Prediksi Financial Distress pada Perusahaan Manufaktur Sub Sektor Industri Barang Konsumsi di Bursa Efek Indonesia Tahun 2015-2017
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Institusion

Universitas Sumatera Utara

Author

Aritonang, Ermi Dianta

Subject

Financial Distress 

Datestamp

2018-12-21 03:24:03 

Abstract :
This study aims to find out and analyze to prove and test differences in health status results between the Altman Z-Score, Springate, Zmijewski, Grover and Fachrudin.Prediction models in the Consumer Goods Manufacturing Industry for the 2015-2017 period. Samples were taken by purposive sampling method. Of the 37 listed companies, there are 31 companies that meet the criteria. Data collection techniques by collecting the required information from the company's financial statements downloaded from www.idx.co.id. The data analysis technique used is Multiple Discriminant Analysis. The hypothesis test using the Kruskal Wallis H Test and Accuracy Test. The results of this study indicate that there are differences between the Altman Z-Score, Springate, Zmijewski, Grover, and Fachrudin methods in predicting corporate bankruptcy. This can be seen from the probability value of all methods smaller than 0.05, which is 0.00. Accuracy test shows the methods of Altman, Springate, Zmijewski, Grover and Fachrudin have different accuracy levels, namely 83.87%, 98.92%, 97.85%, and 92.47% respectively. The high level of accuracy obtained by the Zmijewski, and Grover methods is 98.92% and 97.85%, respectively. This means that the Zmijewski method is more recommended for companies or investors in assessing the financial condition of manufacturing companies to make decisions. The conclusion is that there are differences between the Altman Z-Score, Springate, Zmijewski, Grover, and Fachrudin methods. And the highest accuracy prediction method is Zmijewski and Fachrudin method.