cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Veri Hardinansyah Dja'far
Contact Email
admin@transpublika.co.id
Phone
+6281234560500
Journal Mail Official
admin@transpublika.co.id
Editorial Address
Bumi Royal Park Blok A-14 Bumiayu, Kedungkandang, Malang, East Java, Indonesia
Location
Kota malang,
Jawa timur
INDONESIA
International Journal on Advanced Technology, Engineering, and Information System (IJATEIS)
Published by Transpublika Publisher
ISSN : -     EISSN : 28285425     DOI : https://doi.org/10.55047/ijateis
Core Subject : Engineering,
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Industrial & Manufacturing Engineering
International Journal on Advanced Technology, Engineering, and Information System (IJATEIS) is an international peer-reviewed journal dedicated to interchange for the results of high-quality research in all aspect of technology, science, engineering and information system. The journal publishes state-of-art papers in fundamental theory, experiments and simulation, as well as applications, with a systematic proposed method, sufficient review on previous works, expanded discussion and concise conclusion. Scope: The journal scopes include (but not limited to) the followings: Science: Bioscience & Biotechnology, Agriculture, Chemistry & Food Technology, Environmental, Health Science, Mathematics & Statistics, Applied Physics. Engineering: Architecture, Chemical & Process, Civil & structural, Electrical, Electronic & Systems, Geological & Mining Engineering, Mechanical & Materials. Information Science, Artificial Intelligence, Computer Science, E-Learning & Education Learning, Multimedia, Knowledge Technology, Information System, Internet & Mobile Computing, Machine Learning.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 164 Documents
 13   14   15   16   17 
Analysis of Human, Environmental, and Vehicle Factors Affecting Traffic Accident Severity in Jurisdiction of Metro Jaya Police Aditya Veda
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 4 No. 4 (2025): NOVEMBER
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v4i4.2207

Abstract

The jurisdiction of the Jakarta Metropolitan Police (Polda Metro Jaya) is one of the areas experiencing traffic accident problems. Traffic accidents in the Jakarta Metropolitan Police jurisdiction can involve two-wheeled vehicles, four-wheeled vehicles, trucks, and even pedestrians. Accidents can be assessed based on the severity of the accident, usually classified as mild, moderate, and severe. Accident severity in this study focuses on human, environmental, and vehicle factors. This study aims to determine the most important sub-factors that increase the severity of traffic accidents in the Jakarta Metropolitan Police jurisdiction. The theories used in this study are transportation theory and human error theory. This study uses accident data in the form of the Integrated Road Safety Management System (IRSMS) from the Police, which is tested using Structural Equation Modeling (SEM), and validated using questionnaire data collected through a Google Form survey analyzed using partial least squares (PLS). The results of the IRSMS data analysis indicate that attention and drowsiness are strong predictors of increased severity. The results of the survey analysis indicate that drowsiness and vehicle age are significant predictors of severity. The validation results of the Integrated Road Safety Management System (IRSMS) data analysis and questionnaire provide a comprehensive picture of the complexity of the causes of the severity of accidents that can be experienced.
Factors Influencing Traffic Accidents on the Cipularang Toll Road: An Analysis Using Multiple Linear Regression Dedi Kurniawan; Sutanto Soehodho; R. Jachrizal Sumabrata
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 2 (2026): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i2.2235

Abstract

Traffic accidents remain a critical issue in road safety, particularly on toll roads with high traffic intensity such as the Cipularang Toll Road. This study aims to analyze the factors influencing traffic accidents by applying a multiple linear regression approach, with a focus on human-related factors represented by driver physical condition. Data spanning 2023–2025 from the Cipularang Toll Road corridor were collected through structured interview surveys and supported by secondary data from official accident records. The variables examined include driver characteristics, vehicle conditions, traffic and environmental factors, and behavioral aspects. The results show that estimated speed and driving license type have a statistically significant effect on the dependent variable at the 5% significance level. Estimated speed is identified as the most influential factor, indicating that higher speeds are associated with a decline in driver physical condition, which may increase accident risk. The selection of physical condition as the dependent variable is supported by police reports indicating that a substantial number of accidents are caused by driver fatigue, drowsiness, and reduced alertness, especially on long-distance toll roads. Other variables, although not statistically significant, demonstrate relationships consistent with theoretical expectations. These findings highlight the importance of addressing both speed management and driver fatigue in reducing accident risk. The study contributes to evidence-based road safety strategies by providing a comprehensive analysis of accident-related factors, helping policymakers and toll road operators design more effective safety interventions, especially on high-risk segments like the Cipularang Toll Road.
Traffic Management Analysis and Mitigation of Counter-Flow Violations Using Traffic Conflict Techniques in Alam Sutera, Tangerang Reza Doris Perdana; Sutanto Soehodho; Martha Leni Siregar
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 2 (2026): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i2.2236

