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Jurnal Teknik Sipil Cendekia (JTSC)
Published by Universitas Winaya Mukti
ISSN : 27236552     EISSN : 27233375     DOI : https://doi.org/10.51988/vol1no1bulanjulitahun2020
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture
JTSC: Jurnal Teknik Sipil Cendekia is published by Civil Engineering Study Program, Faculty of Engineering, Planning and Architecture, University Winaya Mukti. This peer-reviewed journal is designated to publish articles that report the results of research in civil engineering science. JTSC: Jurnal Teknik Sipil Cendekia invites particularly manuscripts or research-based articles in the diverse topics include functional areas of Transportation Engineering, Structure, Design road and Bridge, Geotechnic, Management Project, Contruction Management, Hydrology and Water Resources, Information Civil Technology (ICT), Entrepreneurship Civil Engineering and Engineering Economics. The manuscripts or research-based articles that will be accepted are qualitative, quantitative research and mixed method written either in Bahasa or English. We are the editorial team, welcoming the papers submissions from various audiences or professions such as researchers, academicians, students, practitioners, regulators and others who interested in Civil Engineering studies.
Arjuna Subject : Teknik (semua kategori) - Teknik Sipil dan Struktur
Articles 171 Documents
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Analisis Potensi Subsurface Dam sebagai Sistem Tampungan Air Tanah pada Endapan Aluvial Tukad Ketes, Desa Bunutan, Karangasem, Bali Anwar Makmur; Djoko Pitoyo
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.616

Abstract

Desa Bunutan, Kecamatan Abang, Kabupaten Karangasem, Bali Timur, mengalami keterbatasan air bersih pada musim kemarau akibat kondisi geologi berbatu, curah hujan rendah, debit airtanah terbatas, serta meningkatnya kebutuhan air domestik, irigasi, dan pariwisata. Pemompaan airtanah pada endapan aluvial pantai juga berpotensi meningkatkan risiko intrusi air laut, karena lapisan airtawar relatif tipis. Penelitian ini bertujuan menganalisis potensi penerapan subsurface dam sebagai sistem konservasi dan penyimpanan airtanah pada endapan aluvial Tukad Ketes. Metode penelitian adalah deskriptif-kuantitatif berbasis studi kasus melalui analisis kondisi geologi, hidrogeologi, hidrologi, karakteristik akuifer aluvial, serta estimasi kapasitas tampungan airtanah. Hasil penelitian menunjukkan bahwa lembah Tukad Ketes tersusun atas endapan aluvial berupa pasir, kerikil, kerakal, dan bongkah dengan ketebalan sekitar 30–35 m, sehingga berpotensi sebagai reservoir bawah tanah. Nilai permeabilitas endapan aluvial berkisar 10?²–10?? cm/det, sedangkan batuan dasar breksi vulkanik memiliki permeabilitas lebih rendah dan berperan sebagai lapisan kedap alami. Dengan asumsi panjang reservoir 1.000 m, lebar efektif 700 m, kedalaman cutoff wall 40 m, dan porositas efektif 10%, diperoleh potensi tampungan air teoritis sekitar 2,8 juta m³. Hasil analisis menunjukkan subsurface dam di Tukad Ketes layak dikembangkan sebagai alternatif penyediaan air baku, peningkatan cadangan airtanah, dan pengurangan risiko intrusi air laut di kawasan Bunutan.
Service Capability In Meeting Irrigation Water Availability At Cengklik Reservoir Dyah Julia Syifa; Sri Sangkawati; Hari Nugroho
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.619

