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Evaluation of the Implementation of Occupational Safety and Health (K3) in the Road Improvement Construction Project in Kabanjahe, Karo Regency Theo Haganta; Mardiaman; Hikma Dewita
Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Vol 10 No 2 (2025): SEPTEMBER
Publisher : Program Studi Teknik Sipil, Fakultas Teknik, Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/cvl.v10i2.1434

Abstract

Road construction projects are among the sectors with a high risk of work-related accidents. One of the main causes is the low awareness and compliance of workers in using Personal Protective Equipment (PPE), which should be an integral part of Occupational Safety and Health (OSH) implementation. This study aims to evaluate the implementation of OSH, particularly regarding the use of PPE, in a road improvement project in Kabanjahe District, Karo Regency. The method used is a quantitative approach through questionnaires distributed to 140 field workers. The analysis results show that factors such as lack of education on PPE, weak supervision by management, substandard PPE quality, and a work culture that neglects safety are the main reasons for low compliance. The most influential factors include lack of awareness of work safety importance and absence of routine training related to OSH. Therefore, an integrated strategy is needed, which includes intensive education, provision of PPE that meets national standards (SNI), as well as strict supervision and enforcement, to ensure optimal OSH implementation and reduce the number of work accidents in construction projects.
Model Probabilistik Penentuan Bobot Biaya Tenaga Kerja, Material, dan Peralatan pada Proyek Gedung Menggunakan Simulasi Monte Carlo Henry Maurice; Mardiaman Mardiaman
Jurnal Talenta Sipil Vol 9, No 2 (2026): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i2.1333

Abstract

The construction industry is characterized by high cost uncertainty due to material price fluctuations, labor productivity variability, design changes, and market dynamics. At the conceptual estimating stage, project cost structures are commonly determined using deterministic approaches based on historical averages, which fail to adequately represent real-world variability. This study aims to develop a probabilistic model for determining the weight of labor, material, and equipment costs in three-story building projects using Monte Carlo simulation based on empirical data from 16 completed projects. The methodology includes descriptive statistical analysis to obtain distribution parameters, goodness-of-fit testing for selecting appropriate probability distributions, and a 1,000-iteration Monte Carlo simulation applied to a normalized composite cost structure index. The results indicate average cost proportions of 40.57% for labor, 34.53% for materials, and 11.45% for equipment, with substantial variation across projects. The simulation produced a mean composite index value of 116.98 with a P10–P90 interval ranging from 74.25 to 157.30, indicating moderate to high cost uncertainty. The proposed model is recommended as a confidence-level–based conceptual estimating baseline to enhance budget planning accuracy and cost risk management in low-rise building projects.
Analisis Distribusi Biaya Proyek Menggunakan Pareto Untuk Mengidentifikasi Cost Drivers pada Proyek Revitalisasi Sekolah Rawan Banjir Fadillah Taufik; Mardiaman Mardiaman
Jurnal Talenta Sipil Vol 9, No 2 (2026): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i2.1388

Abstract

The revitalization of school buildings in flood-prone areas has become a significant challenge in managing educational infrastructure in Indonesia. The general problem frequently encountered is the high construction cost caused by the need to adapt buildings to flood risks, while public project budgets are required to remain efficient and accountable. In the revitalization project of SDN Sukamanah 02 Jonggol, the building’s location below the surrounding road and drainage elevation resulted in recurring flooding that damaged school facilities and disrupted educational activities. The specific problem addressed in this study is the lack of information regarding project cost distribution and dominant work items (cost drivers) contributing the largest proportion of the total revitalization cost. Therefore, this study aims to analyze the cost distribution of the SDN Sukamanah 02 revitalization project using Pareto Analysis to identify dominant work items as a basis for project cost control. This research employed a descriptive quantitative method with a case study approach. The data were obtained from the Bill of Quantities (BoQ), technical specifications, field observations, and project documentation of the SDN Sukamanah 02 revitalization project. The analysis was conducted using the Pareto method by ranking work items from the highest to the lowest cost and calculating their cumulative percentage contribution to the total project cost. The results indicate that five dominant work items, namely bitumen roof covering, soil embankment, fabricated doors and windows, granite flooring, and PVC ceiling, contributed approximately 57.9% of the total project cost. These findings demonstrate that most project costs were concentrated on environmental adaptation works and architectural components. This study recommends the application of Pareto Analysis as a basis for cost control and efficiency evaluation priorities in school revitalization projects located in flood-prone areas.
Analisis dan Pemeringkatan Faktor Kritis yang Mempengaruhi Mutu Pengelasan Struktur Baja Menggunakan Relative Importance Index (RII) Muhammad Firdaus; Mardiaman Mardiaman
Jurnal Talenta Sipil Vol 9, No 2 (2026): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i2.1422

