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All Journal Sinergi Civil Engineering Journal The Spirit of Society Journal : International Journal of Society Development and Engagement IJEBD (International Journal Of Entrepreneurship And Business Development) Journal of Civil Engineering and Planning (JCEP) CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Indonesian Journal of Multidisciplinary Science Journal of Artificial Intelligence and Digital Business Jurnal Ekonomi, Teknologi dan Bisnis Asian Journal of Social and Humanities
Prasetijo, Joewono
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Religion Humanities Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Model of the Road Capacity Influence on Traffic Congestion and Noise Disturbance on Wonocolo - Sepanjang Road at Sidoarjo Region Pontoh, Enny Merry; Mudjanarko, Sri Wiwoho; Prasetijo, Joewono
THE SPIRIT OF SOCIETY JOURNAL : International Journal of Society Development and Engagement Vol 7 No 2: March 2024
Publisher : LPPM of NAROTAMA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29138/scj.v7i2.2776

Abstract

Traffic congestion and noise are significant issues in rapidly developing urban areas. This study examines the impact of road capacity on congestion and noise levels starting from Wonocolo to Sepanjang road in Sidoarjo regency. The objectives are to analyze the road capacity, its influence on traffic congestion, and the correlation with noise pollution. Using the MKJI 1997 method, traffic and noise data were collected and analyzed during peak hours. The results indicate that increased road capacity has a direct effect on reducing congestion, but also influences noise levels. The findings suggest that managing road capacity effectively can mitigate traffic congestion and noise pollution. Contributing to a better urban planning and transportation management.
The Phenomena of Local Public Transportation Service: A Case Oplet in Pontianak, Indonesia Setiawan, Agus; Rifai, Andri Irfan; Prasetijo, Joewono
Citizen : Jurnal Ilmiah Multidisiplin Indonesia Vol. 2 (2022): SPECIAL ISSUE: Sustainability of Design, Public Transport, & Engineering
Publisher : DAS Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53866/jimi.v2i5.209

Abstract

Indonesia has a large population and high mobility in daily activities. In meeting mobility needs, traditional public transport has become a hallmark of every city. However, changes in societal behavior have caused traditional public transport to be replaced by online transportation. The purpose of this study was to determine the level of user satisfaction with traditional public transport. The research was conducted in Pontianak City with traditional public transport (Oplet) passengers as respondents. Data collection for October 2022 through an online survey. The study's Importance Performance Analysis results show that there still needs to be a gap between importance and performance. The mean importance value is 4.09 with a performance of 3.87, so the gap is 0.22. While the parameters to improve Oplet services are passenger capacity and driver communication.
Identification of hazardous road sites: a comparison of blackspot methodology of Narogong Road Bekasi and Johor Federal Roads Isradi, Muhammad; Dwiatmoko, Hermanto; Prasetijo, Joewono; Rifai, Andri Irfan; Zainal, Zaffan Farhana; Zhang, Guohui; Firdaus, Hendy Yusman
SINERGI Vol 28, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.2.014

Abstract

A traffic accident is an unexpected and inadvertent road event involving a vehicle with or without other road users that results in human injuries and possibly property damage. This study identifies and analyses the characteristics of Indonesian and Malaysian road traffic incidents. The method used was the identification of crash data coordinates and the Equivalent Accident Number (EAN) score per road segment. Accident characteristics are based on the type of road traffic accident, and collision is the most common type of accident. Speed data of two vehicles, cars and motorcycles, was collected through the test driver method by using the same vehicles for cars and motorcycles and following their normal driving habits. From the analysis results, some factors causing accidents on the Bekasi Narogong Road Section are the lack of traffic signs, road surface conditions, and lack of clear road markings. While on the FT050 Johor federal road, every kilometre per segment and along the segment, motorcycles are faster than cars in terms of speed.
Development of Pavement Deterioration Models Using Markov Chain Process Isradi, Muhammad; Rifai, Andri I.; Prasetijo, Joewono; Kinasih, Reni K.; Setiawan, Muhammad I.
Civil Engineering Journal Vol 10, No 9 (2024): September
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-09-012

Abstract

A common phenomenon in developing countries is that the function of the pavement in the road network will experience structural damage before the completion of life is reached, and the uncertainty of pavement damage is difficult to predict. Planning for maintenance treatment depends on the accuracy of predicting future pavement performance and observing current conditions. This study aims to apply the Markovian probability operational research process to develop a decision support system predicting future pavement conditions. Furthermore, it determines policies and effectiveness in managing and maintaining roads. A standard approach that can be used by observing the history of pavement damage from year to year is to estimate the transition probability as a Markovian-based performance prediction model. The results show that the application of the model is quite optimal, changes in pavement conditions after repair can be easily compared with an increase in good condition, reaching 92.8%. Routinely and consistently handling road deterioration will give favorable results regarding pavement condition value. This will ease in the management of the road network and the accomplishment of the optimal maintenance and repair policies. Doi: 10.28991/CEJ-2024-010-09-012 Full Text: PDF
Data Mining Approach-Based Damage Identification for Asphalt Pavement Under Natural Disaster Conditions Rifai, Andri I.; Isradi, Muhammad; Prasetijo, Joewono; Sari, Yusra A.; Zolkepli, Muhammad F.
Civil Engineering Journal Vol 10, No 12 (2024): December
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-12-015

