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Ahmad Basshofi Habieb
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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 11 Documents
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Search results for , issue "Vol. 40 No. 2 (2025)" : 11 Documents clear
Seismic Evaluation of Graha 10 Nopember Building Using Indonesian Earthquake Hazard Deaggregation Map 2022 Khusniatul Aini; Ahmad B. Habieb Basshofi habieb
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7216

Abstract

The occurrence of large-scale earthquakes in Indonesia is still one of the phenomena that often occurs, this can cause damage to buildings, so applying standardization of earthquake-resistant buildings during construction is necessary. This study review was carried out on Graha Sepuluh Nopember building using evaluation method to earthquake-resistant buildings regulated in Indonesian Earthquake Hazard Deaggregation Map (Pusgen, 2022). The model was evaluated using nonlinear time history analysis in order to obtain behavior in post-elastic conditions. The result of this research uses parameters of displacement and plastic hinge, indicates that the building has immediate occupancy performance level means that the building structure is safe, structural failure is not significantly damaged and can be used again immediately.
Comparative Study on Artificial Intelligence Methods in Housing Price Prediction Willy Husada; Ambrosius Matthew Junius Reynaldo; Josh Felix Hogianto; Clarissa Arisanti Putri
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7230

Abstract

The demand for property, including houses, continues to grow rapidly in Indonesia. The housing price prediction is essential in assisting the stakeholders such as buyers, sellers, and investors to make better decision-making. There are many key factors that influencing the housing prices and it is challenging to identify the most relevant factors. This study provides a comparative analysis of various methods in the housing price prediction that consists of one traditional method, Linear Regression (LR), and three artificial intelligence (AI) methods, including Artificial Neural Network (ANN), Classification and Regression Tree (CART), and Chi-Squared Automatic Interaction Detection (CHAID). The aim is to find the best machine learning method in predicting the housing price in terms of prediction accuracy through the four performance indicators and one combined performance index called the reference index (RI). The main findings of this study is that the AI-based method, the ANN method, has the best accuracy indicated by its highest RI value hence outperforming other methods in predicting the housing prices.
Barriers to Social Sustainability in Residential Building Construction in Afghanistan Mohammad Q. Mohammadi; Mohammad A. Rohman
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7238

Abstract

Although socially sustainable buildings are becoming increasingly popular worldwide, past studies indicate that when policymakers support sustainable building development, the social dimension is often given less attention or is entirely disregarded. There is not much research that focus on the challenges of socially sustainable buildings in Afghanistan. This research investigated the factors that hinder implementation of social sustainability in residential building construction. The study collected data from construction professionals and employed Exploratory Factor Analysis (EFA) and Varimax for analysis. The findings are critically analysed and discussed. The results indicate that there are six underlying factors for the barriers to socially sustainable building construction in this context. Among these barriers, lack of urban planning, awareness, and economic incentives are rated as the greatest impediments to social sustainability in residential buildings. The primary goal of this study is to reduce the barriers’ dimensionality to make it easier for practitioners to overcome challenges. Moreover, to inform decision-making in the industry and encourage the adoption of more socially sustainable construction practices.
Observation on Soil Liquefaction Analysis at Uttara Depot of Dhaka MRT Line 6 Arafat Chowdhurya; Shafiqul Islam; Md. Musfikuzzaman; Masum Mridha
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7247

Abstract

The Dhaka Metro Rail Line 6, also known as DMRT Line 6, is the first metro rail megaproject in Bangladesh which is undertaken by the government owned autonomous institution named Dhaka Mass Transit Company Limited (DMTCL). The Dhaka MRT Line-6 project consists of eight packages in total from CP (Contract Package)-01 to CP-08. The CP-01 package covers the construction of a depot at Diabari in Uttara, Dhaka. This package includes the soil improvement and land development for the construction of embankment at depot area. As CP-01 is a land development project, this project is sensitive to various geotechnical challenges, so it is obvious to identify and mitigate the geotechnical concerns associated with the project. This research analyses the potential of soil liquefaction which is a prime geotechnical challenge for this project at different boreholes of the depot. The required data is taken from the soil test report of three major boreholes (NDP-02, NDP-08 and NDP-11) at depot area and the analysis is then done according to the Seed and Idriss formula. Finally, the Factor of Safety (FL) at different depths of the soil is represented graphically to understand the overall potentiality of liquefaction with subsoil condition of the depot area.
Jute Fiber as a Sustainable Reinforcement for Improving the Performance of RCA Concrete Saniul Haque Mahi; Md. Shourov Hossen
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7248

