vietnam, where a 37-meter-thick soft soil was treated with PVDs and vacuum-surcharge preloading. In this work, the field observations and finite element method with consolidation theory were used to analyze the ground settlements, lateral displacements, and excess pore water pressure. The observed and simulated data shows that (i) the rate of settlements in the first 60 days of increasing preloading pressure is about 2.1 times faster than that in the next 110 days of constant preloading pressure, (ii) at 170 days, the ground-surface lateral displacement at the toe of the embankment is around 50 mm and reaches its maximum value of 150 mm at 1.55 m depth, and (iii) the dissipation of pore water pressure is closely correlated with the settlement rate. Moreover, back analysis indicates that a permeability conversion ratio from 1.872 to 4.538 should be applied to achieve the same degree of consolidation between 3D and 2D models. Lastly, the optimum length of PVDs in this project is 28 m, around 76% of the fully penetrated length into the soft layer.
Glow-Wire Analysis of Polypropylene Blends for Mechanical and Marine Engineering Applications Firdaus, Himma; Supono, Ihsan; Pratama, Anandito Adam; Istanto, Iwan; Prabowo, Aditya Rio; Kusnandar, Nanang; Kasiyanto, Iput; Wijaya, Rahman; Lailiyah, Qudsiyyatul; Budiana, Eko Prasetya; Yaningsih, Indri; Akbar, Hammar Ilham; Imanullah, Fahmi
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-018

Abstract

Polymer materials are widely used due to their versatility; however, their vulnerability to fire is a significant concern, especially under electrical influences on engineered mechanical designs and marine structure applications. This study examines the fire resistance of a polypropylene (PP) blend using Glow-Wire Flammability Index (GWFI) and Glow-Wire Ignition Temperature (GWIT) tests. While previous research typically relies on flame-retardants to address flammability, this work proposes using a simple 1:1 weight ratio blend of two distinct PP types. This specific PP blend was selected to provide balanced material properties and improved processing consistency. The results from glow-wire tests were compared with previous findings to evaluate flammability performance. Our findings reveal that although the PP blend offers enhanced fire resistance compared to neat PP, it remains inferior to PP-containing flame-retardant additives. The outcomes suggest that this blended PP may be suitable for applications where mechanical properties, cost-effectiveness, and recyclability precede fire resistance, such as engineered automotive interiors, mechanical design of marine transportation, and low-risk electrical components in engineering infrastructure. This initial research contributes valuable insights into the fire behavior of PP blends. Moreover, it establishes a foundation for future investigations into polymer fire resistance, encouraging additional glow-wire testing on other polymer systems.
Driving Economic Value: Assessing the Financial Impact of Dynamic Message Signs on Freeways Abushattal, Mousa Ahmad; Alhomaidat, Fadi; Alsanat, Husam; Kwigizile, Valerian; Isaria Mwende, Sia
Civil Engineering Journal Vol. 11 No. 7 (2025): July
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-07-023

Abstract

Dynamic Message Signs (DMSs) are an integral feature of any Intelligent Transportation System (ITS), providing drivers with real-time information such as travel time, incidents, routes, and weather conditions. This study aims to estimate the economic impacts associated with DMS use for route choice, weather advisories, and work zone management on freeways. Several freeway locations with varying levels of traffic congestion were selected to ensure a comprehensive evaluation under diverse conditions. Travel time savings and speed reductions were used as performance metrics to assess Benefit-Cost Ratios (BCRs) for each application. The findings show that DMSs yield substantial economic advantages across all use cases. For route guidance messages with a 35% diversion rate, the BCR was 1.032, indicating a cost-effective investment. Weather advisory messages recommending speed reduction achieved a notably higher BCR of 6.0, reflecting strong safety and financial benefits. Work zone applications using Portable Changeable Message Signs (PCMS) projected a BCR of 1.22. This study offers a data-driven justification for DMS deployment and contributes to the literature by focusing on financial performance, supporting strategic investment decisions beyond qualitative or operational assessments.

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