Abstract

Road performance can also decline due to natural disasters such as earthquakes, often in Indonesia. Given the high risk of natural disasters in Indonesia, it is important to consider their impact. Therefore, it is necessary to prepare for road rehabilitation and reconstruction quickly and accurately. This research aims to identify potential factors causing road damage by developing an approach to obtain predictions of road damage levels due to natural disasters by utilizing the availability of historical data, developing a decision support system to rehabilitate and reconstruct roads after disasters, and developing a road damage model due to earthquakes using data mining. The data was used to assess the condition of the national road pavement in Central Sulawesi and identified the disaster events as earthquakes that originated from the USGS. Data processing uses a data mining (DM) approach, which includes three models. The results found that the SVM modeling with the DM approach had a high accuracy rate of 0.91 ± 0.01, RMSE 0.70 ± 0.02, and MAD 0.42 ± 0.01. SVM achieves the highest accuracy after 20 runs. The best hyperparameters to accomplish a fit SVM model are ϵ = 0.07 ± 0.01 and γ = 0.05 ± 0.00. Meanwhile, for ANN, the hyperparameters are H = 3 ± 1. The earthquake’s magnitude (27%) and depth (24%) contribute to road damage. Doi: 10.28991/CEJ-2024-010-12-015 Full Text: PDF
Flood and landslide exposure awareness for mitigation of road network performance: a community-based approach Rifai, Andri Irfan; Prasetijo, Joewono; Isradi, Muhammad; Sari, Yusra Aulia; Zolkepli, Muhammad Farhan
SINERGI Vol 29, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.2.012

Abstract

Natural disasters in the form of floods and erosion in remote area road networks pose challenges for the government. The involvement of community-based disaster management can make it easier for stakeholders to carry out disaster mitigation intelligently. Digital technology can provide information about disaster conditions and facilitate coordination between related parties in managing floods and landslides. This research aims to explore the cultural understanding of the local community to encourage community-based involvement in optimizing road infrastructure services that have been disrupted due to floods and landslides. This qualitative research method uses data from surveys, Focus Group Discussions (FGD), and in-depth interviews. Several community leaders, non-government organizations, and the government became sources of data and discussions. The research results are divided into four main results: 1) Based on exploring the cultural understanding of the local community about disasters, the community is very concerned about road safety and accessibility. Communities in the road network area have also understood the causes of floods and landslides that can disrupt road functions; 2) Culturally, the community is accustomed to and actively involved in disaster preparedness; 3) Hereditarily, the community has been an essential part of the disaster mitigation process; 4) The community feels comfortable using social media platforms to accelerate community communication in disaster mitigation and handling.
A Systematic Review of Geometric Road Design Evaluation Methods with AutoCAD Civil 3D Applications: Tinjauan Sistematis Metode Evaluasi Desain Geometris Jalan dengan Aplikasi AutoCAD Civil 3D Candra, Bangkit Yanuar Yularso; Heryadiana, Asep Dian; Prasetijo, Joewono
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1414

Abstract

Geometric road design is fundamental to the development of efficient, safe, and sustainable transportation systems. In recent years, the application of digital tools, particularly AutoCAD Civil 3D, has significantly improved the accuracy and efficiency of road design processes. This systematic review investigates evaluation methods for geometric road design published between 2020 and 2025, with a focus on the use of AutoCAD Civil 3D as a primary tool. The review synthesizes findings from peer-reviewed journals, highlighting how Civil 3D has been applied in tasks such as horizontal and vertical alignment analysis, cross-section modeling, and corridor development. Results indicate that AutoCAD Civil 3D not only streamlines the design workflow but also supports better decision-making through three-dimensional visualization and real-time data integration. However, the review also identifies several limitations, including software complexity, the need for specialized training, and challenges in interoperability with other systems. Overall, this study emphasizes the critical role of AutoCAD Civil 3D in modern road design evaluation and encourages the adoption of standardized methodologies and continuous professional development to optimize its application in transportation infrastructure planning
Impact of Intelligent Transportation Systems (ITS) on Traffic Improvement for Middle City Scale: A Systematic Literature Review (SLR) Yudha, Ridho Fhaza Damar; Astapati, Damar Gusti; Pamungkas, Febri Kusbianto; Toruan, Erni Sari Lumban; Prasetijo, Joewono
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1465

