| dc.contributor.author | Agus, Supratman | |
| dc.date.accessioned | 2013-05-17T09:31:38Z | |
| dc.date.available | 2013-05-17T09:31:38Z | |
| dc.date.issued | 2013-03 | |
| dc.identifier.citation | Andreassen D. 1985. Linking deaths with vehicles and population. Traffic Engineering and Control 26(11): 547-549. Asian Development Bank (ADB). 2005. Asean Regional Road Safety Strategy and Action Plan 2005-2010. Publication No, 071105, Manila. Badan Pusat Statistik Provinsi Jawa Barat. 2008. 2009. 2010. 2011. Jawa Barat Dalam Angka Berita Negara RI Nomor 587. 2010. Peraturan Menteri Pekerjaan Umum Nomor 14/Tentang Standar Pelayanan Minimal Bidang Pekerjaan Umum dan Penataan Ruang. Departemen Perhubungan RI. 2004. Masterplan Transportasi Darat, Laporan Antara. PT Arsiona Bangun Prima, Jakarta. Dinas Kementerian Pekerjaan Umum, Direktorat Bina Marga Provinsi Jawa Barat. 2010. Peta Jaringan Jalan Nasional dan Provinsi di Jawa Barat. Direktorat Keselamatan Transportasi Darat. 2008. Profil Kinerja Keselamatan Transportasi Darat. Direktorat Jenderal Perhubungan Darat, Departemen Perhubungan, Jakarta Haykin, S. 1999. Neural Networks: A Comprehensive Foundation. 2 nd Edition. New Jersey: Prentice Hall Incorporation. Hobbs FD. 1995. Prencanaan dan Teknik Lalu lintas. Edisi kedua. Gajah Mada University Press IRTAD.1998. Definitions and Data Availabbility. Special Report. OECD-RTR, BASt, Gladbach, Germany. Kemeterian Perhubungan RI. 2008. 2009. 2010. 2011. Perhubungan Darat dalam Angka. Keputusan Menteri Kesehatan RI Nomor 828/Menkes/SK/IX /2008, tentang Petunjuk Teknis Standar Pelayanan minimal Bidang Kesehatan di Kabupaten/Kota Kepolisian Negara RI. 2010. Standar Operasional dan Prosedur (SOP) Penanganan Kecelakaan Lalu lintas Jalan. Badan Pembinaan Keamanan POLRI, Direktorat Lalu lintas. Kurner Nachtsheim Neter. 2004. Applied Linear Regression Models. Fourth edition. Mc Graw-Hill. New York, USA Lembaran Negara RI Nomor 96 tahun 2009. Undang-undang Nomor 22 tahun 2009 tentang Lalu lintas dan Angkutan Jalan Lembanran Negara RI Nomor 153 tahun 2009. Undang-undang Nomor 44 tahun 2009 tentang Rumah Sakit. Sekretariat Negara RI . Biro Peraturan Perundang-undangan Bidang Politik dan Kesejahteraan Rakyat. Masyarakat Transportasi Indonesia (MTI), 2007. 1-2 -3 langkah, Referensi ringkas bagi proses Advokasi Pembangunan Transportasi. Volume 2, Jakarta. Williams and L,Yan. 2008. “A Case Study Using Neural Network Algorithms: Horse Racing Prediction in Jamaica“. In International Conf. on Artificial intelellgence (ICAI”08), Las Vegas. World Health Organization (WHO). 2009. Regional Report on Status of Road Safety: The South-East Asia Region. | en_US |
| dc.identifier.issn | 19074026 | |
| dc.identifier.uri | http://hdl.handle.net/11617/3049 | |
| dc.description.abstract | n Indonesia, data of fatality is not known with certainty. In ASEAN, Indonesia has the largest of
area, the largest of population, the longest of road infrastructure, and the highest number of vehicles,
but road victims‟ fatality is low. Data reported by Indonesian state police are the victims at the
scene, has not completed the data from hospital. A lot of estimated fatality data has not been
recorded and reported. Such data is not fit for use in the study of road safety. In many countries, the
researchers only used Andreassen model with two variable input data to predict the actual number of
fatality, which are the population and number of vehicles. This model is not in accordance with the
conditions in Indonesia, so that the new model with multivariable is required which suits Indonesia‟s
conditions. The purpose of this study is to determine the predictions number of fatalities factual with
multiple variables by considering the characteristics of the population density/km2 in West Java,
using Artificial Neural Network (ANN) predictive models. After obtained the validation testing with
error model test, the number of factual predictions fatality in 2010 was 1546 people, more than 94%
from the police data which are 797 people, or 20.1% more than the police data with the fatality
amount at the hospital. | en_US |
| dc.publisher | Magister Teknik Sipil UMS | en_US |
| dc.subject | fatality prediction study | en_US |
| dc.subject | multivariable | en_US |
| dc.subject | Artificial Neural Network (ANN) model | en_US |
| dc.title | FATALITY PREDICTION STUDY OF ROAD VICTIMS’ WITH MULTI VARIABLE BASED ON POPULATION DENSITY IN WEST JAVA PROVINCE | en_US |