Abstract

Wrong-Way Driving (WWD) by motorcycle riders is a critical safety issue in urban Indonesia, with the Alam Sutera area, Tangerang, recording 1,126 violators in a single peak‑hour observation. This study formulates an integrated traffic management and mitigation strategy for the phenomenon of Wrong-Way Driving (WWD) in the Alam Sutera area. The primary issue is driven by the inefficiency of the legal route (1,800 m) compared to the WWD route (270.1 m), which creates a justification for speculative behavior. Proactive safety analysis using the Swedish Traffic Conflict Technique (TCT) identified an extreme fatality risk with an average Time-to-Accident (TA) value of 0.7 seconds, with 80% of interactions categorized as serious conflicts. Questionnaire analysis based on the Theory of Planned Behavior (TPB) confirmed a critical detour distance threshold at >1,000 m, which serves as a trigger point for driving violations. Evaluation through VISSIM microsimulation (validated with GEH value <  5 and MAPE value < 50% ) shows that Scenario 3 is the most optimal mitigation. By implementing a 1.20 km alternative route via the roundabout, installing permanent physical barriers, and optimizing the traffic signal cycle time from 143 seconds to 90 seconds, the traffic volume load at the conflict point was significantly redistributed. This strategy effectively enhancing operational performance by reducing average delay to 20.34 seconds/vehicle at Level of Service (LOS) C.
Understanding Traffic Accident Patterns on the Jakarta-Cikampek Toll Road: An Integrated Approach Combining Blackspot Analysis and Human Factors Relif Karnadi; Sutanto Soehodho; R. Jachrizal Sumabrata
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 3 (2026): AUGUST
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i3.2237

Abstract

Traffic accidents on toll roads remain a major safety concern, particularly on high-traffic corridors such as the Jakarta-Cikampek Toll Road in Indonesia. This study aims to identify accident-prone locations (blackspots) and analyze contributing factors, with a focus on human-related aspects such as fatigue and rest adequacy. An integrated approach combining spatial analysis and multiple linear regression was employed to better understand accident patterns and their determinants. The study utilizes historical accident data from the Indonesian National Police Traffic Corps and toll road operators for the period 2021-2023, complemented by interview-based behavioral data. Blackspots were identified using a severity-based weighting method, while regression analysis examined the relationship between rest adequacy and variables such as gender, driving experience, travel characteristics, fatigue indicators, sleep duration, and risk perception. The results indicate that no variables are statistically significant at the 5 percent level. However, gender shows the strongest relationship with rest adequacy (β = -0.313; Sig. = 0.060), while sleep duration (β = 0.156) and risk perception (β = 0.102) exhibit positive tendencies. Fatigue indicators show mixed results, suggesting that fatigue is a complex and multidimensional factor. Spatial analysis also reveals several high-risk segments associated with traffic density and road conditions. These findings highlight the need for integrated safety strategies that address both location-based risks and human factors. The study contributes to evidence-based approaches for improving toll road safety.
Spatial Analysis of Factors Affecting Traffic Accident Frequency in Jakarta Using a Geographically Weighted Regression Approach Gamas Gagah Pangestu; Sutanto Soehodo; Martha Leni Siregar
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 3 (2026): AUGUST
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i3.2240

