Article Per Year (5 Year)
p-Index From 2020 - 2025
3.58
P-Index
This Author published in this journals
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) Community Development Journal: Jurnal Pengabdian Masyarakat International Journal of Engineering, Science and Information Technology CITIZEN: Jurnal Ilmiah Mulitidisiplin Indonesia Indonesian Journal of Multidisciplinary Science Journal of Social Research Edunity: Kajian Ilmu Sosial dan Pendidikan Journal of Artificial Intelligence and Digital Business Journal Research of Social Science, Economics, and Management Jurnal Ekonomi, Teknologi dan Bisnis Communautaire: Journal of Community Service Asian Journal of Social and Humanities
Prasetijo, Joewono
Unknown Affiliation
Religion Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 26 Documents
Search

 1   2   3 
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.
Analysis of the Relationship of Land Transportation with GDP Regional in the Construction Sector in Indonesia Prasetyo, M. Ferdi; Setiawan, Muhammad Ikhsan; Dwi Apriliani, Dora; Prasetijo, Joewono
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Department of Information Technology, Universitas Malikussaleh, Aceh Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.474

Abstract

As the world's population increases, the need for a mode of transportation will increase, and the amount of transportation currently has positive and negative impacts. The positive impact is to help mobilize goods, people, and services. Negative impacts are traffic jams, air pollution, and accidents. This study aims to determine the relationship between land transportation and GDP Regional in the construction sector in Indonesia. The findings in this study indicate that (1) The relationship between GDP Regional for Construction and the length of State/National roads according to paved road surface has a deficient correlation level with a correlation interval value (0.105) with a Sig value (0.559 0.05). (2) The relationship between GDP Regional of construction and the length of provincial roads according to asphalt surface has a moderate relationship with a correlation interval value (0.527) with a Sig value (0.002 0.05), GDP Regional construction with a length of provincial roads according to gravel surface has a deficient relationship level with a correlation interval value (-0.271) with a Sig value (0.127 0.05).
Performance Analysis of Road Section and Unsignalized Intersections On Jalan Cileungsi Setu and Jalan Raya Narogong Isradi, Muhammad; Aulia Tarastanty, Nandhita; Budi Dermawan, Widodo; Mufhidin, Amar; Prasetijo, Joewono
International Journal of Engineering, Science and Information Technology Vol 1, No 2 (2021)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1175.793 KB) | DOI: 10.52088/ijesty.v1i2.108

Abstract

The unsignalized intersection which is located in Cileungsi District, precisely on Jalan Cileungsi Setu and Jalan Raya Narogong, is a commercial area with dense economic activity and densely populated settlements. As a result of the dense activity, congestion occurs due to the large number of vehicles passing the road, especially during peak hours, namely the morning and evening. Seeing this problem, an analysis is needed that aims to determine the volume, performance of roads, and unmarked intersections as measured by capacity, degree of saturation, and level of service.  In analyzing this study using the Indonesian Road Capacity Manual (MKJI) 1997 method which will determine the performance of roads and intersections without signs. The data needed in this research are primary data in the form of geometric road data, traffic volume, vehicle speed data, and side friction. As well as secondary data in the form of location maps, land use, and population data. From the results of data analysis and processing, the busiest traffic flow at the intersection occurred on Sunday, November 15, 2020 at 17.30 - 18.30 WIB, the saturation degree value was 1.17 with LOS F. By doing an alternative solution, the saturation degree value was 0.68 and LOS B with placing signs are prohibited from stopping around intersections, and prohibiting the flow of traffic turning right either from the main road D to the Minor C road or from the Minor C road to the main road B. On Jalan Raya Narogong, the degree of saturation is 0.74 LOS C service, this shows that the road sections do not exceed the figure required by MKJI 1997, namely ≤ 0.75.
Analysis of the Relationship Between Foreign Sea Transportation Visits and Gross Domestic Product Regional in the Processing Industry Sector Rifansa, Aditya; Setiawan, Muhammad Ikhsan; Dwi Apriliani, Dora; Prasetijo, Joewono
International Journal of Engineering, Science and Information Technology Vol 3, No 3 (2023)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v3i3.475

