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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 156 Documents
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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. 1 (2026): JANUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i1.2235

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. 1 (2026): JANUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i1.2236

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. 1 (2026): JANUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i1.2237

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. 1 (2026): JANUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i1.2240

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. 1 (2026): JANUARY
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/ijateis.v5i1.2253

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.

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