Comparative Accuracy Level Analysis of Altman Z-Score, Zmijewski, and Tafller in

Birra Lailatul Nafiisa; Nurafni  Eltivia; Sigit  Budisantoso

Birra Lailatul Nafiisa Politeknik Negeri Malang
Nurafni Eltivia Politeknik Negeri Malang
Sigit Budisantoso Politeknik Negeri Malang

Keywords: accuracy rate, bankruptcy prediction model, financial statement

Abstract

ABSTRACT

This study was conducted to find out the most accurate bankruptcy prediction model for the Indonesian airline industry for 2017–2020 in the IDX. The research object is the Indonesian airline industry. This is comparative research. The data used is secondary data from audited financial statements. The data collection method is documentation. Saturation sampling is used to select the data. The data analysis technique used is multiple discriminant analysis. Results of this study indicate that Zmijewski is the most significant model, with an accuracy rate of 100%.