Abstract

Cengklik Reservoir, located in Boyolali Regency, is mainly used to supply water for irrigation. However, changes in hydrological conditions and increasing irrigation water demand have created an imbalance between available water and irrigation needs. This study aims to evaluate the reservoir's ability to meet irrigation water demand and assess the performance of the irrigation network. The F.J. Mock method was used to estimate the dependable discharge, which had an average value of 0.338 m³/s. In addition, water from the Watuleter Supplementary Supply was considered as an extra source, providing an average discharge of 0.296 m³/s. The irrigation system serves an area of 1,460 ha with a rice–rice–secondary crop planting pattern, requiring an average irrigation water demand of 1.239 m³/s. The water balance analysis showed a surplus during seven periods, although water deficits still occurred in the remaining periods. The recommended alternative was to change the planting pattern to rice–secondary crop–secondary crop, which increased the number of surplus periods to 16, compared with the existing condition. The irrigation network performance assessment showed a score of 65.55% under existing conditions, while the proposed planting pattern improved the score to 68.93%. Although the performance improved, it still fell into the poor category. Therefore, better operation and maintenance are needed to improve the effectiveness of irrigation services.
Effect Of Shear Wall Position Variations On The Seismic Response Of Reinforced Concrete Buildings: A Case Study Of Ristia Resort Putu Didik Sulistiana; I Gede Premananda Putra; Cokorda Agung Yujana; Anak Agung Sagung Dewi Rahadiani
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.622

Abstract

The arrangement of shear walls plays a fundamental role in controlling the seismic behavior of reinforced concrete buildings by affecting lateral stiffness and structural deformation during earthquake loading. This study investigates the seismic performance of the Ristia Resort reinforced concrete building subjected to three alternative shear wall layouts. Three numerical structural models with identical geometry, material properties, loading conditions, and seismic design parameters were developed, with the shear wall locations defined as the only variable. Seismic performance was evaluated through response spectrum analysis based on SNI 1726:2019. The evaluation considered inter-story drift, story stiffness, and the proportion of design base shear carried by the shear wall system. Among the investigated configurations, Model 1 achieved the best structural performance by reducing the third-floor inter-story drift by 10.69% and 11.19% relative to Models 2 and 3, respectively. It also increased the average X-direction story stiffness by 6.38% and 6.48%, while the shear wall system resisted 66.74% and 71.08% of the design base shear in the X- and Y-directions, respectively. These results demonstrate that a symmetrical shear wall arrangement provides a more efficient lateral load-resisting system and improves the overall seismic performance of reinforced concrete buildings.
PEMANFAATAN LIMBAH FLY ASH PLTU CIREBON SEBAGAI MATERIAL ALTERNATIF FILLER PADA CAMPURAN AC - WC : PEMANFAATAN LIMBAH FLY ASH PLTU CIREBON SEBAGAI MATERIAL ALTERNATIF FILLER PADA CAMPURAN AC - WC Muhammad Aulia Rayhan; Shinta Novriani
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.634

Abstract

The ongoing operation of coal-fired power plants poses an environmental challenge due to the massive accumulation of fly ash. This experimental study evaluates the viability of utilizing industrial waste fly ash from PLTU Cirebon as an alternative filler in Asphalt Concrete - Wearing Course (AC-WC) road pavements. Laboratory specimens were prepared using a standard Marshall design framework with varying fly ash filler concentrations of 0%, 2%, and 4% by weight of the aggregate blend. Volumetric evaluations and structural stability tests were systematically conducted to assess overall mix performance. Empirical results indicate that incorporating fly ash significantly optimizes the internal structure of the asphalt. The reference mix (0% fly ash) exhibited a Marshall stability of 1394.9 kg, which experienced a controlled reduction to 1353.7 kg at 2% substitution and 1166.2 kg at 4% substitution, while remaining well above the minimum standard of 800 kg. Air voids (VIM) decreased consistently from 3.87% to 3.80% and 2.55% for the 0%, 2%, and 4% blends, respectively. Notably, the 4% dosage fell short of the mandatory 3% minimum threshold, introducing a risk of pavement bleeding. Meanwhile, the moisture susceptibility analysis revealed that the 2% fly ash mix achieved an optimal retained stability index of 97.97%, outperforming the control group. Based on a holistic analysis of physical and volumetric performance criteria, a 2% fly ash content is established as the ideal balance, fulfilling all Bina Marga regulatory codes while promoting eco-friendly, circular infrastructure development.
SYSTEMATIC LITERATURE REVIEW TERHADAP DESAIN PILE CAP PADA BANGUNAN BERTINGKAT BERDASARKAN KOMBINASI BEBAN Alifiah Hafizah
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.639

