| dc.description.abstract | The company is an organization whose main goal is to get the maximum
possible profit by reducing excessive production costs, but to get it there are
certainly many obstacles faced by the company, both external and internal
constraints. The capital structure of plantation companies is an important thing to
study, because it has its own uniqueness when compared to other corporate sectors,
where in the plantation sector the capital structure comes from debt or loans in the
form of Investment Credit (IC) obtained from banks or other financial institutions.
If the company continues to experience a decline in profits, a company will soon
experience financial difficulties or financial distress. This study aims to predict and
analyze how the financial distress of companies in the plantation sector are listed
on the Indonesia Stock Exchange in 2018-2021 using the Altman modified Z-Score,
Springate, Zmijewski and Grover method and to find out how the paired sample t test comparison analysis technique in testing the accuracy of financial distress
predictions in the modified Z-Score Altman method, Springate, Zmijewski and
Grover in plantation sector companies listed on the Indonesia Stock Exchange for
2018-2021. The data analysis method used was Altman's modified Z-Score,
Springate, Zmijewski, Grover, and paired sample t-test. Based on the results of
assessing financial distress, the most accurate method for predicting financial
distress in plantation sector companies listed on the Indonesia Stock Exchange is
the Springate method with the highest accuracy rate of 85.00%, then the Altman Z Score method with an accuracy rate of 57. 50%, the Grover method with an
accuracy rate of 38.75% and Zmijewski with an accuracy rate of 17.50% | en_US |
