PREDIKSI KEBANGKRUTAN DENGAN MENGGUNAKAN METODE Z-SC0RE ALTMAN PADA PERUSAHAAN PERTAMBANGAN BATUBARA GO PUBLIC

Abstract

This research aimed to predict bankruptcy using Altman Z-Score on the charcoal milling companies which go public and were listed on the Indonesia Stock Exchange during 2015-2019. Furthermore, the independent variables were net working capital to total asset, retained earnings to total assets, earnings before interest and tax to total assets, market value of equity to book value of total liabilities, sales to total assets. While the dependent variable was bankruptcy. The research was quantitative. Moreover, the population was coal mining companies listed on the Indonesia Stock Exchange (IDX) during 2015-2019. The data collection technique used purposive sampling, in which the sample was based on determined criteria. In line with that, there were 19 companies as the sample. The data analysis technique used multiple linear regression with SPSS 25. Additionally, the result of the F test showed that all of the independent variables were properly to be used. In addition, the research result indicated that net working capital to total asset, retained earnings to total assets, earnings before interest and tax to total assets, market value of equity to book value of total liabilities, sales to total assets had a positive and significant effect on the bankruptcy prediction.