Lokasi: An Opinion Anomaly Detection Using K-Nearest Neighbours on Public Sector Financial Reports

Main Authors:	Arianto, Ahmad Dwi; Department of Electrical Engineering, Faculty of Electrical Technology, Institut Teknologi Sepuluh Nopember (ITS), Kampus ITS Sukolilo, Surabaya 60111, Indonesia., Affandi, Achmad; Department of Electrical Engineering, Faculty of Electrical Technology, Institut Teknologi Sepuluh Nopember (ITS), Kampus ITS Sukolilo, Surabaya 60111, Indonesia., Nugroho, Supeno Mardi Susiki; Department of Electrical Engineering, Faculty of Electrical Technology, Institut Teknologi Sepuluh Nopember (ITS), Kampus ITS Sukolilo, Surabaya 60111, Indonesia.
Format:	Article info application/pdf eJournal
Bahasa:	eng
Terbitan:	Institut Teknologi Sepuluh Nopember , 2018
Subjects:	Financial statement KNN Opinion anomaly detection Public sector
Online Access:	http://iptek.its.ac.id/index.php/jps/article/view/3498 http://iptek.its.ac.id/index.php/jps/article/view/3498/2697

Koleksi	IPTEK Journal of Proceedings Series
Gedung	Perpustakaan Institut Teknologi Sepuluh November
Institusi	Institut Teknologi Sepuluh November
Kota	KOTA SURABAYA
Provinsi	JAWA TIMUR
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