PREDIKSI KEBANGKRUTAN PERUSAHAAN MINING AND MINING SERVICE DENGAN MODEL ALTMAN Z-SCORE MODIFIKASI, GROVER, SPRINGATE DAN ZMIJEWSKI

Aspects of bankruptcy is one of the aspects that must be continually observed by the top leadership of the company. Basically bankruptcy caused by the accumulation of errors in the long term management. Therefore, it takes a tool to detect potential bankruptcy that may be experienced companies. This is done as a form of early monitoring to anticipate and minimize the occurrence of bankruptcy in the company. Nowadays, various models have been widely used to predict bankruptcy. This study was conducted to determine the status of bankruptcy prediction on mining and mining service companies applying the Altman, Grover, Springate and Zmijewski models for company bankruptcy prediction as well as to determine the most accurate predictive of bankruptcy model. This research was carried out by selecting the mining and mining services company listed in Indonesia Stock Exchange for the period 2009 to 2013. This study used a descriptive approach by SPSS and Microsoft Excel program. The results showed that there were differences of the status of bankruptcy prediction models among the Altman Z-Score, Grover model, Springate model and Zmijewski model. The highest accuracy achieved by Grover and Zmijewski models followed by the Altman Z-score model and Springate model. This result suggested that bankruptcy prediction model can be used to predict the bankruptcy rate of mining and mining services company listed in Indonesia Stock Exchange. In addition, to the parties concerned by the company can use bankruptcy prediction methods in assessing the soundness of the company. Information on bankruptcy prediction can also be used by management to improve the company's financial performance. Each prediction of bankruptcy gives the percentage rate of bankruptcy that vary according to the financial data included in the calculation of each bankruptcy prediction model. Key words : Bankruptcy, Altman Model, Grover model, Springate model, Zmijewski model, Bankruptcy predictio