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Contact Name
Willy artha wirawan
Contact Email
willy@pengajar.ppi.ac.id
Phone
+6285735472739
Journal Mail Official
adminjrtt@ppi.ac.id
Editorial Address
Jl. Tirta Raya, Pojok, Nambangan Lor, Manguharjo Jl. Cemara Ds. Sangen 07/02 Geger
Location
Kota madiun,
Jawa timur
INDONESIA
Articles 40 Documents
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..
Innovation In Renewable Energy Systems: Utilization Of Piezoelectric Sensors On Railway Tracks To Harvest Vibration Energy PUTRA BUDIMAN, FIRJATULLAH AKBAR; Pandya, Bagas; Kusuma, Anung; Fadhilah, Hasna; Dewi, Puspita; Prasetiyo, Alfian Yuda; Nurhadi, Muhamad
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.57

Abstract

Green energy development prioritizes sustainable sources like solar, wind, biomass, and geothermal to combat climate change and resource depletion. In this context, piezoelectric technology offers a promising solution for energy harvesting from vibrations and mechanical stresses, such as those generated by vehicles or trains. This technology converts mechanical pressure into electrical energy via polarization changes within piezoelectric materials. This system has proven effective in powering electronic devices and signaling systems at railway level crossings, especially in remote areas lacking grid access. This study employs a descriptive method with a quantitative approach, utilizing experimental data. Data acquired from experiments conducted with the device positioned at a railway level crossing, observing passing trains and various motor vehicles including cars, trucks, and buses, indicated a generated power of 18,185 watts. With the series installation of ten such devices, a total power output of 165.44 Watts per day can be achieved, which is sufficient to meet the energy demands of the signaling system. The harvested energy powers signaling systems, lighting, and other electronic equipment at level crossings. Implementing this technology not only enhances sustainability through renewable energy use but also reduces reliance on external electricity supplies. Consequently, piezoelectric technology significantly improves operational efficiency and railway safety, particularly at level crossings.
Evaluating Effectiveness Of ETLE and Designing ATCS Integration For Traffic Violation Reduction In Magelang Regecy Hafidz Nurrohman; Zahwa Octavioliena; Rizal Aprianto
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.61

Abstract

Transportation as a means of public mobility in Indonesia continues to face high traffic accident rates, primarily due to violations such as speeding and red-light running. Electronic Traffic Law Enforcement (ETLE) has emerged as a technology-based law enforcement solution, but its effectiveness remains limited due to the narrow coverage of static systems. This study aims to analyze the effectiveness of ETLE and design its integration with the Area Traffic Control System (ATCS) to enhance traffic violation monitoring in Magelang Regency. The research method is census approach by collecting primary violation data from static and mobile ETLE units during March 2024–2025. Analysis results indicate a decline in violations from 17,495 cases (2020) to 4,739 cases (2023), yet the limited deployment of static ETLE at only one strategic point hinders optimal detection. Integration of ETLE-ATCS across 19 traffic light (APILL) points is proposed to expand coverage through real-time detection, automated verification, and traffic signal adjustments based on real-time data. Simulations of this integrated system demonstrate the potential for more transparent and efficient law enforcement, alongside reduced accident risks. Consequently, the proposed system integration is expected to foster safer, more orderly, and sustainable transportation in Magelang Regency.
Design and development of an Early Warning System For Railway Level Crossings with arrival detection and speed monitoring based on Arduino Uno and Inductive Proximity Sensor Darmawan, Arief; Trinil Muktiningrum
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.62

Abstract

Railway level crossings are critical safety points prone to accidents, necessitating a reliable Early Warning System (EWS) to protect road users. This study designs and evaluates an EWS integrating Arduino Uno and inductive proximity sensors to detect train arrivals and monitor train speed at a level crossing in Blitar Regency. Field experiments were conducted with sensors installed at an optimal maximum distance of 30 mm from the train wheel flange. Over a five-day period, the sensors achieved a wheel detection success rate of approximately 99.95%, while the speed counting system showed an accuracy of 87.22% compared to GPS tracking data. The 12.78% deviation in speed measurement falls within acceptable tolerance limits according to international standards on measurement uncertainty and railway electromagnetic compatibility. Performance decreased significantly beyond the 30 mm threshold, confirming the recommended installation distance. Compared to existing systems, this approach demonstrates improved modularity and algorithmic flexibility that enable future accuracy enhancements. Routine maintenance and regular calibration are essential to sustain system stability. Future work will focus on algorithm development for enhanced train speed calculation precision and expanded testing under
Accident Risk Analysis at Level Crossings Based on Physical and Operational Characteristics (Case Study: Crossing Points in Medan City Area): Application of the ALCAM Model in Medan City Hamdani, Aldi BJ; Amrozi, Mukhammad Rizka Fahmi
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.71

Abstract

Level crossings are critical safety points in railway operations due to the interaction between trains and road traffic. In Indonesia, many crossings in urban areas such as Medan operate with limited safety infrastructure, increasing the likelihood of serious accidents. This study aims to evaluate accident risks and propose mitigation strategies for selected level crossings in Medan. A quantitative risk assessment was conducted using the Australian Level Crossing Assessment Model (ALCAM), which considers infrastructure, exposure, and consequence factors. Data were collected through field observations, interviews with crossing attendants, and secondary records from local transport authorities. Three locations were analyzed: KM 9+30 on the Medan–Binjai line, and JPL 1 (KM 0+640) and JPL 4 (KM 1+325) on the Medan–Tanjung Balai line. The ungated crossing at KM 9+30 had a risk score of 0.053, JPL 1 the highest at 0.136, and JPL 4 at 0.076. Simulated mitigation strategies substantially reduced risks to 0.020, 0.051, and 0.038, respectively. These findings demonstrate that ALCAM provides a reliable framework for quantifying risks and prioritizing safety improvements at level crossings in Indonesia.
Road Attributes and Traffic Characteristics Effects on Motorcycle Safety Arumdyah Widiati; I Made Sukmayasa; Dimas Adi Perwira; Azmi, Azwan Ezzany; Amrozi, Mukhammad Rizka Fahmi
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.77

Abstract

In Indonesia, motorcycles dominate the transport landscape, with over 125 million registered motorcycles as of 2025. The country faces a significant road safety challenge, recording over 31,000 road traffic deaths annually, with motorcycles involved in many fatal crashes. Infrastructure-based interventions have shown promise in mitigating these risks. However, the implementation remains uneven, and effectiveness varies by region. Therefore, a systematic assessment of the influence of road conditions on motorcycle safety and evaluating the impact of infrastructure-based countermeasures in reducing crash risk and injury severity is needed. This study aims to systematically assess the road safety risk for motorcyclists in campus areas, with a specific focus on the role of local road attributes and traffic characteristics to propose suitable infrastructure-based countermeasures in reducing crash risk and injury severity. The method used is a road assessment tool developed by the International Road Assessment Programme (iRAP). The results show that The road attributes that play the most crucial role in determining the SRS value for a motorcycle on a road segment in the UGM campus area are those that contribute to accident likelihood: curvature, median transversability, and operating speed. Although previous research has shown operating speed to be a mediating variable rather than a direct factor in accident occurrence, it is essential to consider the factors that contribute to accidents. For intersections, the road attributes that significantly determine the level of safety are those that influence the likelihood and severity. The road attributes that influence likelihood are curvature, intersection quality, channelization, and property access points. The road attributes that influence severity are roadside severity – distance, paved shoulder width, and property access points.

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