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Kajian Tingkat Kepuasan Pengguna Jasa terhadap Kinerja Pelayanan Angkutan Penyeberangan Lintas Kariangau – Penajam, Balikpapan Darmadi Darmadi; Muhammad Zainul Arifin; Imma Widyawati Agustin
Media Teknik Sipil Vol. 14 No. 1 (2016): Februari
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jmts.v14i1.3288

Abstract

The objectives of this study are for knowing costumer satisfaction level of ferry service performance Kariangau– Penajam trajectory, Balikpapan based on customer perception with existence of change of ship operational system from 8:4 (8 ship operated and 4 standby) become 10:2 (10 ship operated and 2 standby) and also for getting alternative solution to overcome problems which there is still after imposed of new ship operational system. This study uses Importance-Performance Analysis (IPA) and Customer Satisfaction Index (CSI)methods. Result of study pursuant to analysis of IPA quadrant, service attributes becoming major priority to be improve repaired by its performance are attribute hygiene of bath room/toilet in ship , accuracy of arrival time in destination port, accuracy of time voyage duration, condition of air circulation in ship  and demonstration of usage of safety appliance in ship. CSI calculation result based on customer perception obtained value 69% that representation that assessment of respondent to ferry  service performance of Kariangau – Penajam trajectory enter in satisfied category. 
Kajian Potensi dan Prioritas Lokasi Dry Port di Malang dan Pasuruan Rahadi Bintang; Harnen Sulistyo; Muhammad Zainul Arifin
Media Teknik Sipil Vol. 14 No. 1 (2016): Februari
Publisher : Department of Civil Engineering, Faculty of Engineering, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jmts.v14i1.3293

Abstract

The objectives of this study are knowing the current logistic performance based on customers perceptions, knowing the probability of dry port’s usage and the recommendations of dry port location with high priority in Malang and Pasuruan. This study uses Principle component analysis, stated preference dan analytic hierarchy process. Based on the results, the logistic performance index of Tanjung Perak Port-Malang route is 3.4, relatively even with Tanjung Perak Port-Pasuruan route that has index 3.41 at likert scale. For the both routes, commodity and transportation infrastructure have low score, less than 3 at likert scale. The probability usage is 88.95% when dry port gives3 days shorter in dwelling time, predicted lead time, five hundred thousand rupiahs cheaper in transportation and storage cost and 2 hours faster in travel time for logistic activities of  a 20 feet container on Tanjung Perak Port-Pasuruan route. Pasuruan with priority weight 57.66% is more prioritized than Malang which has priority weight 42.34% as dry port location.To optimize the implementation of dry port in proposed location, increasing the commodity, transportation infrastructure and cargo clearance services at dry port integrated to seaport are recommended
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 Peluang Kecelakaan Pengguna Sepeda Motor Dengan Metode Regresi Logistik Muhammad Zainul Arifin; Lasmini Ambarwati; Noverando Bagus Pratama; Vanny Danaswari
Jurnal Rekayasa Sipil dan Lingkungan Vol 4 No 2 (2020): Jurnal Rekayasa Sipil dan Lingkungan
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/jrsl.v4i2.22392

Abstract

Motorbikes are the most preferred mode of transportation used by many Indonesians for short-distance travel due to easy access and cost-efficiency. Currently, the problem of traffic safety in Indonesia needs attention because the number of accidents per year tends to increase. This study aimed to obtain a model of the chance of accidents involving motorcyclists in Malang city. The analysis method used is logistic regression analysis. Meanwhile, a survey of 200 motorbike riders in Malang is used as the primary data. The descriptive research shows that 23.5% of respondents had had no accident, and there are three characteristics as modeling variables. Firstly, (1) socioeconomic factors, which are dominated by females (30%) and do not own a vehicle other than a motorbike (56%) respondents. Followed by (2) movement characteristics, those who move with a distance of more than 15 km (19%), travel time of more than 1 hour (35.5%), and frequency of use every day (78.5%). And lastly, (3) behavior characteristics included riders carrying goods or cargo in large quantities (30%), overtaking from the right lane (80%). The accident probability model for motorcyclists in Malang is P(BA) = 1/(1+e-(0,239 + 0,667 X1 – 0,499 X9 – 1,730 X11 – 0,201 X12 + 0,660 X13 + 1,014 X43 + 0,876 X44) ). Where = gender, = other owned vehicles, = distance traveled, = travel time driving, = = frequency of use, = Carrying large quantities of goods/loads, = preceding from the right lane. Penggunaan sepeda motor sudah menjadi gaya hidup di Indonesia, sepeda motor dianggap mudah digunakan untuk menempuh jarak dekat dan bahkan efisien. Saat ini di Indonesia masalah keselamatan lalu lintas perlu mendapatkan perhatian. Adapun tujuan utama penelitian ini adalah untuk mendapatkan model peluang kecelakaan yang melibatkan pengguna sepeda motor, dengan lokasi studi di Kota Malang. Metode analisa dengan menggunakan analisis deskriptif dan analisis regresi logistik, sedangkan data primer dengan penyebaran survei kuisioner yang dilakukan pada 200 pengguna sepeda motor sebagai responden. Dari hasil analisis deskriptif, diperoleh bahwa sekitar 23,5% responden tidak pernah mengalami kecelakaan dan sisanya pernah mengalami kecelakaan. Sedangkan variabel pembentuk model meliputi karakteristik sosial ekonomi, karakteristik pergerakan, dan karakteristik perilaku. Hasil diperoleh bahwa variabel yang dominan berpeluang terjadinya kecelakaan. Berturut-turut yaitu responden berjenis kelamin perempuan (30%), tidak memiliki kendaraan selain sepeda motor (56%); Melakukan pergerakan dengan jarak tempuh lebih dari 15 km (19%), waktu tempuh lebih dari 1 jam (35,5%), dan frekuensi penggunaan setiap hari (78,5%). Serta pengendara dengan membawa barang atau muatan dalam jumlah besar (30%), dan mendahului dari sebelah kanan (80%). Hasil Model peluang kecelakaan pengguna sepeda motor di kota Malang adalah sebagai berikut: P(BA) = 1/(1+e-(0,239 + 0,667 X1 – 0,499 X9 – 1,730 X11 – 0,201 X12 + 0,660 X13 + 1,014 X43 + 0,876 X44) ). Dimana X1 = Jenis kelamin, X9 = Kendaraan lain yang dimiliki, X11 = Jarak tempuh, X12 = Waktu tempuh berkendara, X13 = Frekuensi penggunaan sepeda motor, X43 = Membawa barang atau muatan jumlah besar, X44 = Mendahului dari sebelah kanan.
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.