Abstract

Construction of multi-storey buildings in Indonesia has grown rapidly, increasing the structural complexity of foundation systems, particularly the pile cap, which distributes axial, lateral, and combined loads from the upper structure to the pile group. Previous studies mostly examined pile cap behaviour through single aspects, such as soil bearing capacity or conventional design methods, while integration of combined load scenarios remains underexplored. This study aims to systematically map the development of pile cap design research for multi-storey buildings based on load combinations. Its novelty lies in combining a Systematic Literature Review (SLR) following the PRISMA protocol with bibliometric analysis using VOSviewer and RStudio (bibliometrix), producing both qualitative synthesis and quantitative visualization of research trends, keyword networks, and collaboration patterns not jointly examined in prior pile cap literature. The method involved a two-stage search in the Scopus database covering 2021–2025, screening 1,326 articles down to 47 final articles for analysis. Results show structural analysis, seismic response, and pile foundations remain dominant themes, while numerical methods such as the Strut-and-Tie Model and Finite Element Method increasingly replace conventional approaches. The journal Buildings emerged as the most productive source, with a notable increase after 2023. Integration of combined loading conditions with pile cap design remains a significant research gap requiring further investigation.
Effect of Shear Wall Placement Variations on Seismic Response of Reinforced Concrete Dual-System Buildings Puspita Rahmasari; Chandra Alip Pratama; Qalbi Hafiyyan
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.651

Abstract

The seismic performance of reinforced concrete dual-system buildings is highly impacted by the shear wall position, particularly in seismic risk-prone and soft soil regions such as Jakarta, Indonesia. This study examines the influence of shear wall layout diversity on the elastic seismic response of a 15-story reinforced concrete dual-system building. Five structural models were developed in finite-element structural analysis software, consisting of one model without shear walls (N-SW) and four models with identical shear wall areas yet different layouts: diagonal corner (DC-SW), core (C-SW), four-corner (FC-SW), and mid-side (MS-SW). The seismic response was assessed using response spectrum analysis by comparing the fundamental period, modal mass participation ratio, lateral displacement, lateral stiffness, inter-story drift, and internal forces in columns and shear walls. All of the structural models containing shear walls satisfied the dual-system requirements, while the N-SW was not classified as a dual-system structure. All models likewise complied with the inter-story drift limits specified in SNI 1726:2019. Nevertheless, their seismic responses varied depending on the adopted shear wall layout. The core configuration generally exhibited the highest lateral stiffness, the shortest fundamental period, and the lowest lateral displacement. It also reduced the bending moment and shear force demands in the columns. These outcomes indicate that the location of shear walls governs the seismic force transfer and the overall behavior of reinforced concrete dual-system buildings.
Road Maintenance Model In Bogor City Using Sem-PLS Analysis Dian Setiawan; Leksmono S. Putranto; Endah Murtiana Sari
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.641

Abstract

Road maintenance is an important aspect of maintaining the level of service of transportation infrastructure. However, its implementation still faces various obstacles that lead to declining road quality, cost overruns, and low effectiveness of maintenance programs. This study aims to analyze the factors influencing road maintenance cost estimation and to develop a road maintenance model based on Structural Equation Modeling–Partial Least Squares (SEM-PLS). The study used a quantitative approach through a survey of 226 respondents consisting of construction service providers, supervisory consultants, and government agencies involved in road maintenance work. Data were collected using a five-point Likert-scale questionnaire and analyzed with SmartPLS. The analysis included measurement model (outer model) testing through convergent validity, discriminant validity, and construct reliability tests, as well as structural model (inner model) testing to examine the relationships among variables. The results show that all constructs met the validity and reliability criteria, with outer loading > 0.70, Average Variance Extracted (AVE) > 0.50, and Composite Reliability and Cronbach's Alpha > 0.70. Structural model testing shows that material and equipment costs, labor, traffic conditions, planning/design quality, drainage conditions, and external factors have a significant effect on road maintenance cost estimation, with maintenance strategy acting as a mediating variable. The resulting model is expected to serve as a basis for decision-making in formulating more effective, efficient, and sustainable road maintenance strategies. The findings are expected to serve as a reference for local governments and road managers in improving the quality of data-driven decision-making in road maintenance programs
Electrical Project Model Using the Local Component Level (TKDN) in Government Building Construction Mas’ud Dohim; Dyah Erny Herwindiati; Endah Murtiana Sari
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.642