Abstract

Intelligent Transportation Systems (ITS) have rapidly evolved as innovative solutions to improve traffic performance while reducing accident rates. This study is a Systematic Literature Review (SLR) aimed at analyzing the impact of ITS technology implementation on traffic improvement, particularly through the application of traffic warning systems and adaptive traffic management. Based on previous studies, traffic warning systems provide real-time information about road conditions and potential hazards, enhancing driver awareness and reducing the risk of accidents. In addition, adaptive traffic management utilizes sensors and optimization algorithms to adjust traffic light cycle times according to vehicle density, resulting in smoother traffic flow and reduced congestion. The findings of this SLR indicate that implementing ITS significantly contributes to lowering accident rates, improving road safety, and enhancing the efficiency of urban transportation networks.
A Systematic Literature Review on the Influence of Road Curves on Urban Mobility Performance and Safety Habibi, Royhan Farhan; Prasetyo, Cepy; Ivan, M. Taufik; Rijaluddin, Arief; Prasetijo, Joewono
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1474

Abstract

The geometric design of road bends is an important factor affecting smooth mobility and traffic safety in urban areas. This study aims to systematically evaluate how elements such as bend radius, superelevation and sight distance affect traffic performance and crash risk. The Systematic Literature Review (SLR) method was used with reference to the PRISMA protocol, analyzing 970 scientific publications from 2000 to 2025 obtained through Google Scholar using Publish or Perish. Bibliometric data were analyzed and visualized with VOSviewer to identify research trends, keyword linkages, and author collaboration patterns. The results showed five main clusters, namely horizontal design, user safety, driver behavior, traffic efficiency, and socio-environmental impacts. It was found that sub-optimal corner design significantly increases crash potential, especially in sharply curved areas with low visibility and heavy traffic. The study also showed the dominance of contributions from developed countries, while developing countries are still limited despite facing the challenges of greater urbanization and complex infrastructure. Therefore, a multidisciplinary and contextual approach is needed in planning curve designs that are responsive to local conditions. This study emphasizes the importance of utilizing bibliometric technology for the design of bend designs. Therefore, a multidisciplinary and contextual approach is needed in planning bend designs that are responsive to local conditions. This study emphasizes the importance of utilizing bibliometric technology to support data-driven decision-making, strengthen the integration of technical, social, and environmental aspects, and design adaptive and sustainable urban transport.
The Analysis Of Deterioration Of Village Road: A Case Of Palasah-Majalengka Kharisma, Galuh; Rifai, Andri Irfan; Taufik, Mohamad; Prasetijo, Joewono
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 3 No. 10 (2024): JETBIS : Journal Of Economics, Technology and Business
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v3i9.137

Abstract

They are raising international issues related to road maintenance and repair. Road damage occurring in various countries, including cracks, potholes, and surface deformation, significantly impacts transportation safety and efficiency. Many roads in certain regions experience damage, such as cracks, potholes, and surface deformation due to increased traffic loads and extreme weather conditions. This paper aims to analyze road damage in Karamat Village according to Bina Marga standards to identify and understand the causes and effects of such damage. Primary data is collected from field observations at the study site, referred to as primary or first-hand data. The road damage found on Pajaten Road in Karamat Village, Majalengka Regency, includes patches, cracks, disintegration, potholes, and waves. Routine maintenance aims to improve the surface layer quality without increasing structural strength. The Pajaten road section in Karamat Village, Majalengka Regency, has conditions of loose stones, cracks, patches, potholes, and waves. The Directorate General of Highways states that the calculation results have a priority order 10, placing it in the priority group > 7. According to Bina Marga, road damage is addressed through a routine maintenance schedule. Patching is recommended and suggested for repairing road cracks, ruts, and collapses.
Co-Authors Ade Jaya Saputra Aluna Ricardo, Vincent Andri Irfan Rifai Arief Rijaluddin Astapati, Damar Gusti Candra, Bangkit Yanuar Yularso Ginting, jody Martin Habibi, Royhan Farhan Hendy Yusman Firdaus Hermanto Dwiatmoko HERYADIANA, ASEP DIAN Ivan, M. Taufik Kharisma, Galuh Kinasih, Reni K. Mohamad Taufik, Mohamad Muhammad Isradi Pamungkas, Febri Kusbianto Pontoh, Enny Merry Prasetyo, Cepy Rafaelin, Fabiola Frederica Ricardo, Vincent Aluna Ridho Alfarizi, Muhammad Rifai, Andri I. Saputra, Tohmas Sari, Yusra A. Sari, Yusra Aulia Savitri, Amanatullah Savitri Setiawan, Muhammad I. Sri Dewi Lestari, Sri Dewi Sri Wiwoho Mudjanarko, Sri Wiwoho Toruan, Erni Sari Lumban Yudha, Ridho Fhaza Damar Yudi Herdiana Zainal, Zaffan Farhana Zhang, Guohui Zolkepli, Muhammad F. Zolkepli, Muhammad Farhan