Abstract

Concrete demand growth in construction keeps pushing the construction industry to exploit natural aggregates beyond safety levels while damaging the environment and raising carbon pollution levels. The use of recycled Concrete Aggregate (RCA) as a sustainable solution results in compromised mechanical values and durability because of its high porosity together with weak interfacial transition zones (ITZ). The research investigates Jute Fiber (JF) reinforcement systems as a method to boost mechanical characteristics in concrete made from recycled concrete aggregates. This investigation evaluated the effect of changing JF levels from 0.15 to 0.35 percent and the use of 25 to 100 percent RCA while studying concrete workability, compressive strength, split tensile strength, and water absorption. Seventeen mixtures of concrete were tested which showed that workability alongside strength performance reduced because of the porous characteristics of RCA. JF showed its best mechanical impact when used with a combination of 0.15% concentration and 25% RCA content in the mixtures (J0.15R25). Fiber compressive strength and water absorption levels increased with greater than 0.25% fiber addition because the fibers clustered together while the JF absorbed more water. Research findings demonstrate that JF and RCAmerged as an effective method to provide durable concrete which presents improved durability and tensile strength as well as crack resistance. The successful implementation of this method depends on precise control of fiber content combined with correct replacement ratios between RCA and cement. Research findings enable progress in developing sustainable efficient construction concrete materials for the building sector.
The Effect of Steel Fiber Content on The Splitting Tensile Strength of Steel Fiber Reinforced Concrete (SFRC) Mentari S. Sitorus; Indah N. Afiah; Zulfadli Ibrahim; Andi Firman Muhibuddin
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7249

Abstract

Concrete is a composite material consisting of two main components namelyaggregate and cement mortar as a binder. Concrete has high compressive strengthbut weak tensile strength. The addition of fiber in concrete can improve ductilebehavior before collapse, inhibit the growth of crack expansion and increasedurability. This study aims to examine the effect of fiber content on themechanical properties of fiber concrete. The fibers used were ssteel fibers withhooked end, and l/d ratio = 67,7 mm with normal concrete quality f’c = 25 MPa.The percentage of fiber content used in this study was 0%, 0,1%, 0,2%, 0,3%,0,5%, 0,75%, 1%, 1,5% and 2%. The results showed that the addition of fiber inconcrete was able to increase the split tensile strength by 7 – 117%. Fiber concretehas higher ductility than normal concrete. This is indicated by the high deflectionof fiber concrete compared to the deflection of normal concrete under load.
Sensitivity Analysis of Calibration in the Water Evaluation and Planning (WEAP) Model for Water Resource Management in Keyang, Slahung, Sungkur Watershed Belia Tatika Arno Dianeka; Umboro Lasminto
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7253

Abstract

Water availability is a critical issue as population growth increases, while water resources remain limited and insufficient to meet rising demand. This is evident in the Keyang, Slahung, and Sungkur sub-watersheds in Ponorogo Regency, East Java, which suffer from drought during the dry season and flooding in the rainy season. To support sustainable water resource management, accurate modelling tools are needed to reflect real field conditions. The Water Evaluation and Planning (WEAP) model is commonly used to simulate integrated water resource management, and model calibration is essential to ensure its reliability. This study employed the soil moisture method, which requires data on water availability from both surface water and groundwater, as well as water demand data across domestic, non-domestic, irrigation, and livestock sectors. Model calibration resulted in optimum parameter values: Z1 = 0, Z2 = 0, DWC = 1000, DC = 250, RRF = 10, RZC = 300, SWC = 1000, and PFD = 0.05. Based on these values, the model achieved a Nash-Sutcliffe Efficiency (NSE) of 0.85 (good category), RMSE of 5.35 (good enough), PBIAS of 19.99 (good enough), R² of 0.84 (medium influence), and MAPE of 0.42 (very accurate). These results confirm that the model reliably represents actual hydrological conditions in the study area.
The Effect of Patterns of Space Circulation on the Understanding and Satisfaction of Visitors to the Museum of Makassar Nahridzah Mahjubuh Shiber; Muhammad Haristo Rahman; Jusbaeni Jusbaeni
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7256

