Claim Missing Document
Check
Articles

Found 25 Documents
Search

Transport Demand and Traffic Engineering Scheme in The Street Space Reallocation Plan For The Future Tram Track Wahju Herijanto; Hera Widyastuti; Anak Agung Gde Kartika; Budi Rahardjo; Catur Arif Prastyanto; Istiar Istiar
Jurnal Transportasi: Sistem, Material, dan Infrastruktur Vol 1, No 1 (2018): Special Issue
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat - Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1380.123 KB) | DOI: 10.12962/j26226847.v1i1.3789

Abstract

Surabaya has the plan to reactivate tram in several arterial streets which will cause car lane reduction. This research aims to enhance the traffic performance of several arterial streets in Surabaya after the reduction of street width due to street space reallocation for the future tram track. The modal split analysis in a natural car and train or pulled scheme is compared to several vehicle restriction methods or push scheme which using data from car and motorcycle rider. From comprehensive computation, it is concluded that the insertion of tram track in the road space directly without any transport demand management will impact street performance to a more severe condition of traffic jam intersection. Therefore this research advising city government to apply restriction scheme to car and motorcycle by using high occupancy vehicle only scheme or prepaid area licensing scheme.
Evaluasi Nilai Distribusi Beban As Kendaraan Berdasarkan Data Aktual di Lapangan untuk Kendaraan dengan Konfigurasi Sumbu 1.2 H dan 1.2+2.2 Renna Melinda; Catur Arif Prastyanto
Jurnal Aplikasi Teknik Sipil Vol 17, No 1 (2019)
Publisher : Departemen Teknik Infrastruktur Sipil Institut Teknologi Sepuluh Nopember Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.115 KB) | DOI: 10.12962/j2579-891X.v17i1.4885

Abstract

Di Indonesia banyak terjadi kasus kerusakan jalan sebelum umur rencana. Salah satu factor yang berpengaruh adalah banyak truk bermuatan overloaded. Untuk merencanakan tebal perkerasanĀ  mengacu pada metode perencanaan perkerasan jalan lentur yang dikeluarkan oleh Dinas Pekerjaan Umum Bina Marga. Sedangkan data yang ada pada pedoman tersebut hanya untuk kendaraan dengan muatan standar. Kondisi yang kurang sesuai tersebut diduga akan mempengaruhi nilai distribusi beban as kendaraan. Data yang digunakan dalam penelitian ini adalah data Weight in Motion (WIM) di beberapa ruas jalan provinsi di wilayah Jawa Timur. Untuk membuktikan kebenaran hipotesa digunakan metode analisis uji hipotesis rata-rata independen. Dari hasilĀ  uji rata-rata tersebut disimpulkan bahwa terdapat perbedaan nilai distribusi hasil penelitian dengan Bina Marga yang berpengaruh terhadap nilai EAL. Perbedaan nilai EAL akibat kelebihan muatan bervariasi antara 3,40 kali sampai dengan 3,49 kali lebih besar dari muatan standar. Hal tersebut dapat mempengaruhi perencanaan perkerasan lentur, sehingga menyebabkan kinerja perkerasan kurang optimal dan mengalami kerusakan dini.
ANALYSIS OF DETERMINING PRIORITY OF ROAD HANDLING PROGRAM IN THE REGION OF KEDIRI ROAD AND BRIDGE MANAGEMENT DEPARTMENT OF HIGHWAYS EAST JAVA PROVINCE USING MULTI CRITERIA ANALYSIS (MCA) METHOD Haniffan Daruquthni Baihaqi; Catur Arif Prastyanto
Journal of Civil Engineering Vol 38, No 1 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v38i1.15972

Abstract

Steady road conditions determine the smooth running of land transportation to support economic activity. To achieve steady road conditions requires a good road management program. The government, through the agencies appointed as road administrators, needs funds to maintain the stability of the road itself. The process of budgeting funds for the implementation of the road through a process of proposals, discussions and determination of the budget. Determining the priority of the proposal requires a long discussion. The Provincial Government of East Java through the Department of Public Works of Highways has an important role in the process of handling provincial roads. Budget limitations, both Regular APBD funds and special allocation funds and other funds, create a distinct challenge for road administrators in determining an effective and optimal road management program. Based on previous research studies, priority determination of road handling can be carried out using Multi Criteria Analysis (MCA). Priority determination criteria used in this study are technical criteria which include: existing traffic conditions, road stability conditions, degree of saturation, travel speed, and travel time; financial and economic criteria which include: BOK, Time Value, BCR, and NPV. In this study it will be seen based on the results of prioritized maintenance handling found at Link 176 Kediri - Blitar City Boundary for LHR technical criteria has a difference in value of 3,190 cur/hour, with an average road condition of 27.12%, difference in degree of saturation of 0.346, the difference in travel speed is 3.409 km/hour, the difference in travel time is 3.661 minutes and for economic criteria BOK has a difference in value of Rp. 8,662,656,168, the difference in the BCR value is 0.60 and the difference in the NPV value is -Rp. 8,382,143,904.
SELECTION ANALYSIS OF ROAD MAINTENANCE METHODS BETWEEN THE USE OF SLURRY SEALS AND SPOT LEVELLING FROM SERVICE LIFE AND CONSTRUCTION COSTS ASPECTS Utomo, Tri Cahyo; Prastyanto, Catur Arif
Journal of Civil Engineering Vol 38, No 2 (2023)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20861206.v38i2.18196

