Please use this identifier to cite or link to this item: https://repository.unej.ac.id/xmlui/handle/123456789/65116
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPuspitasari, Novi-
dc.contributor.authorParamu, Hadi-
dc.contributor.authorMarcelinda, Sheilly Olivia-
dc.date.accessioned2015-11-30T07:23:50Z-
dc.date.available2015-11-30T07:23:50Z-
dc.date.issued2015-11-30-
dc.identifier.urihttp://repository.unej.ac.id/handle/123456789/65116-
dc.descriptione-Journal Ekonomi Bisnis dan Akuntansi, 2014, Volume 1 (1) : 1-3en_US
dc.description.abstractThis research aimed to analyse the accuracy of the Altman Z -Score bankruptcy prediction model using auditor's opinion in companies listed in Indonesia Stock Exchange. The data used in this study were secondary data obtained from the annual financial statements of manufacturing firms during 2010-2012. Selected companies listed in Indonesia Stock Exchange in 2010-2012 and having the independent auditors' report were used as a sample. The analytical method used was Altman Z -Score model and comparation between the Altman Z -Score and the auditor's opinion . Results of this study showed that the percentage of accuracy of models modified Altman Z -Score 27.96 % . It can be concluded that Altman Z -Score bankruptcy prediction model has a low level of accuracy in predicting bankruptcy of companies listed on the Indonesia Stock Exchange 2010-2012en_US
dc.language.isoiden_US
dc.subjectAltman Z-Scoreen_US
dc.subjectAccuracyen_US
dc.subjectAuditor's Opinionen_US
dc.subjectBankcruptcyen_US
dc.titleAnalisis Akurasi Prediksi Kebangkrutan Model Altman Z-Score pada Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia (Analysis on the Accuracy of Altman Z-Score Bankruptcy Prediction Model in Manufacturing Companies Listed in Indonesia Stock Exchange)en_US
dc.typeArticleen_US
Appears in Collections:LSP-Article In Journal

Files in This Item:
File Description SizeFormat 
ipi149390.pdf246.12 kBAdobe PDFView/Open
Journal Info.doc37.5 kBMicrosoft WordView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.