Comparative The Accuracy Level Analysis of Altman Z-Score, Zmijewski, and Tafller in Indonesian Airline Industry
Birra Lailatul Nafiisa*, Nurafni Eltivia, Sigit Budisantoso

Department of Accounting, State Polytechnic of Malang,
Jl. Soekarno Hatta No.9, Malang 65141, Indonesia
*birranafiisa[at]gmail.com, nurafni.eltivia[at]polinema.ac.id, budisantososigit930[at]gmail.com

Abstract

This study was conducted to find out the most accurate bankruptcy prediction model for Indonesian airline industry 2017-2020 in the IDX. The research object is Indonesian Airline Industry. This is comparative research. The data used is secondary data from financial statements audited. 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 Zmijewski is the most significant model with an accuracy rate of 100%.

Keywords: accuracy rate, bankruptcy prediction model, financial statement

Topic: Finance