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All Journal JURNAL KARYA TEKNIK SIPIL
Ismiyati Ismiyati
Departemen Teknik Sipil FT. UNDIP JL. Prof. H. Soedarto SH., Tembalang, Semarang 50275
Civil Engineering, Building, Construction & Architecture

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ANALISIS EFEKTIVITAS RUANG HENTI KHUSUS SEPEDA MOTOR PADA SIMPANG BERSINYAL DI KOTA SEMARANG Reska Ayu Yuniar M.; Raisha El Kahira; Ismiyati Ismiyati; Bagus Hario Setiadji
Jurnal Karya Teknik Sipil Volume 5, Nomor 2, Tahun 2016
Publisher : Departemen Teknik Sipil, Fakultas Teknik Universitas Diponegoro

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Based on WHO research in 2010 shows growth of motorcycles in Indonesia reached 60 million units with proportion of 83% compared to other vehicle types (Helmi, 2015). Motorcycles are the smallest vehicle that has the mobility and maneuverability of high movement. At the time of the green phase, motorcycles struggling to get out from the intersection and continue the journey. The movement of motorcycle can cause conflict with the car or with other motorcycles. Studies conducted by M. Idris in Bandung in 2007 produced Advanced Stop Lines (ASL) for motorcycles can reduce traffic conflicts up to 72% and 11-12% streamlined of traffic flow (Faundra, 2012). The purpose of this research was to analyze the effectiveness of the Advanced Stop Lines (ASL) for motorcycles at the intersection with different characteristics in Semarang. The parameters used in this research are existing conditions, real conditions, the percentage of occupancy ASL, and hypothesis testing comparison. The research method is done by simulating ASL in three arms at signalized intersections in Semarang. Hypothesis test comparison is done by using the hypothesis H0 if the volume of vehicles before they are applied equally to the post applied ASL. The results of this study can be concluded that based on the hypothesis test comparison there is only one research location hypothesis is accepted. ASL for three research locations affect the number of vehicle volume, long queues, and Degree of Saturation. ASL has not seen optimal of the three research locations. It because of geometry conditions are different on three research location , improper lane width, the existence of the island roads, and a left turn on red lane. To be more optimal use of ASL should refers to the rules applicable at the selection of sites that will be imposed ASL.
ANALISIS KARAKTERISTIK VOLUME LALU LINTAS DI JALAN TOL SEMARANG Mauren Ninata Shiky; Ronald Jeferson Simbolon; Ismiyati Ismiyati; Epf. Eko Yuliproyono
Jurnal Karya Teknik Sipil Volume 5, Nomor 2, Tahun 2016
Publisher : Departemen Teknik Sipil, Fakultas Teknik Universitas Diponegoro

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Abstract

Developing facilities and infrastructures on the highway in the form of planning, operational designing, and research need the value of Annual Average Daily Traffic (AADT) is a very important factor, necessary survey traffic volume for one year by a collector's gate toll, (365 days) will be a need of time and cost, so, to predict AADT is used data traffic of previous year.Secondary data obtained from the permanent counter PT. Jasamarga (Persero). Tbk Semarang AADT 2013 and 2014 at the toll gate section A (Manyaran-Jatingaleh), section B (Jatingaleh-Tembalang), and section C (Jatingaleh-Muktiharjo) Data Analysed good for obtaining characteristic and to predict value AADT with expansion factor. Based on analysis the characteristic at Semarang tollway, hourly traffic pattern increasing at busy hours and single peak hour 6% from ADT. Daily traffic pattern increasing active day around 12-16% and decreasing at weekend around 4% and the annual traffic pattern of urban variation behavior with different needs of individual route in mobility and the value of hourly expansion factor for section A 16,98-52,44,section B 15,99-76,46 and section C 16,21-69,44, daily expansion factor section A 6,63-7,95, section B 3,75-4,21 and section C 6,61-7,97 ,monthly expansion factor section A 0,83-1,081,section B 0,55-1,18 and section C 0,82-1,068 with confidence level 68,7%. applicable to next year AADT predictions.
Co-Authors Bagus Hario Setiadji Epf. Eko Yuliproyono Mauren Ninata Shiky Raisha El Kahira Reska Ayu Yuniar M. Ronald Jeferson Simbolon