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U Karst
Published by Universitas Kadiri
ISSN : 25794620     EISSN : 25810855     DOI : http://dx.doi.org/10.30737/ukarst
Core Subject : Engineering,
Civil Engineering, Building, Construction & Architecture
U KaRsT is a journal of the civil engineering research the University of Kadiri published twice a year in April and November. First published in April 2017. U KaRsT already has both ISSN printed and online, for ISSN (Print) is 2579-4620, and ISSN (Online) is 2581-0855.
Arjuna Subject : -
Articles 264 Documents
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Satisfaction and Determinants of the Decision to Switch from Private Vehicles to Commuter Trains in Merak–Rangkasbitung Mahendra, Muhammad Oka; Djuneydi, Muhammad
UKaRsT Vol. 9 No. 1 (2025): APRIL
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v9i1.6629

Abstract

Urban population growth has had an impact on traffic congestion. Although public infrastructure is available, public preference for private vehicles remains high. This occurs on the Merak-Rangkasbitung route which is served by the train. The gap between service availability and user preferences indicates the need to study mode selection behavior and the factors that influence it. This study aims to analyze motorcycle and car users' tendency to shift their transportation modes from private vehicles to the train service on the Merak- rangkasbitung route. A quantitative approach was carried out using a questionnaire survey method on 300 respondents using a dual-stratum sampling technique. The analysis used the Importance Performance Analysis (IPA), Customer Satisfaction Index (CSI), and Chi-Square test. The IPA results showed a service suitability value of 86.57%, while CSI showed a satisfaction level of 72.86% (satisfied category). The Chi-Square test results identified that the factors influencing the transportation mode choice differed between segments. For motorcycle users, it was influenced by age, car ownership, and reason for travel, while car users were influenced by occupation, travel costs, reasons and purposes of travel. These findings emphasize the importance of a policy approach based on user segmentation and strengthening integration between modes to improve the effectiveness of train services. With an adaptive service strategy and targeted incentive policies, the transformation towards sustainable urban mobility can be realized.
Enhancement of Flexural Behavior Using Minimal Reinforced Concrete and Steel Slag as Fine Aggregate Replacement Sofianto, Mochamad Firmansyah; Wulandari, Meity; Nugroho, Yanuar Bayu; Heryanto, Muhammad Titho
UKaRsT Vol. 9 No. 2 (2025): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v9i2.6865

Abstract

The ductility capacity of structural elements is influenced not only by the reinforcement steel but also by the quality of the concrete material. Recent mix designs increasingly consider the incorporation of industrial by-products such as steel slag. Therefore, steel slag waste can be utilized as an alternative material in the reinforced concrete, especially for simple beam elements. This study aims to determine the effectiveness of steel slag as a fine aggregate replacement for beams as simple structural elements. The replacement ratios of steel slag were 1%, 3%, 5%, and 7% by weight of fine aggregates. The specimens included cylindrical samples for compressive strength testing and rectangular beam with 100 cm in span, for flexural testing. Beam elements conducted with two points of loading and recorded the deflection in middle and draw the crack pattern on beam element. The results revealed that the highest compressive strength, 33.24 MPa, was achieved with a 7% steel slag substitution. A higher proportion of steel slag affected the deflection behavior and internal force capacity. Initial cracking occurred at an external load of approximately 800 kg, while reinforcement yielding was observed at around 2500 kg, leading to ultimate failure. The maximum deflection of 9.25 mm was recorded for the 7% mixture, which also demonstrated the highest moment capacity. Overall, the findings confirm that partial substitution of sand with steel slag significantly enhances the flexural performance of concrete beams, thus providing a sustainable material solution.
Modeling Factors Influencing Passenger Decisions on Intercity and Regional Railway Train Leinia, Audinda Virsa; Sidhiq, Sham
UKaRsT Vol. 9 No. 2 (2025): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v9i2.6960

Abstract

The dependence on private vehicles has grown significantly in the past decade, impacting travel experience quality. Transportation companies need to focus on enhancing the loyalty through exploring choice behavior. Existing research often focuses on typical service attributes, but the comparative impact with more complex variables factors remains underexplored. This study aims to identify factors influencing intercity and regional rail passenger travel decisions. This research explores sociodemographics, travel behavior, and factors affecting their mode of choice. Survey data using questionnaires were collected from 649 respondents across four intercity and five regional rail services. Logistic regression models were developed with variable selection validated using the Wald significance test and model evaluation conducted. The results indicate that intercity rail travel choices are significantly influenced by disposable income, trip purpose, and onboard comfort attributes such as air conditioning and cleanliness. In contrast, regional train choice is largely driven by factors such as occupancy rate, frequency of use, travel time reduction, and cost sensitivity. These findings confirm that intercity and regional passengers represent distinct market segments shaped by different behavioral priorities. The resulting models demonstrated strong performance, with the intercity model explaining 76.8% of the variance in choice and achieving a predictive accuracy of 82.1%, while the regional model explained 58.9% of the variance with an accuracy of 63.8%. The findings suggest that fare adjustment strategies and service development focused on air conditioning, cleanliness, and travel time can enhance ridership for both train types, thereby enhancing the overall attractiveness of the public transportation system.
Integrated of Pore Water Pressure, Hydraulic Gradient and Time Lag for Early Warning System at Sindang Heula Dam Patra, Fadel Muhammad; Suharyanto; Sukamta
UKaRsT Vol. 9 No. 2 (2025): NOVEMBER
Publisher : Kadiri University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30737/ukarst.v9i2.7076

Abstract

Excessive pore water pressure (PWP) is a primary factor contributing to internal erosion and catastrophic failures in embankment dams, accounting for nearly 40% of dam-related incidents worldwide. Despite routine monitoring, current practices remain limited by the absence of integrated analytical frameworks that simultaneously evaluate multiple hydraulic parameters for early warning system. This study aims to design an early warning system based on PWP, hydraulic gradient, and time lag parameters. The research was conducted at Sindang Heula Dam with 1,696 daily observation data (2020–2025) from four upstream and four downstream piezometers. Linear regression analysis was employed to predict PWP at low (86.613 masl), normal (106.613 masl), and maximum (108.613 masl) reservoir water level (RWL) conditions. Hydraulic gradients were derived from upstream–downstream head differentials, while time lags were determined based on the delay between peak reservoir levels and corresponding piezometric responses. The results revealed that upstream piezometers exhibited rapid responses (7–14 days) with strong correlations RWL (R² = 0.71–0.81), while downstream piezometers show delayed responses (35–42 days) with weaker correlation RWL (R² = 0.31–0.44). Hydraulic gradients increased from 0.32 at low to 0.63 at maximum RWL, indicating intensified seepage potential. The proposed integrated framework introduces a three-tier (green–yellow–red) early warning system based on real-time RWL thresholds, thereby improving proactive risk mitigation and strengthening dam safety management.

Page 27 of 27 | Total Record : 264

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