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Analisis Perbandingan Dan Tingkat Akurasi Metode Altman Z-Score, Zmijewski, Springate Dan Grover Dalam Memprediksi Kebangkrutan Perusahaan Indah Putri Mulya; I Made Murjana; Irianto
Kredibel: Jurnal Ilmiah Manajemen Vol. 3 No. 1 (2024): Vol. 3 No. 1 Oktober 2024
Publisher : Lembaga Pengembangan, Penelitian dan Pengabdian Kepada Masyarakat (LP3M) Sekolah Tinggi Ilmu Ekonomi AMM (STIE AMM) Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53512/kredibel.v3i1.496

Abstract

Altman Z-score, Zmijewski, Springate and Grover are company bankruptcy prediction methods. This research aims to determine the comparative results and level of accuracy resulting from each bankcruptcy prediction method, namely the Altman Z-score, Zmijewski, Springate and Grover methods in banking companies State-Owned Enterprises listed on the Indonesia Stock Exchange for the 2017-2022 period. This research is a type of comparative research with a quantitative appproach. The analysis technique uses discriminantanalysis and a level of accuracy test is carried out. The population and sample in this research are 4 State-Owned Enterprise banking companies listed on the Stock Exchage Indoneian Effect. The research sample was determined using the Saturated Sampling method. The results of this study show that the Altman Z-score and Grover methods are the most accurate models with an accuracy rate of 100% and an error rate of 0%. The Zmijewski model foloows later with a low accuracy rate of 12.5% and an error rate of 87.5%. The lowest level of accuracy is owned by the Springate model, namely 0% and an error rate of 100%.