Abstract

Welding quality plays a crucial role in determining the strength, safety, and long-term performance of structural steel construction. Welding defects may lead to rework, project delays, additional costs, and reduced structural reliability. Therefore, identifying and prioritizing the factors influencing welding quality is essential for improving construction performance and quality management practices. This study aims to identify and rank the critical factors affecting structural steel welding quality using the Relative Importance Index (RII) method. A quantitative survey approach was employed in this study. Data were collected from 100 construction professionals, including engineers, welders, quality control personnel, welding inspectors, supervisors, and project practitioners involved in structural steel works. The questionnaire was developed based on the AWS D1.1 standard and relevant literature and distributed through Google Forms via WhatsApp between March and April 2026. The research instrument consisted of 24 causal-factor indicators grouped into six dimensions, namely technical aspects, documentation, human resources, supervision, management, and work environment, as well as five welding-quality outcome indicators. Reliability testing showed that the overall instrument achieved a Cronbach’s Alpha value of 0.984, indicating excellent internal consistency. The results of the Relative Importance Index analysis revealed that the five most influential factors affecting welding quality were quality control supervision before, during, and after welding activities, cleanliness of the welding area from contaminants, compliance with AWS D1.1 standards, availability of competent welding inspectors, and the use of calibrated and well-maintained welding equipment. These findings indicate that welding quality is influenced not only by technical factors but also by effective supervision systems, personnel competency, and adherence to quality management procedures. The study provides practical guidance for contractors, consultants, owners, and quality management teams in prioritizing quality improvement strategies for structural steel welding projects.
Evaluasi Wastage Level Material Struktur (Besi, Kayu, dan Beton) pada Proyek Rumah Susun Pemerintah di Surakarta Heribertus Nurbawono Budiharsanto; Mardiaman Mardiaman
Jurnal Talenta Sipil Vol 9, No 1 (2026): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i1.1266

Abstract

The construction industry is one of the sectors with a high level of material waste, particularly in structural works of building projects. Material waste not only leads to project cost inefficiencies but also increases environmental burdens and contradicts the principles of sustainable construction, especially in government-funded apartment projects that demand high accountability. Therefore, evaluating material waste based on actual field data is essential to improve material management performance. This study aims to evaluate the level of material waste (wastage level) of structural materials, including reinforcing steel, formwork plywood, and concrete, in a government apartment project in the City of Surakarta. The research employed a descriptive quantitative approach with a case study method, using a comparison between material acceptance data and actual material usage during the execution of structural works. The results indicate that reinforcing steel exhibits the highest average wastage level at 13.38%, followed by plywood at 9.90%, while concrete shows the lowest wastage at 2.50%. The highest wastage in steel materials occurs in M6 wiremesh, reaching 55.74%, whereas the highest plywood wastage is found in 12 mm plywood at 17.73%. The relatively low concrete wastage reflects the effectiveness of ready-mix concrete procurement systems in controlling material volume and minimizing residual waste.Based on these findings, it is recommended to improve steel cutting planning, select more durable formwork materials, and strengthen on-site material control to reduce material waste and support the implementation of sustainable construction practices in government housing projects.
Prediksi Progres Aktual Proyek Konstruksi pada Tahap Awal Durasi Menggunakan Earned Value Management Ery Alfred Ibrahim; Mardiaman Mardiaman
Jurnal Talenta Sipil Vol 9, No 2 (2026): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i2.1374

