Insolvency Forecasting using model Altman Z-Score dan Springate Score Analysis

Abstract

This study aims to determine the level of company bankruptcy by using the Altman Z-Score and Springate Score model analysis on coal mining companies listed on the Indonesia Stock Exchange because Coal Mining Companies have many roles in the Indonesian Economy. The data used in this study is the annual financial report found in the Indonesian Capital Market Directory. The analysis technique used is a discriminant analysis using variables from the Altman Z-Score, which totals four financial ratios, namely Working Capital to Total Assets, Retained Assets to Total Assets, Earning Before Interest and Tax to Total Assets and Total Equity to Total Liabilities. This study also uses variables from the Springate Score: four financial ratios, namely Working Capital to Total Assets, Earning Before Interest and Tax to Total Assets Earning Before Tax to Current Liabilities Sales to Total Assets. The study results show that the financial statements of coal mining companies listed on the Indonesia Stock Exchange can be used to predict and save the company from possible bankruptcy with the Altman discriminant model and the Springate Score.