Abstract

The implementation of TKDN level in electrical work is one of the government's strategic policies to enhance national industrial competitiveness, reduce dependence on imported products, and support sustainable infrastructure development. However, the implementation of TKDN in government building construction projects still faces various obstacles, such as the limited availability of TKDN-certified products, low integration between planning and procurement, and the absence of a model capable of explaining the factors that influence the level of TKDN implementation. This study aims to develop an electrical work model using the TKDN level in government building construction by identifying the factors that influence its implementation and analyzing the relationships among these factors with respect to the success of TKDN implementation. The study employed a quantitative approach through the distribution of questionnaires to 210 respondents; the data were then analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) to test the relationships among variables and to construct an empirical model. The results produced a model explaining the influence of the unit price of electrical work, electrical material, labor, electrical equipment, and TKDN policy on the level of TKDN implementation, as well as its impact on project performance. The novelty of this study lies in the development of a TKDN implementation model for electrical work that integrates regulatory compliance and supervision, technical, and managerial aspects within a single empirical framework. The resulting model is expected to serve as a basis for decision-making  in increasing the use of domestic products in government building projects.
Development of a Machine Learning-Based DSS for Predicting Unit Price Escalation of Water Resources Projects: Literature Review Ince Suil Febryan Maula; Lina Lina; Endah Murtiana Sari
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.646

Abstract

Unit price escalation in Water Resources (SDA) projects is a challenge for project implementation success. The uncertainty of material prices, labor wages, equipment costs, energy prices, inflation, exchange rates, changes in government policies, spatial conditions, project characteristics, and various external risks make price escalation predictions increasingly complex and difficult to perform using conventional approaches. The development of ML combined with DSS offers a more adaptive, accurate, and data-driven predictive approach to support decision-making  of projects. This study aims to examine the application of ML in predicting unit price escalation in SDA projects, identify factors that influence prediction accuracy, and formulate directions for integrated DSS development. The study uses the Systematic Literature Review (SLR) method based on the PRISMA 2020 guidelines by reviewing articles published in the period 2015–2025 from the Scopus, Web of Science, ScienceDirect, IEEE Xplore, and SpringerLink databases. The results of the study indicate that the Random Forest, Extreme Gradient Boosting (XGBoost), Artificial Neural Network (ANN), Long Short-Term Memory (LSTM), and Gradient Boosting algorithms provide better predictive performance than conventional statistical methods. Most studies are still oriented towards general project cost estimation and have not developed a DSS capable of dynamically integrating economic factors, labor, project characteristics, spatial conditions, risks, and historical data to predict unit price escalation of natural resource projects. 
Random Forest-Based Material Planning for Precast Bridge Construction: A Systematic Literature Review Fardiansyah Maula; Lina Lina; Endah Murtiana Sari
JURNAL TEKNIK SIPIL CENDEKIA (JTSC) Vol 7 No 3 (2026): Juli
Publisher : Departement of Civil Engineering, Universitas Winaya Mukti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51988/jtsc.v7i3.648

Abstract

Accurate material planning plays a critical role in improving the efficiency of precast bridge construction projects. Inaccurate estimation of material requirements may result in resource waste, production delays, erection disruptions, and increased project costs. Conventional material planning approaches mainly rely on deterministic calculations and practitioners’ experience, making them less effective in handling complex project characteristics and uncertainties. Recently, Random Forest has emerged as one of the most widely applied machine learning algorithms in construction management because of its capability to model nonlinear relationships, process high-dimensional datasets, reduce overfitting, and identify influential variables affecting prediction performance. This study aims to systematically review previous research on the application of Random Forest in construction material planning, with particular emphasis on precast bridge projects. A Systematic Literature Review (SLR) based on the PRISMA 2020 framework was conducted using publications indexed in Scopus, Web of Science, ScienceDirect, SpringerLink, Taylor & Francis, and IEEE Xplore between 2015 and 2025. The review reveals that Random Forest has been successfully implemented for construction cost estimation, resource forecasting, supply chain optimization, productivity prediction, and project risk management. However, its application to material planning in precast bridge construction remains limited. Based on the identified research gap, this study proposes a conceptual framework integrating Random Forest with a Decision Support System (DSS) to support more accurate, adaptive, and data-driven material planning. The findings contribute to advancing artificial intelligence applications in construction management while promoting efficiency and sustainability in precast bridge projects.

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