Abstract

This study is motivated by the limitations of previous research, which has predominantly focused on project performance evaluation during the execution or completion stages, while the capability of Earned Value Management (EVM) to predict project progress in the early phase remains underexplored. The objective of this study is to analyze and predict the actual progress performance of construction projects during the early stage of project duration. The research adopts a quantitative descriptive-analytical approach by utilizing key EVM indicators, namely Planned Value (PV), Earned Value (EV), and Schedule Performance Index (SPI), along with the development of a predictive model based on cumulative average performance (SPI_avg). The study was conducted on three public building construction projects with durations ranging from 52 to 68 weeks, with evaluation points set at 10% to 50% of the total project duration. The results indicate that the accuracy of the prediction model is highly influenced by the stability of SPI values during the early stage. Projects with stable performance produce lower prediction errors (approximately 20–45%), whereas projects with high performance fluctuations exhibit significantly higher errors (greater than 60%). Projects experiencing extreme acceleration in the early phase tend to produce overestimated predictions due to bias in SPI values. This study recommends the use of more adaptive prediction models, as well as the integration of complementary methods such as Earned Schedule, to improve prediction accuracy under fluctuating project conditions.
Analisis Risiko Proyek Konstruksi Jalan Tol Menggunakan Metode Risk Matrix dan Relative Importance Index (RII) Arief Budi Hartono; Mardiaman Mardiaman
Jurnal Talenta Sipil Vol 9, No 2 (2026): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i2.1394

Abstract

Toll road construction projects are characterized by high complexity and uncertainty due to the involvement of multiple stakeholders, regulatory constraints, and dynamic site conditions, which often lead to delays and cost overruns. Despite extensive studies on construction risk, existing approaches tend to apply fragmented methods that fail to simultaneously capture risk magnitude and prioritization in an integrated manner. This study aims to develop a comprehensive risk evaluation framework by integrating the Risk Matrix and Relative Importance Index (RII) to identify, assess, and prioritize risks in toll road construction projects. A quantitative approach was employed using primary data collected through structured questionnaires distributed via Google Form to project stakeholders between January and February 2026. The identified risk variables were analyzed by calculating risk scores based on probability and impact, followed by RII to determine risk prioritization. The results were further visualized using a risk heatmap to enhance interpretability. The findings reveal that the most critical risks are predominantly associated with non-technical factors, particularly land acquisition delays, land readiness issues, and inter-agency coordination. These risks consistently rank highest in both risk matrix and RII analyses, indicating strong agreement between risk severity and stakeholder perception. Additionally, operational risks such as construction delays and traffic disruptions also contribute significantly to project performance degradation. This study contributes by proposing an integrated and visually enhanced risk assessment framework that bridges the gap between quantitative evaluation and practical decision-making. The proposed approach provides a more comprehensive understanding of risk distribution and prioritization, offering practical implications for improving risk management strategies in large-scale infrastructure projects, particularly in developing countries.
Probabilistik Durasi Proyek Konstruksi Menggunakan Integrasi Critical Path Method dan Simulasi Monte Carlo pada Pembangunan Gedung Ruang Kelas Belajar MAN 4 Kampar Herianto Siahaan; Mardiaman Mardiaman
Jurnal Talenta Sipil Vol 9, No 2 (2026): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i2.1337

