Web-GIS Application using
Multi-Attribute Utility Theory to classify Accident-Prone Roads
by Anik Vega
Submission date: 22-Sep-2021 09:25PM (UTC-0500) Submission ID: 1655221381
File name: ti-Attribute_Utility_Theory_to_classify_Accident-Prone_Roads.pdf (1.71M)
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ORIGINALITY REPORT
PRIMARY SOURCES
Anik Vega Vitianingsih, Dwi Cahyono.
"Geographical Information System for mapping accident-prone roads and development of new road using Multi- Attribute Utility method", 2016 2nd
International Conference on Science and Technology-Computer (ICST), 2016
Publication
www.icesti.org
Internet Source
Anik Vega Vitianingsih, Dwi Cahyono, Achmad Choiron. "Analysis and design of web-
geographic information system for tropical diseases-prone areas: A case study of East Java Province, Indonesia", 2017 4th
International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE), 2017
Publication
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%sintadev.ristekdikti.go.id
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www.nat-hazards-earth-syst-sci.net
Internet Source
Anik Vega Vitianingsih, Nanna Suryana,
Zahriah Othman. "Spatial analysis model for traffic accident-prone roads classification: a proposed framework", IAES International Journal of Artificial Intelligence (IJ-AI), 2021
Publication
repository.dkut.ac.ke:8080
Internet Source
www.ingentaconnect.com
Internet Source
Hari Minantyo, Alexander Hariohoedojo, Prasetyon Sepsi Winarno. "Organoleptic
testing of fish meatball fortified with various colored vegetables", AIP Publishing, 2017
Publication
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sri.jkuat.ac.ke
Internet Source
repository.petra.ac.id
Internet Source
R. D. Mateescu, A. Spinu, L. Buga, D.
Niculescu, E. Mihailov, E. Vlasceanu. "Remote sensing applications for the ecosystem-based management process implementation in the Romanian Black Sea Coastal Zone", 2014 IEEE/OES Baltic International Symposium (BALTIC), 2014
Publication
journal.utem.edu.my
Internet Source
Communications in Computer and Information Science, 2015.
Publication
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