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All Journal Jurnal Darma Agung
Reny Febiani
Universitas Widyatama, Bandung
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Social Sciences

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BANKRUPTCY PREDICTION ANALYSIS USING GROVER METHODS, SPRINGATE, ZMIJEWSKI SUB SECTOR HOTEL, RESTAURANT, TOURISM IMPACT OF THE COVID-19 PANDEMIC Reny Febiani; Dede Hertina
Jurnal Darma Agung Vol 30 No 2 (2022): AGUSTUS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Darma Agung (LPPM_UDA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46930/ojsuda.v30i2.2365

Abstract

This study aims to: (1) analyze bankruptcy predictions using the grover, springate and zmijewski methods in the hotel, restaurant and tourism sub-sectors listed on the Indonesia Stock Exchange as the impact of the 2020-2021 Covid-19 pandemic, (2) analyze the differences between the methods Grover, Springate, and Zmijewski in predicting bankruptcy. The population of this study was 35 companies with a sample of 28 companies. The research method used in this study is quantitative with a descriptive approach and performs a non-parametric test using the Kruskal Wallis test to find differences between the three methods used. The results of the Kruskal Wallis test showed that there was a significant difference between the grover, springate and zmijewski methods in predicting bankruptcy and the most accurate method was the zmijewski method with an accuracy rate of 85.72% and an error of 14.28%.
Co-Authors Dede Hertina