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INDONESIA
Jurnal Penelitian Sekolah Tinggi Transportasi Darat
Published by Politeknik Transportasi Darat Indonesia STTD
ISSN : 20866569     EISSN : 2776351X     DOI : -
Core Subject : Engineering,
Automotive Engineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering
Jurnal Penelitian Sekolah Tinggi Transportasi Darat adalah jurnal Ilmiah yang diterbitkan dua kali setahun (Juni dan Desember) oleh Politeknik Transportasi Darat Indonesia- STTD. Artikel yang dimuat di jurnal ini merupakan artikel dengan topik penelitian dan kajian Transportasi Darat. Selain Sebagai wadah Komunikasi Ilmiah Penerbitan jurnal ini bertujuan untuk menyebar luaskan hasil hasil penelitian yang berkaitan dengan bidang ilmu transportasi dan sumber daya manusia di bidang transportasi darat serta pengembangan Politeknik Transportasi Darat Indonesia- STTD. Jurnal Penelitian Sekolah Tinggi Transportasi Darat telah terdaftar pada International Standard Serial Number (ISSN: 2086-6569 & e-ISSN: 2776-351X)
Arjuna Subject : Teknik (semua kategori) - Teknik Otomotif
Articles 186 Documents
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Design And Construction Of A Thermoelectric Generator-Based Power System Utilizing Exhaust Manifold Heat And Fuel Flow As Cooling Medium Yogie Wijaya; Setya Wijayanta; Femmy Sofie Schouten
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 17 No 1 (2026): Juni 2026
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v17i1.782

Abstract

Internal combustion engines dissipate approximately 50 percent of the energy produced through the exhaust system, representing a significant source of untapped thermal energy. This study presents the design, construction, and experimental evaluation of a Thermoelectric Generator (TEG) based power generation system that simultaneously harnesses heat from the exhaust manifold of a four stroke gasoline motorcycle engine and utilizes circulating fuel flow as the cooling medium on the cold side of the TEG modules. Ten SP1848 TEG modules were integrated onto a custom fabricated exhaust manifold and connected in series and parallel configurations. Three fuel flow rates were investigated, namely 0.59, 0.78, and 1.44 L/min, controlled by a DC pump regulated through an adjustable potentiometer. Temperature data from both sides of each module were acquired using ten Type K thermocouples interfaced with an ESP32 microcontroller. Electrical output was measured using a calibrated watt meter with a fixed 10 ohm resistive load. Results demonstrate that the series configuration achieves superior power output, with a peak of 1.03 W at a fuel flow rate of 1.44 L/min and a maximum hot side temperature of 98.10 C. The parallel configuration, conversely, generates higher power at the lowest flow rate of 0.59 L/min with an output of 0.61 W, driven by an increased temperature difference. A positive linear relationship (R2 = 0.80) between temperature difference and output power is confirmed for the series circuit. These findings demonstrate that dual utilization of exhaust heat and fuel cooled heat exchange represents an effective and practical strategy for auxiliary power generation in conventional vehicles, offering significant implications for energy efficiency and waste heat recovery technology.
Human Resource Development Strategy And Multimodal Transportation Performance: The Mediating Role Of Digital Competence In Ferry Transportation Services Surnata Surnata; Eko Nugroho Widjatmoko; Rispa Saeful Mu’tamar; Febriansyah
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 17 No 1 (2026): Juni 2026
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v17i1.802

Abstract

This study examines the effect of Human Resource Development (HRD) strategies on multimodal transportation performance in the Tanjung Api-Api ferry transportation sector, with employees’ digital competence acting as a mediating variable. The study contributes to the literature by proposing and empirically validating an integrated model linking HRD strategy, digital competence, and multimodal transportation performance in the ferry transportation sector, a context that has received limited empirical investigation. A quantitative approach with an explanatory research design was employed using the Structural Equation Modeling–Partial Least Squares (SEM-PLS) method. Data were collected from 185 operational employees and multimodal transportation service personnel. The findings reveal that HRD strategies positively and significantly influence both employees’ digital competence and multimodal transportation performance. Employees’ digital competence also significantly enhances service efficiency, operational productivity, service quality, and intermodal coordination. Furthermore, digital competence significantly mediates the relationship between HRD strategies and transportation performance. The coefficient of determination (R²) value of 0.742 indicates that the model has strong predictive power. These findings extend existing knowledge by demonstrating the critical role of digital competence as a mechanism through which HRD strategies improve transportation performance. Practically, the results provide guidance for transportation operators and policymakers in designing digital competency-based HRD programs to support the effectiveness, efficiency, and sustainability of multimodal transportation systems in the era of digital transformation.
Determinants Of Traffic Accident Occurrence Based On Road User Perceptions On The Rantepao-Pasar Bolu Corridor Memed Timang Palembangan; Yulius Pakiding
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 16 No 2 (2025): December 2025
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v16i2.844

