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All Journal Structures, Infrastructure, Planning, Implementation, and Legislation
Vina Levia Budiman
Universitas Andalas
Civil Engineering, Building, Construction & Architecture

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Study on the Optimization of Concrete and Reinforcement Steel Volume in the Superstructure Work of Multi-Story Buildings Vina Levia Budiman; Erick Vanhalen
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 1 No. 1 (2025): April, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v1i1.237

Abstract

The efficient use of materials in reinforced concrete (RC) superstructures is a critical challenge in modern construction, driven by both economic and environmental considerations. This study investigates the optimization of concrete and reinforcement steel volumes in the superstructure of a multi-story RC building by analyzing project-specific volumetric data. The research employs a quantitative approach, beginning with data collection from structural design documents, followed by structural analysis in accordance with SNI 2847:2013 and SNI 1727:2013, and concluding with optimization strategies based on comparative and algorithmic methods. The results indicate that slabs consume the largest portion of concrete, accounting for 58.93% of the total volume, while beams and columns account for 31.33% and 9.74%, respectively. Reinforcement steel consumption was more balanced, with beams (37.96%) and slabs (36.72%) dominating, and columns contributing 25.32%. These findings are consistent with global trends, where slabs and beams represent the most material-intensive components in RC structures. The study highlights the potential for optimization strategies such as reducing slab thickness, refining reinforcement detailing, or applying algorithm-based approaches like genetic algorithms and MINLP to achieve significant material savings without compromising safety. By integrating empirical volumetric data with computational optimization methods, this research provides both theoretical insights and practical recommendations to improve the structural efficiency, cost-effectiveness, and sustainability of multi-story RC buildings.
The Impact of Material Price Fluctuation on Cost Overruns in National Toll Road Infrastructure Projects Rudi; Vina Levia Budiman; Masdiana; Nur Khaerat Nur; Erniati Bachtiar
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 1 No. 2 (2025): October, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v1i2.314

Abstract

Fluctuations in construction material prices significantly challenge infrastructure project management, especially in Indonesia’s national toll road sector from 2023 to 2025. Employing a quantitative approach with purposive sampling of National Strategic Toll Road Projects (PSN), this study investigates the impact of price volatility for core materials (cement, steel, and asphalt) on project cost overruns. The analysis utilizes dual-source data: secondary data from the official Wholesale Price Index (WPI) published by the Central Statistics Agency (BPS) and budget realization data from the Ministry of Public Works and Housing (PUPR)/BPJT. Advanced analytical methods, including Structural Equation Modeling (SEM) to establish causal relationships and Least Squares Support Vector Machine (LSSVM) to develop a predictive model, reveal strong positive correlations between material price fluctuations and cost increases, with steel price volatility having the most pronounced effect. Empirical findings show cement prices increased by approximately 12.5% and steel by 15.3%, leading to cost overruns contributing up to 21% additional project costs. High reliability (Cronbach’s alpha 0.89) and data validity support these findings. Practical implications include the need for real-time price monitoring, adaptive budgeting with contingency funds of 20–25%, flexible procurement contracts, and digital tools like Building Information Modeling for risk mitigation. This research bridges macroeconomic volatility and engineering practice by offering an actionable predictive framework to support fiscal integrity and timely project delivery. Further research should incorporate socio-political variables and enhance predictive analytics using big data.
Comparative Analysis of Fatal Construction Accident Types Revealing Safety Performance in the Services Sector Anindya Monika Putri; A. Ferina Herbourina Bonita; Vina Levia Budiman; Andi Rista Irawati Tanrasula; Erniati Bachtiar
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 1 No. 2 (2025): October, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v1i2.317

Abstract

Occupational safety remains a critical challenge in the Indonesian construction sector, contributing to over one-third of all national work-related fatalities. This study performs a rigorous quantitative analysis using a census of 102 official fatal accident records from BPJS Ketenagakerjaan and the Ministry of PUPR (2018–2023).  The findings confirm that Falls from Height are the dominant cause of fatalities (41.2%), followed by material strikes. Statistical modeling (Logistic Regression) identified that short work tenure (< 5 years, OR ≈ 2.5) and safety harness non-compliance (OR ≈ 3.0) are the strongest predictors of this high-risk accident type.  The study indicates a systemic failure in enforcing OHS protocols, particularly concerning work-at-height hazards and Personal Protective Equipment (PPE) compliance. The novelty lies in the systematic use of national fatality census data coupled with risk modeling to empirically validate specific behavioral and demographic factors contributing to the most prevalent fatality type in Indonesia.  This work provides a strong empirical basis for developing evidence-based OHS policies, emphasizing the urgent need for stringent regulatory enforcement and targeted safety training for vulnerable worker groups.
Investigating the Role of Smart Safety Systems in Mitigating Accident Rates Across High-Rise Construction Sites Rifdah Wardani; Alfiah Ramadhani Amran; Rini Damayanti; A. Ferina Herbourina Bonita; Vina Levia Budiman
Structures, Infrastructure, Planning, Implementation, and Legislation Vol. 1 No. 2 (2025): October, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/sipil.v1i2.320

Abstract

The high-rise construction sector faces major occupational safety risks (falls, struck-by incidents, equipment failure), resulting in significant losses. This study examines how smart safety systems (sensor helmets, IoT monitoring, drones, and AI prediction) mitigate these accident rates. Using a quantitative design and secondary data from global safety bodies and large contractors, the research analyzes incident reports and performance metrics via statistics and logistic regression. Results confirm a substantial accident rate reduction (over 50%) after smart system deployment, suggesting improved risk management and safety culture. Findings advocate for regulatory standards mandating smart safety technology integration. The conclusion underscores smart safety's transformative impact on construction safety and recommends further longitudinal study into adoption challenges and technological refinement.
Co-Authors A. Ferina Herbourina Bonita Alfiah Ramadhani Amran Andi Rista Irawati Tanrasula Anindya Monika Putri Erick Vanhalen Erniati Bachtiar Masdiana Nur Khaerat Nur Rifdah Wardani Rini Damayanti Rudi Rudi