Jurnal Teknik Indonesia

Analysis Cost Implementation Using Erection Method in Bridge Construction Malo District – Bojonegoro

David Himawan Susetya — 2026-04-13

The construction of the Malo Bridge in Bojonegoro Regency encountered significant challenges during the superstructure erection phase, primarily due to limited site accessibility and the use of a less suitable erection method. This study aims to evaluate the comparative efficiency of two primary erection techniques: the use of a 250-ton crawler crane operated from land and a combined method involving a 100-ton crawler crane supported by modular pontoons operating from the water. A case study approach with a quantitative methodology was applied, focusing on three main parameters: erection duration, construction cost, and risk management. The analysis indicates that the land-based 250-ton crawler crane method required a shorter erection period of 181 days, compared to 203 days for the modular pontoon method, resulting in a time-efficiency gain of 10.84%. Furthermore, the 250-ton crawler crane method demonstrated greater cost-effectiveness and a lower level of operational risk. These findings highlight that selecting an erection method that aligns with the site’s geographical and logistical conditions is crucial for optimizing construction performance. Appropriate method selection can lead to significant improvements in both time and cost efficiency, especially in complex or constrained environments.

Analysis of Performance and Level of Service of the Yos Sudarso Road Section in Baubau City Based on the Pedoman Kapasitas Jalan Indonesia (PKJI) 2023

Jamiludin Nasir — 2026-04-10

The Yos Sudarso Road section in Wolio District, Baubau City, is a major road with a strategic function, serving as the main connector between important centers such as the commercial area, Kamali Beach, and Murhum Port. The diverse land-use functions along this road generate high daily activity variations, which directly impact its traffic performance. Currently, Jalan Yos Sudarso is experiencing a decline in performance due to increased traffic volume and significant side friction from commercial activities. This research aims to analyze the traffic flow conditions and the Level of Service (LOS) of the road. The analysis method utilizes the Pedoman Kapasitas Jalan Indonesia (PKJI) 2023, based on primary data from surveys on road geometry, traffic volume, and side friction during peak hours. The traffic flow conditions reveal a very high level of side friction caused by on-street parking and vehicle maneuvers into/out of commercial establishments. This activity effectively reduces the road's effective width, consequently degrading its performance. During the peak hour (09:00–10:00), the number of side friction incidents reached 327 incidents per hour, with a concurrent traffic volume of 918.5 pcu/hour (passenger car units per hour). The analysis results show that the road section's actual capacity is 1,116.9 pcu/hour with a Degree of Saturation (DS) value of 0.82. This indicates congested flow conditions and a Level of Service (LOS) category D. This condition suggests that the road can still function, but it no longer provides an optimal level of service.

Analysis of Drainage Channel Construction Work Time Using the Trade Cost Trade Off (TCTO) Acceleration Method in Ponorogo Regency

Bela Prayogo — 2026-04-13

Drainage infrastructure development plays a crucial role in supporting urban environmental quality and preventing waterlogging and flooding. However, construction projects often experience delays that hinder infrastructure performance. In the drainage channel construction project on Letjend Suprapto Street and Menur Street, Ponorogo Regency, a progress deviation of ?30.26% occurred in the eighth week, indicating the need for an effective acceleration strategy. This study aims to analyze the effect of applying the Trade-Off Cost–Time (TCTO) method on project time acceleration and cost changes. This research employed a quantitative approach using network planning analysis with Microsoft Project to identify the critical path, followed by crashing analysis through additional work shifts and cost slope calculations using the TCTO method. The findings indicate that the project duration can be reduced from 65 days to 60 days by implementing a two-shift work system. This acceleration resulted in an increase in direct costs from IDR 2,390,347,251.56 to IDR 2,411,296,170.48. The TCTO method is proven effective in accelerating project duration with manageable additional costs, making it a viable solution for overcoming delays in drainage construction projects.

Analysis of the Water Balance of the Prumpung River Area (DAS) in Tuban Regency Using the Thornthwaite-Mather Method

Rony Zakariya — 2026-04-13

Water is a vital resource whose availability is increasingly uneven due to climate variability, land-use changes, and rising water demand. This condition leads to water surplus during the rainy season and deficit during the dry season, including in the Prumpung Watershed, Tuban Regency. This study aims to analyze the monthly and annual water balance and evaluate the relationship between water availability and water demand in the study area. A descriptive quantitative approach was employed using the Thornthwaite–Mather method, based on rainfall and air temperature data from 2015 to 2024, combined with domestic and non-domestic water demand data for 2024. The results indicate that potential evapotranspiration fluctuates in accordance with air temperature, while actual evapotranspiration is influenced by groundwater availability. Groundwater storage increases during the rainy season and decreases during the dry season. The annual water balance reveals a dominance of deficit conditions in most observation years, although surplus occurs during certain periods. The Prumpung Watershed is vulnerable to water deficits due to uneven rainfall distribution. Sustainable water resource management strategies, focusing on conservation, are required to maintain a long-term hydrological balance.

Enhanced Artificial Neural Network Model with Feature Importance Analysis for Drainage Infrastructure Cost Prediction in Data-Scarce Regions

Rahmat Rahmat — 2026-04-13

Accurate cost estimation of drainage infrastructure is a critical challenge in rapidly urbanizing regions, particularly in areas with limited historical project data. In Indonesia, inadequate estimation methods often lead to cost overruns and inefficient budget allocation, highlighting the need for more reliable predictive approaches. This study aims to develop and validate an Artificial Neural Network (ANN) for predicting drainage construction costs in data-scarce environments. A quantitative research design was employed using data from 10 drainage projects in South Buton Regency, which were expanded to 150 samples through rule-based data augmentation. The ANN model, based on a Multilayer Perceptron (MLP) architecture, was trained and validated using 5-fold cross-validation. Its performance was evaluated using R², MAE, RMSE, and MAPE, and compared with Multiple Linear Regression (MLR), Random Forest (RF), and Support Vector Regression (SVR) models. The results demonstrate that the proposed ANN model achieves superior predictive performance, with an R² of 0.9978 and MAPE of 3.04%, significantly outperforming the benchmark models. Feature importance analysis reveals that material-related costs, particularly stone masonry, are the most influential factors in determining total project cost. The model also shows strong generalizability and robustness across datasets. The findings imply that the integration of ANN, data augmentation, and feature importance analysis provides a practical and scalable solution for cost estimation in resource-constrained regions. This research contributes to improving decision-making in infrastructure planning, enhancing budget accuracy, and supporting more efficient and sustainable public investment strategies.