Abstract

Traffic accidents remain a major challenge to transportation safety despite continuous improvements in road infrastructure. This study examined the determinants of traffic accident experience based on road users' perceptions of road safety along the Rantepao-Pasar Bolu corridor, North Toraja Regency, Indonesia. A quantitative survey was conducted with 60 respondents selected through accidental sampling. The study evaluated four perception variables: road surface condition, traffic signs and pavement markings, street lighting, and road user compliance. The questionnaire demonstrated acceptable validity (corrected item-total correlation = 0.49 - 0.66) and reliability (Cronbach's Alpha = 0.75). Data were analysed using descriptive statistics and binary logistic regression, while model performance was assessed using Nagelkerke R^2 and Receiver Operating Characteristic (ROC) analysis. The results showed that road surface condition received the highest mean score (4.15), whereas street lighting received the lowest (2.60). Street lighting was the only variable significantly associated with traffic accident experience (B = -1.353, p = 0.027, {Exp}(B) = 0.258$), indicating that improved lighting reduced the likelihood of experiencing a traffic accident. The model explained 15.6% of the variation in accident experience (Nagelkerke R^2 = 0.156) and achieved acceptable discrimination ({AUC} = 0.714). These findings highlight the importance of improving street lighting to enhance road safety. Future research should include larger samples and additional explanatory variables to improve model performance.
Analysis Of Vehicle Co Emission Quality Control Using Statistical Process Control Nofitasari Damayanti; Fajar Budi Sulistiono; Arief Apriyanto
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 17 No 1 (2026): Juni 2026
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v17i1.789

Abstract

These motor vehicle emissions are a major source of urban air pollution, contributing to the decline in environmental health. Vehicle emission testing (CO and HC parameters) is commonly used to assess emission eligibility, but these evaluations are often ‘pass or fail’ and do not utilize historical data to control the stability of the emission process over time. This study aims to analyze the stability of the carbon monoxide emission process in motor vehicles using the Statistical Process Control approach as a process control tool. The data used are the results of motor vehicle emission tests in the Tangerang area,including the date and time of testing, carbon monoxide levels, test operators, vehicle types, vehicle age, and fuel types. The analytical approach in this study uses an Individual Moving Range control chart to assess process stability and identify the presence of special cause variations. The results  indicate that the carbon monoxide emission process is not yet in a statistically controlled condition, the results showed that 43 observations exceeded the upper control limit, with 88% out of control points associated with one operator. Abnormal variations that occur are not only caused by vehicle conditions,but are also influenced by operator factors, testing methods, and measurement systems. The results of this study indicate that Statistical Process Control can be used as a tool for controlling vehicle emission quality and not only as a tool for inspecting whether the emission test passes or fails.  
Implementation Of An Over-Dimension Estimation Device For Detecting Oversized Freight Vehicles On The Gilimanuk–Mengwi Route Adrian Pradana; Riz Rifai Oktevianus Rifai; Surya Aji Ermanto
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 17 No 1 (2026): Juni 2026
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v17i1.783

Abstract

The main background of this study is the crucial role of the Gilimanuk – Mengwi corridor as a vital logistics route that distributes more than 70% of Bali's essential goods, where the increasing volume of freight vehicles has triggered overdimensional (OD) issues that negatively impact traffic safety and infrastructure conditions. To address this challenge, lecturers and students of the Bali Land Transportation Polytechnic developed a real-time–based Over Dimension Estimator device to detect vehicle dimension violations quickly and accurately. This study employs a descriptive statistical method. The research was conducted by collecting sample data from freight vehicles passing through the Gilimanuk – Mengwi corridor over a two-month period. The analysis results show that the total proportion of vehicles detected as overdimensional reached 38.12% of the overall sample. The weekly distribution of OD percentages varies between 35% and 45%, indicating that nearly half of the sampled vehicle population potentially violated dimensional limits. These findings provide a basis for relevant authorities to enhance vehicle dimension monitoring and to enforce FOH and ROH regulations more consistently. Keywords: Transportation, Safety, Freight vehicles, Over dimension
Performance Evaluation Of Yolov8 For Vision Based Multi Class Rail Surface Damage Detection Teguh Arifianto; Sunaryo Sunaryo; M. Afif Amalul Arifidin; Muhammad Ryan Muqarrabiiansyah; Galih Prasetyo; Erri Wahyu Puspitarini
Jurnal Penelitian Sekolah Tinggi Transportasi Darat Vol 17 No 1 (2026): Juni 2026
Publisher : Politeknik Transportasi Darat Indonesia - STTD Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55511/jpsttd.v17i1.857

Abstract

Rail surface damage such as cracks, spalling, and squats must be identified accurately because these defects have distinct visual characteristics that can influence the rail inspection process. However, the simultaneous detection of multiple damage types remains a challenge, especially when the data distribution across classes is imbalanced. This study aims to evaluate YOLOv8 for detecting cracks, spalling, and squats using the Railway Track Surface Faults Dataset. A total of 2,175 images were analyzed and divided into training, validation, and testing sets with proportions of 70%, 15%, and 15%, respectively. Model performance was evaluated using precision, recall, F1-score, mean Average Precision (mAP), and the confusion matrix. The results show that YOLOv8 achieved precision values of 0.89, 0.96, and 0.91 for cracks, spalling, and squats, respectively. The recall values were 0.85, 0.92, and 0.96, respectively, while the F1-scores were 0.87, 0.94, and 0.94. The mAP values reached 0.90, 0.95, and 0.98. Overall, the model achieved a precision of 92.00%, a recall of 91.00%, an F1-score of 91.67%, and an mAP of 94.33%. These results indicate the potential of YOLOv8 to support the automatic detection and localization of rail surface damage.

Page 19 of 19 | Total Record : 186

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