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INDONESIA
Civil Engineering Dimension
Published by Universitas Kristen Petra Surabaya
ISSN : 14109530     EISSN : 1979570X     DOI : -
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture
The Civil Engineering Dimension (Dimensi Teknik Sipil) is a refereed journal, published twice a year, in March and September.
Arjuna Subject : -
Articles 466 Documents
 43   44   45   46   47 
Analyzing Student Mobility Patterns and Route Preferences: A GIS- and Mental Map-based Study at Politeknik Negeri Ujung Pandang, Indonesia Ridwan, Vita Fajriani; Matsumura, Nobuhiko; Sarif, Sarif; Zakariah, Aisyah; Anton, Erning Ertami
Civil Engineering Dimension Vol. 28 No. 1 (2026): MARCH 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.28.1.111-119

Abstract

Current understanding of students’ mobility patterns often overlooks the integration of perceptual experiences with spatial behavior, particularly in rapidly urbanizing Global South contexts where informal infrastructures and cognitive factors critically shape mobility. This study addresses this gap by analyzing route preference determinants at Politeknik Negeri Ujung Pandang using mental map sketches (n=165), questionnaires, and GIS-based spatial analysis. Key findings reveal: 1) dense morning commutes within 500m of campus versus afternoon dispersal into alternative routes up to 2km; 2) distance (r = 0.876, p < 0.01) and travel time (r = 0.699, p < 0.01) dominate choices, outweighing convenience (r = 0.196, p < 0.05); and 3) gendered behaviors, with 65% of alternative route users were males. The findings validate Hägerstrand’s Time-Geography model and recommend arterial corridor optimization and safety retrofits, advancing an equitable framework for campus mobility planning.
Fresh and Mechanical Properties of Limestone Calcined Clay Cement (LC3) using Local Clay with Clinker Content below 50% Mihardja, Edwin; Antoni, Antoni; Riady, Elbert G.; Suhendro, Samuel V.; Susanto, Tri E.; Akbar, Rizky T.; Anuraga, Bangkit Tegar T.; Hardjito, Djwantoro
Civil Engineering Dimension Vol. 28 No. 1 (2026): MARCH 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.28.1.120-129

Abstract

This study examined the performance of limestone calcined clay cement (LC3) produced with Indonesian clays containing low–medium kaolinite (20–30%) and clinker contents below 50%. Material characterization was carried out using XRF, XRD, and particle size analysis, followed by evaluation of fresh and mechanical properties. LC3 mixtures incorporating local clays exhibited good workability and required less superplasticizer than metakaolin-based controls, indicating favourable fresh behaviour despite reduced clinker content. A notable strength reduction was observed when clinker content dropped below 35%, reflecting insufficient portlandite required for pozzolanic reactions. The addition or substitution of Ca(OH)₂ did not improve strength and hindered calcined clay reactivity due to elevated pH level (12.5–13.5). Microstructural analysis confirmed that mixtures with higher kaolinite and clinker contents produced denser hydration products. The results demonstrated that Indonesian clays are suitable for LC3 development, with promising fresh properties and microstructural behaviour supporting further optimization and future durability studies.
Experimental Investigation on Seismic Performance of Precast Column-Foundation Connection using Combined Anchor and Pocket System Propika, Jaka; Pudjisuryadi, Pamuda; Chandra, Jimmy
Civil Engineering Dimension Vol. 28 No. 1 (2026): MARCH 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.28.1.69-82

Abstract

Connections between precast concrete elements play a crucial role in ensuring structural integrity and facilitating effective force transfer. Among various connection types, the column–foundation connection is the most critical component, as it is designed to resist the combined effects of axial load, bending moment, and shear force. In this study, the pocket connection was modified with anchored reinforcement (BPC) to improve seismic performance. An experimental program was conducted on three specimens: a monolithic cast-in-place connection (MC) as the control, a conventional pocket connection (PC), and the modified pocket connection (BPC). Each specimen was subjected to combined axial and cyclic loading to evaluate the seismic performance of the column–foundation connection. The results showed that the MC specimen demonstrated the best performance, while the PC specimen, although meeting the ACI 374.1-05 acceptance criteria, failed to achieve the required probable moment capacity. The BPC specimen demonstrated improvement in seismic performance compared to the PC and was considered suitable for use in precast structural systems designed for seismic area.
Density by Design: Evaluating Transit Hubs for Transit-Oriented Development (TOD) in an Emerging Indonesian Metropolis Haratama, Kusuma R.; Farizi, Ananda M. A.; Saputro, Maleakhi C.; Manggalasari, Lena C.; Thipphaya, Phitchayathida
Civil Engineering Dimension Vol. 28 No. 1 (2026): MARCH 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.28.1.54-68

Abstract

Rapid urbanization in Indonesian cities has increased interest in Transit-Oriented Development (TOD) as a strategy to promote compact, mixed-use, and transit-supportive urban forms. This study evaluates the TOD readiness of five major transit hubs in Surabaya—Purabaya Terminal, Joyoboyo Terminal, Gubeng Station, Surabaya Kota Station, and Pasar Turi Station—using a spatially explicit Built Environment Index (BEI). A Geographic Information System (GIS) approach was applied to analyze population density, employment density, land use mix, and accessibility within 400, 800, and 1,200 m service areas. These indicators were normalized and aggregated into the BEI under multiple weighting scenarios to reflect different planning priorities. The results identify Gubeng Station as the most TOD-ready hub, supported by high density, balanced job–to-population ratio, and strong land use integration, while Joyoboyo and Pasar Turi show limited TOD alignment. The proposed framework provides a replicable, data-driven tool to support TOD prioritization in emerging metropolitan contexts.
Machine Learning Modelling of IRI in Continuously Reinforced Concrete Pavements Using LTPP Data: Comparative Evaluation of Advanced Algorithms Alnaqbi, Ali; Zeiada, Waleed; Al-Khateeb, Ghazi; Abuzwidah, Muamer
Civil Engineering Dimension Vol. 28 No. 1 (2026): MARCH 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.28.1.130-144

Abstract

Accurately predicting International Roughness Index (IRI) is essential for effective pavement maintenance and long-term network sustainability. This study evaluates several advanced machine learning models for IRI prediction in Continuously Reinforced Concrete Pavement (CRCP) using a comprehensive dataset from Long-Term Pavement Performance (LTPP) program. Support Vector Machines, Artificial Neural Networks, Regression Trees, Ensemble Trees, and Gaussian Process Regression (GPR) were developed and assessed using Root Mean Square Error (RMSE) and R-squared (R²). The Matern 5/2 GPR model achieved the best performance, with R² = 0.97 and RMSE = 0.0776. Feature importance analysis using Random Forest identified initial IRI, construction number, layer thicknesses and temperature as the strongest predictors. Sensitivity analysis confirmed the influence of age, climate, and traffic on IRI. Using only the top ten variables produced nearly identical accuracy, improving computational efficiency. Overall, the study demonstrates the strong potential of ML for reliable and sustainable IRI prediction in rigid pavements.
Front Matter (Cover, Editorial, Table of Content) Dimension, Civil Engineering
Civil Engineering Dimension Vol. 28 No. 1 (2026): MARCH 2026
Publisher : Institute of Research and Community Outreach - Petra Christian University

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

Abstract

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