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INDONESIA
Journal of Railway Transportation and Technology
Published by Politeknik Perkeretaapian Indonesia Madiun
ISSN : 28300491     EISSN : 28306880     DOI : https://doi.org/10.37367/jrtt.v1i1
Core Subject : Economy, Science, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation
The journal publishes original papers that cover but are not limited to, the following topics, Rolling Stock, Infrastructure, Energy and Environment, Signaling and communication, Operations, Strategies and Economics.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 35 Documents
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ANALYZING THE USE OF B35 BIODIESEL ON THE DISTANCE AND FUEL FILTERS LIFETIMES FOR LOCOMOTIVES CC201 AND CC203 Atmaja, Dadang Sanjaya; Damayanti, Ajeng Tyas; Utomo, Ilham Satrio; Prasetya, Henry Widya; Firjatullah, Aisha Aristawidya
Journal of Railway Transportation and Technology Vol. 4 No. 1 (2025): March
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i1.46

Abstract

Blends of biodiesel, like B35, are becoming more and more popular as the demand for cleaner energy sources grows. There are a number of difficulties with using biodiesel, particularly with respect to diesel engine fuel filtration systems. The purpose of this study is to determine the fuel filter's level of contamination at particular mileage intervals, assess how well the filter works with biodiesel blends, and calculate the fuel filter's lifespan when using B35 biodiesel. The authors have conducted an experimental study involving a testing apparatus to measure the flow rate at the filter. Real-time data on fuel flow rate and filter cloggi ng rate will be collected and analyzed to determine the impact of filter efficiency on fuel changes. The experimental data will be compared and contrasted to draw meaningful conclusions about the correlation between filter clogging and fuel flow rate. The data shows that the CC201 filter experiences less contamination compared to the CC203 filter. These results suggest that the CC201 maintains better performance at the distances tested. Filter quality was estimated based on the remaining flow rate capacity, showing a direct correlation between mileage and filter deterioration. Firstly, it was found that the level of contamination experienced by the CC201 fuel filter was superior to that of the CC203 filter. Secondly, the relationship between fuel filter life and locomotive mileage is illustrated by a scatter plot graph showing a decreasing trend line. Thirdly, from the use of B35 fuel, the performance of the fuel filter decreased at a percentage of 10% and 13% on each locomotive.
Railway Detection Of Axle Detection Patterns Using The KNN Method Winjaya, Fathurrozi; Feryando, Dara Aulia; Al Ghifari, Sultan Rasya Nair; Fajri, Saian Nur
Journal of Railway Transportation and Technology Vol. 4 No. 1 (2025): March
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i1.47

Abstract

The track circuit is a device used to determine whether a vehicle is on the track. This device is installed on the track and needs to be monitored to ensure it functions properly. All objects detected in practice are considered railway vehicles, even though the detected objects may not be railway vehicles. Accurate and reliable detection technology is crucial for preventing accidents and keeping train traffic safe. This detection system uses metal sensors to identify objects as railway or non-railway assets. This is done based on two variables: the frequency of the object's metal and the object's speed. The test results show that this tool can classify objects according to their class. The class with no objects has an accuracy level of 100%, while the class of non-railway has an accuracy level of 86.67%. The railway class trials using the inspection train axle show an accuracy level of 93.33%.
Railway safety research: Mapping trends, strategic clusters, and future pathways Fuqaha, Sameh
Journal of Railway Transportation and Technology Vol. 4 No. 1 (2025): March
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i1.55

Abstract

This study presents a comprehensive bibliometric analysis of railway safety research from 2019 to 2024, offering critical insights into the thematic evolution, intellectual structure, and future pathways in this vital domain. By analyzing 445 peer-reviewed articles retrieved from leading academic databases, the study identifies major research clusters centered around risk assessment, human factors, and AI-enabled infrastructure monitoring. The findings reveal a significant shift toward intelligent safety systems, with deep learning, predictive maintenance, and human reliability modeling emerging as dominant themes. China, the United Kingdom, and India are identified as leading contributors, with strong international collaboration driving innovation in the field. Despite notable progress, the analysis uncovers persistent gaps—particularly in cybersecurity resilience, cognitive integration in risk assessment, infrastructure adaptation to climate risks, and localization technologies for autonomous train systems. Future research directions are proposed to address these gaps, including multi-sensor fusion for train positioning, AI-based decision-making frameworks for autonomous operations, and integration of human factors into machine learning-based safety evaluations.
Analysis of the Effectiveness of Silicon Carbide Usage in the Jakarta Metro Traction System Using Matlab Wijaya, Mohamad Angger Pamungkas; Irianto, Chairul Gagarin; Arifianto, Teguh
Journal of Railway Transportation and Technology Vol. 4 No. 1 (2025): March
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i1.59

Abstract

Switching inverter technology for converting DC to AC using Insulated Gate Bipolar Transistors (IGBTs) has been implemented in the propulsion system of the Jakarta Metro. However, with advancements in power electronics, a newer technology—Silicon Carbide (SiC)—has emerged, offering the potential to reduce switching power losses by up to 30%. The effectiveness of this technology can be evaluated through simulations using MATLAB Simulink, enabling an assessment of its potential application in the Jakarta Metro system. By quantifying this efficiency gain, informed strategic decisions can be made regarding the adoption of SiC technology for DC to AC conversion, whether through the replacement of existing IGBT-based inverters or during the procurement of rolling stock for future phases. The evaluation will be conducted by simulating both existing IGBT parameters and proposed SiC device parameters under current traction motor operating conditions. This simulation aims to determine the output power required to drive the traction motor while maintaining alignment with the current train configuration. A comparative analysis of efficiency between the two technologies will form the basis of this thesis, providing insights into the feasibility and benefits of transitioning to SiC-based inverters for the Jakarta Metro.
Structural Modeling and Analysis of Flat Wagon Underframe Based on Finite Element Method Utomo, Ilham Satrio; Marsusiadi, Edi Nyoto; Wibowo, Sulis Tri
Journal of Railway Transportation and Technology Vol. 4 No. 1 (2025): March
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i1.60

Abstract

This research analyzes the structural strength of the 50-foot Flat Wagon underframe using the finite element method. Modeling was done in Autodesk Inventor and load simulation using ANSYS Workbench with a mesh size of 25 mm. The analysis refers to the UIC 571-4 and EN 12663 standards. The results showed that the maximum stress of 347.56 MPa and maximum deformation of 15.305 mm occurred under combined loading. This value is still below the yield strength of the material (355 MPa), but exceeds 75% of the allowable stress according to KM No. 43 Year 2010 (266.25 MPa). The highest safety factor is 1.82 (compression loading), the lowest is 0.76 (combination loading). This simulation shows the need for design optimization to meet national safety standards..

Page 4 of 4 | Total Record : 35

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