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Journal : eCo-Fin

Faktor-Faktor Pengungkapan Sustainability Report Imelda Sinaga; Stella Teddyani
eCo-Fin Vol. 2 No. 2 (2020): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.591 KB) | DOI: 10.32877/ef.v2i2.313

Abstract

Penelitian ini bertujuan menguji kembali pengaruh karakteristik perusahaan yang terdiri dari profitabilitas, likuiditas, leverage dan ukuran perusahaan terhadap pengungkapan sustainability report. Penelitian ini menggunakan penelitian kuantitatif dengan data sekunder. Populasi dalam penelitian ini adalah perusahaan yang terdaftar di Bursa Efek Indonesia pada tahun 2015-2018 yang menerbitkan laporan tahunan dan sustainability report. Penentuan sampel dalam penelitian ini menggunakan metode purposive sampling. Hasil dari penelitian ini menunjukkan bahwa profitabilitas berpengaruh negatif terhadap pengungkapan sustainability report, likuiditas tidak berpengaruh terhadap pengungkapan sustainability report, leverage tidak berpengaruh terhadap pengungkapan sustainability report, dan ukuran perusahaan tidak berpengaruh terhadap pengungkapan sustainability report. Sedangkan secara simultan profitabilitas, likuiditas, leverage dan ukuran perusahaan tidak berpengaruh terhadap pengungkapan sustainability rep
Perbandingan Prediksi Kebangkrutan Menggunakan Metode Grover, Metode Altman Z-Score dan Metode Springate Nur Gita Suryati Putri; Victoria Ari Palma Akadiati; Imelda Sinaga
eCo-Fin Vol. 5 No. 2 (2023): eCo-Fin
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/ef.v5i2.761

Abstract

This study aims to analyze the bankruptcy rate of companies using the Grover model, Altman Z-score model, and Springate model. This type of quantitative research with the population uses companies that conducted IPOs in 2021. The sampling technique used is purposive sampling and the number of samples obtained based on predetermined criteria is 54 company samples. The results of this study showed that sample companies that predicted bankruptcy using the Grover method had an accuracy rate of 83%, and an error rate of 17%. The Altman Z-score method has an accuracy rate of 87%, an error rate of 9%, and a gray area rate of 4%. The Springate method has the highest accuracy rate of 94%, and an error rate of 6%. This bankruptcy prediction analysis can help company owners to immediately anticipate the factors that cause bankruptcy and for investors can be used as information in making decisions to invest in shares in IPO companies in 2021.