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All Journal Jurnal Optimasi Sistem Industri Teknika: Engineering and Sains Journal SAINTEK: Jurnal ilmiah Sains dan Teknologi Industri Jurnal Ilmiah Padma Sri Kreshna Diseminasi : Jurnal Pengabdian kepada Masyarakat Jurnal Rekayasa Industri (JRI) IEJST (Industrial Engineering Journal of the University of Sarjanawiyata Tamansiswa) Prosiding Seminar Nasional Program Pengabdian Masyarakat Journal of Industrial Engineering and Halal Industries
Masrul Indrayana
Fakultas Sains Dan Teknologi, Program Studi Teknik Industri, Universitas Widya Mataram
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Social Sciences

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Journal : Jurnal Optimasi Sistem Industri

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Penentuan Jumlah Kendaraan Transjogja Dengan Metode Simulasi Masrul Indrayana
Jurnal Optimasi Sistem Industri Vol. 9 No. 2 (2010): Published in 1st October 2010
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (169.165 KB) | DOI: 10.25077/josi.v9.n2.p53-58.2010

Abstract

Improving the public service, Yogyakarta city government formally operate a new transportation system "transjogja" The trial results using transjogja produce different responses from the public. Some passengers complained about the time interval between the arrival of a very old bus. Interarrival time of buses at a bus stop is badly affected by the path length and number of stops that serve the fleet. It is also closely related to factor profitable and density / number of passengers in the bus stop / path. It required a study to determine the number of bus fleet for each path without increasing the risk and investment failures. The assessment can be done with the help of simulation methodology. Based on these studies have been done on Route 2B and assistance Arena Software, acquired three service models to choose from a fleet of 4 units per hour with maximum queuing time of 7.6196 minutes, 3 units of the fleet per hour with a maximum queuing time of 10.4605 and 2 units fleet per hour with maximum queuing time of 17.1047. Keywords: Transjogja, Profitable, queue, simulation
Co-Authors Agus Priyanto Al Basith Amalia Mei Dwitasari Ambar Rukmini Basith, Al Dutho Suh Utomo Dwitasari, Amalia Mei Ilmardani Rince Ramli Ilmardani Rince Ramli Jono Jono Jono Jono Jono Jono Jono, Jono Kelik Fajar Kusuma Kurniyati Nany Noor Oktiva Anggraini Ramli, Ilmardani Rince Supriyanta Supriyanta Yuliana Endah Widyaningsih