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All Journal Inersia : Jurnal Teknik Sipil dan Arsitektur Prosiding Seminar Nasional Teknik Sipil UMS Journal of Railway Transportation and Technology
Amrozi, Mukhammad Rizka Fahmi
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Transportation

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The Evaluation of Pavement Condition Assessment Methods for Road Assets in Coastal Areas Teopilus, Clarence Deborah; Amrozi, Mukhammad Rizka Fahmi
INERSIA lnformasi dan Ekspose Hasil Riset Teknik Sipil dan Arsitektur Vol. 19 No. 2 (2023): December
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/inersia.v19i2.61089

Abstract

The Daendels road is a vital provincial road asset that facilitates the distribution of goods and services, enhances tourism access, and promotes socio-economic development in the southern region of Java Island. The deteriorated condition of the Daendels road pavement has the potential to escalate both the likelihood of accidents and vehicle operating costs. In Indonesia, road distress is measured using the Surface Distress Index (SDI), but certain types of distress are not yet incorporated into the calculation. Therefore, this study aims to identify the typical road distress in the coastal region and then to evaluate and compare several visual methods for evaluating the functional condition of road pavements, i.e., the SDI, Pavement Condition Index (PCI), and Pavement Surface Evaluation and Rating (PASER). Pavement conditions for Daendels Road have different analysis results depending on the method used. The average value of PCI is 50.5 (slightly damaged), the SDI is 164 (severely damaged), and the PASER is 4 (slightly damaged). The statistical analyses indicate that both the SDI-PCI and SDI-PASER methods have a very strong relationship. The SDI-PCI method has a higher correlation and coefficient of determination value (R= -0,929, R²= 0,8631) than SDI-PASER (R= -0,807, R²= 0,652). The PCI method is more applicable than the SDI dan PASER as it considers a wider range of pavement distress (19 categories) and more accurately represents the typical distress encountered on the South Coast of Java Island. The pavement condition of Daendels Road is classified as severely damaged with typical distress involving cracking (longitudinal, transversal, alligator, and blocks), patching, and pothole. Hence, a comprehensive plan for road maintenance was suggested, encompassing major rehabilitation using a hot mix asphalt overlay.
Penerapan Metode Human Factor Analysis and Classification System (HFACS) untuk Mengidentifikasi Kecelakaan pada Angkutan Pariwisata Fajar, Chairul; Dewanti, D; Amrozi, Mukhammad Rizka Fahmi
Prosiding Seminar Nasional Teknik Sipil UMS 2025: Prosiding Seminar Nasional Teknik Sipil UMS
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Angkutan pariwisata di Indonesia menunjukkan tingkat kecelakaan yang mengkhawatirkan dengan rasio korban fatal mencapai 67%, lebih tinggi dibandingkan angkutan Antar Kota Antar Provinsi (AKAP) dan Antar Kota Dalam Provinsi (AKDP) sebesar 49%. Sementara itu, data kecelakaan lalu lintas menunjukkan bahwa kesalahan manusia menjadi faktor penyebab utama, yaitu mencapai 61%. Dengan demikian, tindakan konkret untuk mengatasi persoalan ini sangat diperlukan. Penelitian ini bertujuan untuk mengidentifikasi dan mengklasifikasi faktor penyebab kesalahan manusia dalam kecelakaan serta memberikan rekomendasi perbaikan melalui pendekatan Human Factor Analysis and Classification System (HFACS). Analisis yang digunakan merupakan gabungan pendekatan kualitatif naratif interpretatif dan deskriptif kuantitatif, dengan teknik pengumpulan data melalui wawancara mendalam, observasi lapangan, dan studi dokumen terhadap 43 kasus kecelakaan angkutan pariwisata periode 2020-2025. Hasil penelitian mengidentifikasi 279 total kasus kesalahan yang dikelompokkan ke dalam empat level HFACS, yaitu Unsafe Acts sebesar 21%, Preconditions for Unsafe Acts sebesar 34%, Unsafe Supervision sebesar 27%, dan Organizational Influences sebesar 18%. Temuan ini menunjukkan perlunya perbaikan menyeluruh melalui pelatihan pengemudi, pemeriksaan kesehatan, pengaturan waktu kerja, perawatan kendaraan, penggunaan teknologi keselamatan, pengelolaan sumber daya, penerapan sistem manajemen keselamatan, serta pengaturan jadwal operasional untuk meningkatkan keselamatan angkutan pariwisata.
Accident Risk Analysis at Level Crossings Based on Physical and Operational Characteristics (Case Study: Crossing Points in Medan City Area): Application of the ALCAM Model in Medan City Hamdani, Aldi BJ; Amrozi, Mukhammad Rizka Fahmi
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.71