Abstract

Construction project scheduling commonly applies a deterministic approach using the Critical Path Method (CPM) to determine critical activities and project duration. However, this approach often fails to represent the uncertainty of activity durations that frequently occur during project implementation. Such uncertainty may cause deviations from the planned schedule and increase the risk of project delays. Therefore, a probabilistic approach is required to analyze project duration variability more realistically. This study aims to analyze the probability of construction project completion time by integrating the Critical Path Method and Monte Carlo simulation. The case study was conducted on the construction project of the MAN 4 Kampar classroom building with a planned duration of 244 days. The analysis began with developing a project network and identifying the critical path using CPM. The variability of activity durations on the critical path was then modeled using a triangular probability distribution and analyzed through Monte Carlo simulation using Oracle Crystal Ball with 1000 iterations. The simulation results indicate that the project duration follows a probabilistic distribution ranging from 199.13 days to 214.99 days. The project duration at the P50 probability level is 207.58 days, while the P80 and P90 levels are 209.76 days and 210.76 days, respectively. These findings demonstrate that the probabilistic approach provides a more comprehensive representation of project duration variability compared with the deterministic approach. Therefore, the integration of CPM and Monte Carlo simulation is recommended as a probabilistic analysis method in the planning and control of construction project schedules to anticipate project duration uncertainty.
Analysis of Project Cost Estimation as an Effort to Improve Construction Project Time Performance Semedi Napitupulu; Mardiaman; Syafiatun Siregar
CIVED Vol. 12 No. 1 (2025): Regular Issue
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/cived.v12i1.679

Abstract

Construction project management aims to manage time, cost, and resources effectively and efficiently so that the project can be completed according to plan. However, in practice, many construction projects, especially in the Medan City area, experience significant delays and cost overruns. This is due to inaccurate cost and time estimates, as well as lack of attention to various internal factors. This study aims to analyze project cost estimation as an effort to improve construction project time performance. Data were collected from 201 respondents working in the construction sector with varying educational backgrounds and work experiences. The analysis was conducted using the covariance-based Structural Equation Modeling (CB-SEM) approach with the help of AMOS software, as well as the Maximum Likelihood Estimation technique to estimate project duration. The results of the study indicate that project cost estimation is significantly influenced by three main factors, namely Budgeted Cost of Work Schedule (BCWS), Actual Cost of Work Performed (ACWP), and Budgeted Cost of Work Performed (BCWP). Meanwhile, the time performance factor does not have a significant effect on cost estimation. On the other hand, project time performance is influenced by the availability of labor, main equipment, funding, and implementation methods. The feasibility test of the model using Goodness of Fit indicators such as CMIN, RMSEA, TLI, NFI, and CFI shows that the model used meets the Absolute Fit Model criteria, so it can be concluded that the relationship between variables in this research model is valid and can be used to support decision making in construction project management.
Integrasi Data Pemeriksaan Geometri dan Estimasi Waktu–Biaya pada Perencanaan Pemeliharaan Jembatan Jalan Tol Layang MBZ Dian Dian; Mardiaman Mardiaman; Hikma Dewita
Jurnal Talenta Sipil Vol 9, No 2 (2026): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v9i2.1452

Abstract

Condition-based bridge maintenance requires the integration of information on the actual structural condition, implementation time, and costs to ensure effective and efficient infrastructure asset management. This study aims to analyze the integration of geometric inspection data with time and cost estimates in the maintenance planning of the Sheikh Mohammed Bin Zayed (MBZ) Elevated Toll Road Bridge. The study employed a qualitative approach with a case study design. Secondary data were obtained from the contractor, including geometric measurement results collected using a Robotic Total Station (RTS), dual-frequency geodetic GPS, and a digital level, as well as the Bill of Quantities (BoQ), project schedule, and other technical documents. Data were collected through document analysis and analyzed using the interactive model of Miles, Huberman, and Saldaña, consisting of data condensation, data display, and conclusion drawing and verification. The results show that geometric inspection data can be integrated with project schedule and budget information within a unified maintenance-planning information framework. The geometric inspection, data processing, and preparation of the maintenance plan were completed within 90 calendar days at a total cost of IDR 965,061,750. The integration of geometric, time, and cost data provides more structured planning information to support the implementation of condition-based maintenance. However, the integration remains at the planning-information level and does not yet establish a quantitative relationship between geometric changes and the type, volume, duration, and cost of physical repair works. This study strengthens the application of condition-based maintenance and integrated asset management and provides practical implications for toll road operators in improving planning accuracy and bridge maintenance efficiency.