Abstract

Sea transportation is also very much needed in the processing industry for ships and passengers and the flow of goods. Suppose the incoming ship can be seen as a sender of goods or the processing industry itself. This is supported very well by the cargo and costs for sea transportation, with much cargo at a relatively low cost. Analyzing the relationship of foreign sea transportation with the regional GDP of the processing industry sector. From ship visits consisting of total and units to passenger visits consisting of passenger arrivals and departure, for variable analysis using correlation and hypothesis testing. The results of overseas sea transportation with the GDP Regional the processing industry are for the correlation results of ship visits from units (0.613) with a strong and total correlation (0.596) with a moderate correlation, for passenger arrivals (0.262) and passenger departures (0.280) both have a low correlation relationship, for the unloading flow of goods (0.607) has a strong correlation. So the visits of foreign sea transportation ships with the GDP Regional of the processing industry sector have a significant relationship of (0.00) from the unit or total ships; for passenger visits, both do not have a substantial relationship for passenger arrivals (0.141) and passenger departures (0.115). The flow of unloading of goods has a significant relationship of (0.00). The greater the number of ship visits and the flow of unloading of goods, the higher the GDP Regional of the Processing Industry Sector, but the increasing number of passenger visits has no relation to the GDP Regional of the Processing Industry Sector.
Accident Prevention and Traffic Safety for Sekolah Alam Robbani Bekasi - (KidSafe) Dwiatmoko, Hermanto; Isradi, Muhammad; Prasetijo, Joewono; Rohani, Munzilah MD; Abdila, Syafiadi Rizki; Rifai, Andri Irfan
Communautaire: Journal of Community Service Vol. 2 No. 1 (2023)
Publisher : Al-Qalam Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/communautaire.v2i1.162

Abstract

In 2020, the number of traffic accidents from student age was 42,604 people. Meanwhile, there were 26,355 traffic accidents from student age until September this year. Based on gender, the majority of traffic accidents occurred in men. Traffic accidents contribute greatly as one of the causes of death in Indonesia.  Traffic accidents have a high fatality rate.  Data shows that in one year, 25, 2666 people died due to traffic accidents.  Among the victims of traffic accidents are school children. About 95% of the causes of accidents are human error factors. The purpose of this community service is to provide an understanding of good traffic in early childhood. Understanding facilities for pedestrians and cycling lanes. The method provided is by providing material, pictures of traffic signs, and play displays related to traffic signs. Evaluation and results of activities by dividing students into several small groups and this is effective, students are able to explain traffic signs, and good traffic procedures, especially for users of pedestrian facilities and safe cyclist routes.
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.
Co-Authors Abdila, Syafiadi Rizki Agus Setiawan Aluna Ricardo, Vincent Amanatullah Savitri, Amanatullah Andri Irfan Rifai Arief Rijaluddin Astapati, Damar Gusti Aulia Tarastanty, Nandhita Budi Dermawan, Widodo Candra, Bangkit Yanuar Yularso Dea Fitri Pratama, Siti Tasyah Dwi Apriliani, Dora Dwiatmoko, Hermanto Firdaus, Hendy Yusman Ginting, jody Martin Habibi, Royhan Farhan HERYADIANA, ASEP DIAN Immanuel, Gabriel Ivan, M. Taufik Jaya Saputra, Ade Jenny, Jenny Kartika, Rizska Dwi Kharisma, Galuh Kinasih, Reni K. Mohamad Taufik, Mohamad Mufhidin, Amar Muhammad Isradi Pamungkas, Febri Kusbianto Pontoh, Enny Merry Prasetyo, Cepy Prasetyo, M. Ferdi Raegentsario, Vito Rafaelin, Fabiola Frederica Ramadani, Kurnia Gilang Ricardo, Vincent Aluna Ridho Alfarizi, Muhammad Rifai, Andri I. Rifansa, Aditya Rifa’i, Andri Irfan Rohani, Munzilah Md Saputra, Ade Jaya Saputra, Tohmas Sari, Yusra A. Sari, Yusra Aulia Savitri, Amanatullah Savitri Setiawan, Muhammad I. Setiawan, Muhammad Ikhsan Sri Wiwoho Mudjanarko, Sri Wiwoho Toruan, Erni Sari Lumban Wahyudi, M. Alfi Yudha, Ridho Fhaza Damar Yudi Herdiana Zainal, Zaffan Farhana Zhang, Guohui Zolkepli, Muhammad F. Zolkepli, Muhammad Farhan