Abstract

Level crossings are critical safety points in railway operations due to the interaction between trains and road traffic. In Indonesia, many crossings in urban areas such as Medan operate with limited safety infrastructure, increasing the likelihood of serious accidents. This study aims to evaluate accident risks and propose mitigation strategies for selected level crossings in Medan. A quantitative risk assessment was conducted using the Australian Level Crossing Assessment Model (ALCAM), which considers infrastructure, exposure, and consequence factors. Data were collected through field observations, interviews with crossing attendants, and secondary records from local transport authorities. Three locations were analyzed: KM 9+30 on the Medan–Binjai line, and JPL 1 (KM 0+640) and JPL 4 (KM 1+325) on the Medan–Tanjung Balai line. The ungated crossing at KM 9+30 had a risk score of 0.053, JPL 1 the highest at 0.136, and JPL 4 at 0.076. Simulated mitigation strategies substantially reduced risks to 0.020, 0.051, and 0.038, respectively. These findings demonstrate that ALCAM provides a reliable framework for quantifying risks and prioritizing safety improvements at level crossings in Indonesia.
Road Attributes and Traffic Characteristics Effects on Motorcycle Safety Arumdyah Widiati; I Made Sukmayasa; Dimas Adi Perwira; Azmi, Azwan Ezzany; Amrozi, Mukhammad Rizka Fahmi
Journal of Railway Transportation and Technology Vol. 4 No. 2 (2025): November
Publisher : Politeknik Perkeretaapian Indonesia Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37367/jrtt.v4i2.77

Abstract

In Indonesia, motorcycles dominate the transport landscape, with over 125 million registered motorcycles as of 2025. The country faces a significant road safety challenge, recording over 31,000 road traffic deaths annually, with motorcycles involved in many fatal crashes. Infrastructure-based interventions have shown promise in mitigating these risks. However, the implementation remains uneven, and effectiveness varies by region. Therefore, a systematic assessment of the influence of road conditions on motorcycle safety and evaluating the impact of infrastructure-based countermeasures in reducing crash risk and injury severity is needed. This study aims to systematically assess the road safety risk for motorcyclists in campus areas, with a specific focus on the role of local road attributes and traffic characteristics to propose suitable infrastructure-based countermeasures in reducing crash risk and injury severity. The method used is a road assessment tool developed by the International Road Assessment Programme (iRAP). The results show that The road attributes that play the most crucial role in determining the SRS value for a motorcycle on a road segment in the UGM campus area are those that contribute to accident likelihood: curvature, median transversability, and operating speed. Although previous research has shown operating speed to be a mediating variable rather than a direct factor in accident occurrence, it is essential to consider the factors that contribute to accidents. For intersections, the road attributes that significantly determine the level of safety are those that influence the likelihood and severity. The road attributes that influence likelihood are curvature, intersection quality, channelization, and property access points. The road attributes that influence severity are roadside severity – distance, paved shoulder width, and property access points.
Co-Authors Arumdyah Widiati Azmi, Azwan Ezzany Dewanti, D Dimas Adi Perwira Fajar, Chairul Hamdani, Aldi BJ I Made Sukmayasa Teopilus, Clarence Deborah