Abstract

Traffic accidents are a complex issue influenced by road network characteristics, demographics, land use, and traffic conditions. This study analyzes the effects of these factors on accident frequency in DKI Jakarta and examines their spatial variation at the sub-district level. Using secondary data on accidents, road networks, population, land use, traffic, and regional activity, analysis was conducted using global regression (Ordinary Least Squares/OLS) and spatial regression (Geographically Weighted Regression/GWR), considering variations by severity, time period, and lighting. Results show that all factor groups significantly influence accident frequency, with effect magnitudes varying across areas. The GWR model captures local variations better than OLS, reflected by higher R² values in most conditions, while OLS remains effective for explaining global patterns. Findings indicate accident variations are more influenced by differences in the strength of factor effects across regions rather than the types of factors themselves, and are also affected by traffic operational conditions. This confirms that traffic accident characteristics are inherently spatial and contextual. The study highlights the importance of area-specific transportation safety planning, with tailored policy approaches to enhance intervention effectiveness in reducing urban accident rates.
Analysis of the Causes and Impacts of Traffic Congestion (Case Study of Jl. MH Thamrin, Sentul) Muhammad Hibban Yanhasdin; Sutanto Soehodho; Nahry Nahry
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 3 (2026): AUGUST
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i3.2253

Abstract

Traffic congestion is a complex problem that has wide-ranging impacts on various aspects of community life, particularly in rapidly urbanizing suburban areas such as Sentul, a satellite city located in the Bogor Regency of West Java, Indonesia. This study aims to identify the main causes of congestion and analyze its impacts on social, economic, and environmental aspects. The research focuses on MH Thamrin Street in Sentul, a strategic corridor with high traffic intensity. A mixed-methods approach was used, incorporating field observations, questionnaire surveys, and in-depth interviews. The research findings indicate that the primary causes of congestion at the site include high vehicle volume, ineffective traffic management, roadside obstacles, and undisciplined road user behavior. The resulting impacts include increased travel time, fuel waste, commuter stress, and reduced local economic productivity. As such, these findings are expected to inform the formulation of more responsive and sustainable urban transport policies in similar areas.
Analysis of Passenger Transport Mode Choice Between Bus and Airplane to Improve Service (Case Study: Palembang-Jakarta Route) Renita Vira Maulidina; Sutanto Soehodho; Nahry Nahry
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 2 (2026): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i2.2188

Abstract

The development of public transport in Indonesia is an important factor in supporting community mobility, especially in inter-city travel. This study aims to analyze the factors that influence the choice of transport mode between buses and airplanes on the Palembang-Jakarta route. This study uses the binary logistic regression method to identify the probability of users choosing one mode of transport based on various factors. Inter-city mobility in Indonesia is increasing, especially for travel between Palembang and Jakarta. The choice of efficient modes of transport is an important factor for users, with two main modes available, namely buses and airplanes. This study aims to analyze the factors that influence the choice of transportation mode by considering variables such as travel costs, travel time, comfort, safety, and accessibility. The research method used is binary logistic regression, which allows for the analysis of the probability of mode selection based on influential factors. Data was collected through a questionnaire survey involving respondents who had travelled from Palembang to Jakarta. Based on the results of the study, optimization of public transport services is needed to improve competitiveness and enhance travel comfort and safety. This study provides insights for transport service providers and policymakers in designing more efficient and sustainable transport policies.
Analysis of Human Error Factors in Traffic Accident (Case Study: Tangerang-Merak Toll Road) Dika Ruslaninur Yadi; Martha Leni Siregar; Sutanto Soehodho
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 2 (2026): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i2.2230

Abstract

Traffic accidents carry significant social, economic, and public safety consequences. In Indonesia, human error accounts for over 60% of accident cases, based on data from the Indonesian National Police Traffic Corps. The Tangerang-Merak Toll Road, a vital corridor connecting industrial areas and major ports in western Java, has seen a notable increase in accidents in recent years, underscoring the need for a deeper understanding of human error contributions. This study aims to analyze the influence of human error-related factors, including driving behavior, risk perception, environmental factors, and individual characteristics, on traffic accidents on the Tangerang-Merak Toll Road. A quantitative approach using Structural Equation Modeling Partial Least Squares (SEM-PLS) was employed to examine these relationships. Data were collected through observation, literature review, and questionnaires. The model demonstrates strong explanatory power, with an R-square value of 0.606, indicating that 60.6% of the variation in traffic accidents is explained by the included variables. Driving behavior is the most dominant factor, with a path coefficient of 0.669, followed by risk perception (0.248). Environmental factors show a negative relationship (-0.478), suggesting that certain environmental conditions may reduce accident risk. Individual characteristics exhibit smaller and mixed effects, including driving experience (0.134), frequency of toll road usage (-0.149), vehicle type (-0.073), and gender (-0.144).
Driving License Testing Quality and Driver Competence in Urban Traffic Safety Johannes Johannes; Sutanto Soehodho; Martha Leni Siregar
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 2 (2026): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i2.2233

