Ridawati Ridawati
School of Business Pelita Indonesia

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Analysis of Method Used to Predict Financial Distress Potential in Pulp and Paper Companies of Indonesia Fadrul Fadrul; Ridawati Ridawati
International Journal of Economics Development Research (IJEDR) Vol. 1 No. 1 (2020): International Journal of Economics Development Research
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (221.371 KB) | DOI: 10.37385/ijedr.v1i1.29

Abstract

This study aims to predict financial distress in pulp and paper companies in Indonesia. The data used are the financial statements of each pul and paper company listed on the Indonesia Stock Exchange in 2012-2017. Data analysis techniques used descriptive analysis with three methods of financial distress prediction, namely the Altman Z-Score, Springate, and Zmijewski methods. The results showed that the Zmijewski method is a prediction method with the highest accuracy rate of 100%, with an error type of 0%. The Altman Z-Score method has an accuracy rate of 28.6%, with an error type of 71.4%. While the Springate method has an accuracy rate of 14.3%, with an error type of 85.7%. Therefore an accurate prediction method to predict the potential for financial distress is the Zmijewski method.