Abstract

On national roads (arterial roads) whose LHR conditions should be the same or tend to be higher than provincial roads (collector roads) still often use slurry seals for handling to protect the asphalt layer from disintegration, cracking and reduced skid factor on the road. In fact, in its implementation on provincial roads, the lifespan of spot leveling works tends to have a much longer service life than slurry seals which tend to be damaged during the same fiscal year. This is certainly a contradictory conclusion between the two methods applied, namely on provincial roads with LHR tend to be lower than national roads using spot leveling treatment which has a longer lifespan, while on national roads it is the other way around. With the above problems, it is necessary to do further research on the factors that underlie the selection of the method, the service life of the results of the handling is compared to the construction costs incurred. The research method was carried out using LHR data to determine the condition of traffic loads on each segment of the segment, survey road conditions to determine the percentage of damage and the remaining service life of slurry seals and spot leveling, and compared with construction costs. The CESA value or traffic load characteristics affect the service life of the slurry seal, with a service life gap of 2.08 years and handling cost of Rp. 12,949.29 per square meter per year. Drainage conditions also influence the service life of the slurry seal, with a service life gap of 1.32 years and handling cost of Rp. 8,097 per square meter per year. Sidewalk conditions impact the service life of the slurry seal as well, with a service life gap of 0.52 years and handling cost of Rp. 4,688.39 per square meter per year. Based on the data on the service life gaps and handling costs, the most influential factor on the service life and duration of the slurry seal is the CESA condition on the road segment where the slurry seal is applied.
Prediksi Nilai Track Quality Index (TQI) Berdasarkan Data Frekuensi dan Beban Lalu Lintas untuk Lebar Sepur 1067 Arisma Havino Wantana; Hera Widyastuti; Catur Arif Prastyanto
Jurnal Penelitian Transportasi Darat Vol. 22 No. 2 (2020): Jurnal Penelitian Transportasi Darat
Publisher : Sekretariat Badan Kebijakan Transportasi, Formerly by Puslitbang Transportasi Laut, Sungai, Danau, dan Penyeberangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25104/jptd.v22i2.1590

Abstract

ABSTRACTTrack Quality Index (TQI) Value Prediction Based on Frequency Data and Traffic Load for 1067 Track Gauge: Track Quality Index (TQI) is an output from a measurement train. The higher TQI value indicates the higher level of railroad damage. The government has limitations to get the TQI value due to the limited number of measuring trains that are owned. Therefore, an alternative is needed to predict TQI values so that the safety aspect is guaranteed. To predict the TQI value on the width of the rail 1067 mm, a statistical regression analysis method was used. The variables used are TQI Parameters (Y) value, traffic frequency (X1) and traffic load (X2). Based on analysis, the form of the equations to predict the value of TQI parameters are YPert = 1,00.10-5 X1 + 1,47.10-7 X2 + 3,58; YAng = 2.08.10-5 X1 + 1.62.10-7 X2 + 3.77; YListr = 1,07.10-5 X1 + 1,60.10-7 X2 + 1,75; YLbspr = 1.76.10-5 X1 + 1.36.10-7 X2 + 0.32. The magnitude of the frequency and traffic load values in the TQI value categories are 10,230 train/yr and 11,524,169 tons/yr in categories 1, 17,050 train/yr and 19,206,948 tons/yr in category 2, 27,280 train /yr and 30,731,117 tons/yr in category 3 as well as more than 27,280 train/yr and 30,731,117 tons/yr in category 4.Keywords: track quality index; safety; regresion; equations.ABSTRAKTrack Quality Index (TQI) adalah output dari kereta ukur. Semakin tinggi nilai TQI, tingkat kerusakan jalan rel semakin parah. Pemerintah memiliki keterbatasan untuk mendapatkan nilai TQI karena terbatasnya jumlah kereta ukur yang dimiliki. Oleh karena itu, diperlukan alternatif untuk memprediksi nilai TQI sehingga aspek keselamatan terjamin. Untuk memprediksi nilai TQI pada lebar rel 1067 mm, digunakan metode analisis regresi. Variabel yang digunakan adalah nilai Parameter TQI (Y), frekuensi lalu lintas (X1) dan beban lalu lintas (X2). Berdasarkan hasil analisis, bentuk persamaan untuk memprediksi nilai parameter TQI adalah YPert = 1,00.10-5 X1 + 1,47.10-7 X2 + 3,58; YAngkt = 2.08.10-5 X1 + 1.62.10-7 X2 + 3.77; YListr = 1,07.10-5 X1 + 1,60.10-7 X2 + 1,75; YLbspr = 1.76.10-5 X1 + 1.36.10-7 X2 + 0.32. Besarnya frekuensi dan nilai beban lalu lintas dalam kategori nilai TQI adalah 10.230 kereta/tahun dan 11.524.169 ton/tahun pada kategori 1, 17.050 kereta/tahun dan 19.206.948 ton/tahun pada kategori 2, 27.280 kereta/tahun dan 30.731.117 ton/tahun pada kategori 3 serta lebih dari 27.280 kereta/tahun dan 30.731.117 ton/tahun pada kategori 4.Kata Kunci: track quality index; keselamatan; regresi; persamaan