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Jurnal Transportasi
Published by Universitas Katolik Parahyangan
ISSN : 14112442     EISSN : 26151146     DOI : -
Core Subject : Engineering,
Transportation
Jurnal Transportasi adalah jurnal ilmiah di bidang ilmu transportasi yang diterbitkan tiga kali setahun oleh Forum Studi Transportasi antar-Perguruan Tinggi (FSTPT). Makalah-makalah yang dimuat di jurnal ini merupakan makalah-makalah terbaik dari Simposium FSTPT yang diadakan setiap tahun. Selain sebagai wadah komunikasi ilmiah, penerbitan Jurnal Transportasi juga bertujuan untuk menyebarluaskan hasil-hasil penelitian yang berkaitan dengan bidang ilmu transportasi. Jurnal Transportasi terakreditasi yang kedua kali berdasarkan Keputusan Direktur Jenderal Pendidikan Tinggi, Kementerian Pendidikan Nasional Republik Indonesia, Nomor 51/DIKTI/ Kep/2010 tanggal 5 Juli 2010.
Arjuna Subject : Umum - Umum
Articles 11 Documents
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Search results for , issue "Vol. 13 No. 3 (2013)" : 11 Documents clear
PENGEMBANGAN MODEL ANDREASSEN DAN ARTIFICIAL NEURAL NETWORKS MULTI VARIABEL UNTUK PREDIKSI FATALITAS LALULINTAS JALAN PADA WILAYAH PERKOTAAN DI JAWA BARAT Supratman Agus
Jurnal Transportasi Vol. 13 No. 3 (2013)
Publisher : Forum Studi Transportasi antar Perguruan Tinggi (FSTPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (411.654 KB) | DOI: 10.26593/jtrans.v13i3.1344.%p

Abstract

Law Number 22 Year 2009 stated that fatality data must be completed with data from hospitals. However, the data reported by the Police of the Republic of Indonesia has not been in accordance to the law. In many countries researchers have been using population and motor vehicles numbers as variables to predict the number of fatalities. Those variables are not fit with Indonesian condition. The main purpose of this study was to develop better fatality prediction model in line with Indonesian condition. This was done by developing multivariable Andreassen and ANN models. The model was built by using population data taken from 8 cities in West Java Province. The main results from model validation test are: (1) three variables ANN with one hidden layer prediction model was the best prediction used for predicting the number of fatalities, (2) the number of fatalities was 122.8% larger than that reported by the Police, and (3) Andreassen prediction model was unfit to be used in Indonesia.

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