Analisis Perbandingan Model Altman Z-Score, Zmijewski, Springate, Grover, dan Zavgren dalam Memprediksi Kebangkrutan pada Perusahaan Sub Sektor Pariwisata, Restoran, dan Hotel yang Terdaftar di Bursa Efek Indonesia tahun 2019-2021

Abstract

The purpose of this study is to find out whether there are differences in the results of the analysis and to find out the most accurate predictive model in predicting bankruptcy. The population in this study are 46 companies in the tourism, restaurant and hotel sub-sector that are listed on the Indonesia Stock Exchange in 2019-2021. The sampling technique used purposive sampling so that there were 37 companies that were used as research samples. Secondary data collection is carried out through the official website of the Indonesian Stock Exchange and the official websites of related companies. The analytical method used is comparative descriptive with the help of SPSS version 26 software. The results obtained in this study indicate that there are significant differences between the Altman Z-Score, Zmijewski, Springate, Grover, and Zavgren models through the Kruskal-Wallis different test. The most accurate model for predicting bankruptcy in tourism, restaurant and hotel sub sector companies in 2019-2021 is the Zmijewski model with an accuracy rate of 94.59%, the second is the Grover model of 78.38%, the third is the Altman Z- score of 75.67%, the fourth is the Springate model of 72.97%, and the last is the Zavgren model of 18.92%.