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All Journal LISAN AL-HAL: Jurnal Pengembangan Pemikiran dan Kebudayaan
Abd Hadi
Ekonomi Syariah, Universitas Trunojoyo Madura, Jawa Timur 61629 , Indonesia
Religion Education Social Sciences

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PREDIKSI FINANSIAL DISTRESS DENGAN METODE ALTMAN Z-SCORE, ZMIJEWSKI, DAN GROVER PADA PERUSAHAAN SAWIT TERINDEKS SAHAM SYARIAH PERIODE 2020-2022 Abd Hadi; Dahruji Dahruji; Joni Joni
LISAN AL-HAL: Jurnal Pengembangan Pemikiran dan Kebudayaan Vol. 18 No. 1 (2024): JUNI
Publisher : LP2M Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/lisanalhal.v18i1.95-112

Abstract

The primary aim of this research is to analyze the financial challenges encountered by sharia-compliant palm oil companies, along with assessing the variances in financial distress prognostications among the Altman Z-Score, Zmijewski, and Grover methodologies. Employing secondary data, this study adopts a descriptive quantitative approach. Data collection spans three years (2020–2022) utilizing a documentation strategy. Through purposive sampling, six companies are selected for analysis. Financial trouble predictions are conducted utilizing Altman Z-Score, Zmijewski, Grover, and One Way Anova methods prior to hypothesis testing. The study reveals disparate outcomes among the Grover, Zmijewski, and Altman Z-Score methodologies. Notably, the Zmijewski approach exhibits the highest accuracy rate of 83% among the predictive models for financial distress.
Co-Authors Dahruji Dahruji Joni Joni