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All Journal Media Teknik Sipil Rekayasa Sipil Jurnal Rekayasa Sipil dan Lingkungan
Muhammad Zainul Arifin
Universitas Brawijaya
Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Engineering Environmental Science Transportation

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Journal : Rekayasa Sipil

 1 
PERENCANAAN JUMLAH TOLL GATE Muhammad Zainul Arifin; Devina Candra Puspita Rini; Khairul Arifin; Ludfi Djakfar
Rekayasa Sipil Vol 15, No 1 (2021)
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2021.015.01.8

Abstract

Pasuruan-Probolinggo toll road was built to increase economic sector in East Java Region. Prior to construction, it’s necessary to analyze potential of toll road users and planning the ideal number of toll gates to comply with minimum service standards. This study uses Stated Preference method to determine vehicle switch, planning of ideal toll gates using Poisson Distribution, and FIFO queuing model used to analyze toll gate service system. Based on analysis, the largest potential road users who will switch to use Pasuruan-Probolinggo toll road section IV in 2021, 2025, 2030, 2035, and 2040 are 5,49%, 23,84%, 30,63%, 30,63%, and 30,63%. The calculation of toll gates is adjusted to the calculation of potential toll road users in 2025, 2030, 2035, and 2040 with the arrival of 385, 503, 657, and 858 vehicles/hour/strip. So, the ideal number of toll gates needed in 2025-2030, are 4 units, and 2035-2040 are 8 units of toll gates.
Model Prediksi Kecelakaan Kendaraan Sepeda Motor pada Ruas Jalan di Kota Ambon Frando Simon Hukom; Ludfi Djakfar; Muhammad Zainul Arifin
Rekayasa Sipil Vol. 17 No. 2 (2023): Rekayasa Sipil Vol. 17 No. 2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2023.017.02.14

Abstract

This study aims to model the prediction of motorcycle vehicle accidents in Ambon City. Factors reviewed in this study include socioeconomic and travel patterns, driving equipment and preparation, driving habits, and driving behavior. The survey was conducted using interview and questionnaire survey methods with a total of 250 respondents. The research method used is data analysis using Structural Equation Modeling (SEM). The results of motorcycle accident modeling show that the first biggest influence on the prediction of an accident is the driver's behavior characteristic variable, with the indicator that describes the cause of a traffic accident is the indicator of driving over the speed limit. Thus when a motorbike driver drives his vehicle fast and exceeds the speed limit, the higher the possibility that the driver will experience a traffic accident. So it is necessary to have cooperation between the police and related parties in dealing with accidents and reducing the risk of traffic accidents such as providing outreach or information, through newspaper or electronic media to the people in Ambon City regarding the dangers of driving over speed or speeding while driving on the road Ambon City.
Model Peluang Kecelakaan Mobil Penumpang pada Ruas Jalan Nasional Gempol Kabupaten Pasuruan Vicitra Pradyavita; Muhammad Zainul Arifin; Sobri Abusini
Rekayasa Sipil Vol. 17 No. 2 (2023): Rekayasa Sipil Vol. 17 No. 2
Publisher : Department of Civil Engineering, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.rekayasasipil.2023.017.02.16

Abstract

The increase in accidents is caused by a vehicle, humans, roads, and environmental factors. On the gempol national road in Pasuruan,Regency,0this;study;aims,to;identify;the;characteristics;of,car,drivers, roads, and opportunity models that cause accidents. Data analysis using Structural Equation Modeling (SEM) included 243 questionnaires of drivers who had experienced accidents. Road Characteristics based on user perceptions that focus on geometric conditions at the accident site are the most prevalent accident modeling results that affect accident intensity. If we want to reduce accident rates, we should prioritize addressing geometric conditions at accident sites, as well as socializing traffic awareness and installing signs in accident-prone areas.
Co-Authors Darmadi Darmadi Devina Candra Puspita Rini Frando Simon Hukom Harnen Sulistyo Imma Widyawati Agustin Khairul Arifin Lasmini Ambarwati Ludfi Djakfar Noverando Bagus Pratama Rahadi Bintang Sobri Abusini Vanny Danaswari Vicitra Pradyavita