COMPARISON OF FINANCIAL DISTRESS ANALYSIS USING THE “Z” SCORE MODIFICATION, X-SCORE, G-SCORE AND S-SCORE MODELS TO ANALYZE THE ACCURACY OF THE BANKRUPTCY PREDICTION IN THE MINING INDUSTRY PERIOD OF 2016 – 2018

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dc.contributor.authorWinarso, Eddy
dc.contributor.authorKusumah, R. Wedi Rusmawan
dc.contributor.authorKartadjumena, Eriana
dc.contributor.authorSherlita, Erly
dc.contributor.authorSukmawati, Fitri
dc.date.accessioned2021-02-08T05:10:14Z
dc.date.available2021-02-08T05:10:14Z
dc.date.issued2020
dc.description.abstractCoal mining companies in Indonesia have a high business risk because most of the production is exported abroad, especially in China and India. The quality of coal in Indonesia is in the low category because it only produces 5,100 to 5,100 cal / gram. With fluctuations in world prices and unstable demand resulting in fluctuations in profits resulting in disrupted company performance, thus experiencing financial distress. In this study the researchers chose a coal mining company because of the number of companies listed in the stock exchange with 24 companies and 4 of them did not announce their annual reports continuously so that the companies studied were 20 companies from 2016 to 2018 company financial statement data which were processed using the analysis model financial distress revealed by (1) Z "Altman Modification score, (2) X score from Zmijewski, (3) Model G - Score from Grover, and (4) S - score from Grover to analyze the accuracy of bankruptcy predictions. The results show that (1) There are differences in the Accuracy of Bankruptcy Prediction between the Modified Z ”-Score Altman Model and the Springate S-Score Model for coal mining companies listed on the Stock Exchange in the 2016-2018 period. (2) There is a difference in the Accuracy of Bankruptcy Prediction between the Modified Z ”-Score Altman Model and the Zmijewski X-Score on coal mining companies listed on the Stock Exchange in the 2016-2018 period. (3) There is a difference in the Accuracy of Bankruptcy Prediction between the Modified Z ”- Score Altman Model and the Grover G-Score Model for coal mining companies listed on the Stock Exchange in the 2016-2018 period. (4) There is a difference in the Accuracy of Bankruptcy Prediction between the Springate S-Score Model and the Zmijewski X-Score in the coal mining companies listed on the Stock Exchange in the 2016-2018 period. (5) There is a difference in the Accuracy of Bankruptcy Prediction between the S-Score Springate Model and the Grover G-Score Model in coal mining companies listed on the Stock Exchange in the 2016-2018 period. (6) There is a difference in the Accuracy of Bankruptcy Prediction between Zmijewski's X-Score Model and Grover's GScore Model in coal mining companies listed on the Stock Exchange in the 2016-2018 period.en_US
dc.identifier.issn1475-7192
dc.identifier.urihttp://repository.widyatama.ac.id/xmlui/handle/123456789/12208
dc.language.isoenen_US
dc.publisherInternational Journal of Psychosocial Rehabilitation, Vol.24, Issue 02en_US
dc.subjectCoalen_US
dc.subjectFinancial Distressen_US
dc.subjectBankruptcyen_US
dc.subjectModel Z Scoreen_US
dc.subjectModel X Scoreen_US
dc.subjectModel G Scoreen_US
dc.subjectModel S Scoreen_US
dc.titleCOMPARISON OF FINANCIAL DISTRESS ANALYSIS USING THE “Z” SCORE MODIFICATION, X-SCORE, G-SCORE AND S-SCORE MODELS TO ANALYZE THE ACCURACY OF THE BANKRUPTCY PREDICTION IN THE MINING INDUSTRY PERIOD OF 2016 – 2018en_US
dc.typeArticleen_US
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