Analisis Perbandingan Prediksi Kebangkrutan Pada Perusahaan Pertambangan Yang Terdaftar Di Bursa Efek Indonesia

Abstract

Bankruptcy is a condition that would never be expected by all companies because the company is expected to maintain its survival and maintain the company. There are many parties who will be harmed if the company goes bankrupt, therefore we need a bankruptcy prediction model that can be a warning to the company. This study aims to determine whether there are differences in the Altman model, the Springate model, the Zmijewski model, and the Grover model and to determine the most accurate bankruptcy prediction models. The data used in this study is in the form of financial statements published through the Indonesia Stock Exchange. The population in this study are mining companies listed on the Indonesia Stock Exchange in 2012-2018. The sampling technique uses purposive sampling so we get 8 companies that are used as research samples. Data analysis techniques used independent sample t-test with the SPSS program and the accuracy of the prediction model test using the Microsoft Excel program. The conclusion from this study shows that there are significant differences between the Altman model, the Springate model, the Zmijewski model, and also the Grover model in predicting bankruptcy. The most accurate prediction model was achieved by the Springate model with an accuracy rate of 71.43%, then the Grover model which had an accuracy rate of 62.50%, then the Altman model 60.71%, and finally the Zmijewski model with the lowest accuracy level of 50%