Abstract

Road traffic accidents remain a pressing public safety concern in rapidly urbanizing cities. In Bekasi City, accident cases rose from 683 in 2022 to 1,146 in 2025, with a growing proportion of perpetrators found to be licensed drivers, raising questions about whether the driving license (SIM) testing system adequately ensures driver competence. This study examines the relationship between the quality of SIM testing and driver competence, focusing on hazard perception, safety knowledge, and driving behavior in Bekasi City. A quantitative approach was employed using Analysis of Variance (ANOVA) within the General Linear Model (GLM) framework, involving 120 respondents: 60 SIM A (car drivers) and 60 SIM C (motorcycle riders). Data were collected through questionnaires based on official SIM training modules. The results show that for SIM A drivers, the model significantly affects hazard perception and safety knowledge (Sig. = 0.000), but not driving behavior (Sig. = 0.102), with R² values of 0.818, 0.568, and 0.197, respectively. For SIM C riders, the model is significant across all variables (Sig. = 0.000), with R² values of 0.696, 0.633, and 0.562. Age and driving experience significantly influence cognitive aspects, while license ownership shows a consistently strong effect (Sig. = 0.000). Questionnaire accuracy ranged from 78% to 92% across all categories. Despite high cognitive scores, a gap persists between knowledge and actual driving behavior, particularly among SIM A drivers. It is recommended that the system incorporate behavior-based evaluations and real-world driving assessments to improve road safety outcomes.
Evaluating the Effect of Stop Line Visibility on Driver Compliance at Urban Intersections in Jakarta Rian Hendris Saputra; Sutanto Soehodho; Martha Leni Siregar
INTERNATIONAL JOURNAL ON ADVANCED TECHNOLOGY, ENGINEERING, AND INFORMATION SYSTEM Vol. 5 No. 2 (2026): MAY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i2.2234

Abstract

Urban intersections are critical nodes in city traffic systems, where road marking clarity is vital in guiding driver behavior and reducing violations. In rapidly growing cities such as Jakarta, the degradation of road markings, particularly stop line markings, poses a significant challenge to traffic safety and compliance. This study examines the influence of stop line marking clarity on road user compliance at urban intersections in Jakarta. The research applies a mixed-method approach that integrates field observation, speed profile analysis, Difference-in-Differences (DiD), and multiple linear regression to provide a comprehensive understanding of driver behavior. Two intersections representing different marking conditions, namely clear and faded markings, were selected as study locations. The DiD analysis shows a clear difference in violation behavior, where the intersection with clear markings has a violation rate of 22.0%, while the intersection with faded markings reaches 37.7%, resulting in a difference of 15.6%. The speed profile analysis indicates that vehicles at the intersection with faded markings maintain higher speeds at all observed distances. The largest difference occurs at 20 meters, with a speed gap of 4.74 km/h. This finding suggests that faded markings lead to delayed deceleration, while clear markings encourage earlier and more gradual speed reduction. The multiple linear regression proved that perceived marking clarity has a significant effect on violation behavior with a coefficient of 0.112 and a significance value of 0.029. The model explains 50.4% of the variation in violation behavior. Among the variables, ETLE awareness shows the strongest influence, followed by improved marking perception.

Page 16 of 17 | Total Record : 164

 13   14   15   16   17 

Filter by Year

2022 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 3 (2026): AUGUST Vol. 5 No. 2 (2026): MAY Vol. 5 No. 1 (2026): FEBRUARY Vol. 4 No. 4 (2025): NOVEMBER Vol. 4 No. 3 (2025): AUGUST Vol. 4 No. 2 (2025): MAY Vol. 4 No. 1 (2025): FEBRUARY Vol. 3 No. 4 (2024): NOVEMBER Vol. 3 No. 3 (2024): AUGUST Vol. 3 No. 2 (2024): MAY Vol. 3 No. 1 (2024): FEBRUARY Vol. 2 No. 4 (2023): NOVEMBER Vol. 2 No. 3 (2023): AUGUST Vol. 2 No. 2 (2023): MAY Vol. 2 No. 1 (2023): FEBRUARY Vol. 1 No. 4 (2022): NOVEMBER Vol. 1 No. 3 (2022): AUGUST Vol. 1 No. 2 (2022): MAY Vol. 1 No. 1 (2022): FEBRUARY More Issue