Abstract

The Museum of Makassar, in its capacity as a representative space of urban historyand culture, plays a pivotal role is fostering collective public awareness of city’sheritage. However, the undirected circulation structure of the exhibition spaceengenders a fragmented and unsystematic visitor experience. The objective of thisresearch is to examine visitor circulation patterns in Museum of Makassar andformulate a spatial movement model that is able to integrate curatorial narrativesmore effectively. This research utilizes a qualitative approach, employing directobservation, spatial mapping and spatial configuration analysis to evaluate therelationship between the movement of visitors and their comprehension ofexhibition content. The findings of this research are anticipated to contribute ofthe development of spatial planning strategies for museums that are morecommunicative, directed and inclusive, thereby supporting museum in their roleas inclusive and immersive public learning spaces.
Interactive Effects of Span Length and Rafter Angle on The Ductility and Stability of Steel Warehouse Structures Kevin C. Darmawan; Budi Suswanto; Aniendhita R. Amalia
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7257

Abstract

The warehouse frame is a specialized steel structure requiring more complexcalculations than standard portal frames. This study investigates the impact ofrafter angle and span length on ductility and stability. Results indicate thatincreasing span length enhances ductility but reduces stability due to higher storydrift. For example, M1 (10-meter span) shows a ductility of 4.62 and story drift of13.64 mm, while M3 (20-meter span) achieves 5.07 (+9.62%) with a drift of 46.77mm. A larger rafter angle slightly increases ductility but decreases stability. M1 (10°angle) records 4.62 ductility and 13.64 mm drift, whereas M7 (20° angle) reaches4.71 (+1.79%) with 16.92 mm drift. Higher structure stiffness reduces ductility butboosts stability. M3 (128.29 kN/m stiffness) shows 5.07 ductility and 46.77 mmdrift, while M12 (192.67 kN/m) records 4.96 (-2.17%) with 29.68 mm drift. DespiteM12's minor ductility reduction, M3 demonstrates better elastic-plastic behavior.These findings reveal a clear polarity between ductility and stability.
A Bibliometric Overview of Current States and Research Trends in Concrete-Filled Tube Columns Jen Hua Ling; Armstrong Ighodalo Omoregie
Journal of Civil Engineering Vol. 40 No. 2 (2025)
Publisher : Institut Teknologi Sepuluh Nopember (ITS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v40i2.7318

Abstract

Concrete-filled tube (CFT) columns have gained prominence in structuralengineering for their exceptional load-bearing capacity and efficiency. This studyconducts a bibliometric analysis of 1,154 publications from 2014 to August 2024,using data from the Scopus database and VOSviewer, to map research trends andkey developments in CFT studies. Citation, co-citation, and co-authorshipanalyses identify influential publications, journals, authors, countries, andinstitutions. Findings highlight significant growth in research output andincreasing focus on advanced modelling techniques, including machine learning.Emerging themes include integrating alternative materials such as FiberReinforced Polymer (FRP), stainless steel, High-Performance Concrete (HPC),Recycled Aggregate Concrete (RAC), and Seawater Sea Sand Concrete(SWSSC), showcasing the potential of multi-material innovations. This analysisoffers insights into current research directions and identifies gaps, suggesting thatfuture work explore novel material combinations and advanced modellingapproaches to enhance performance and drive innovation in CFT column studies.

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