PENGARUH KINERJA KEUANGAN DAN DEWAN KOMISARIS TERHADAP FINANCIAL DISTRESS
DOI:
https://doi.org/10.32670/fairvalue.v4iSpesial%20Issue%202.758Keywords:
Financial Distress, Financial Performance, Board of Commissioners, Springate ModelAbstract
The purpose of this study aims to determine the influence of WCTA, RETA, EBITTA, BVE / BVL and the board of commissioners on the possibility of financial distress in the company. The data analysis method uses descriptive statistical analysis and logistic regression analysis using the IBM SPSS Version 21 application. The population of this study is a coal mining sector company listed on the Indonesia Stock Exchange (IDX) in 2017-2020 which amounted to 26 companies. From 26 companies obtained a sample of 18 coal mining companies with 72 units of analysis. The sampling technique in this study used purposive sampling. The data is an annual report and financial statements published by companies registered with the IDX.
The results of this study showed that WCTA, BVE/BVL, EBITTA had a negative and significant effect on financial distress. RETA had a positif and significant effect on financial distress and board of commissioners had no significant effect on financial distress. The conclusion of this study is WCTA, RETA, EBITTA has a negative and significant effect on financial distress, while BVE / BVL and the board of commissioners have no significant effect on financial distress.
Keywords: Financial Distress, Financial Performance, Board of Commissioners, Springate Model
References
Afridola, S., & Hikmah. (2019). Pengaruh Rasio Keuangan Altman Z-score terhadap
Financial Distress pada PT Citra Tubindo Tbk. Junal Institusi Politeknik
Ganesha Medan, 2(1), 1–14.
Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of
Corporate Bankruptcy. The Journal of Finance, 23(4), 589–609.
Anggraeni, R. D. (2014). Penerapan Model Multiple Discriminant Analysis untuk
Memprediksi Financial Distress (Studi pada Sektor Industri Barang Konsumsi
yang Listing di Bursa Efek Indonesia Periode 2009-2012). Jurnal Administrasi
Bisnis, 8(2).
Driati, M. (2014). Pengaruh Rasio Keuangan dengan Model Altman Z-Score dan Arus
Kas Operasi Terhadap Prediksi Kondisi Financal Distress Perusahaan. Jurnal
Akuntansi Universitas Komputer Indonesia.
Fidyaningrum, A., & Retnani, E. D. (2017). Pengaruh GCG dan Firm Size Terhadap
Perusahaan Yang Mengalami Financial Distress. Jurnal Ilmu Dan Riset
Akuntansi Volume 6, Nomor 6, Juni 2017, 1, 1–476.
Fitriyani, E. R. (2016). Pengujian Rasio Model Altman untuk Memprediksi Financial
Distress Perusahaan Transportasi dan Pengaruhnya Terhadap Nilai Perusahaan.
STIE PERBANAS SURABAYA.
Idris, M. (2020). Daftar 10 Negara Penghasil Batu Bara Terbesar Dunia, RI Urutan
Berapa? www.kompas.com.
Indonesia-investments.com. (2015). Pendapatan Usaha Tambang Batubara Turun
karena Harga Rendah. Www.Indonesia-Investments.Com.
Indonesia-investments.com. (2018). Batubara. Www.Indonesia-Investments.Com.
https://www.indonesia-investments.com/id/bisnis/komoditas/batu-bara/item236 Mafiroh, A., & Triyono, T. (2018). Pengaruh Kinerja Keuangan dan Mekanisme
Corporate Governance Terhadap Financial Distress (Studi Empiris pada
Perusahaan Manufaktur yang Terdaftar di Bursa Efek Indonesia Periode 2011-
. Riset Akuntansi Dan Keuangan Indonesia, 1(1), 46–53.
Sugiyono, S. (2012). Metode penelitian kuantitatif dan kualitatif dan R&D. Alfabeta
Bandung.
Tan, E., & Wibisana, T. A. (2020). A comparative Analysis Altman ( Z-Score )
Revision and Springate ( S- Score ) Model in Predicting Financial Distress in
the Manufacturing Company - Indonesia Stock Exchange. Journal of Reseacrh
in Business, Economics, and Education, 2(4), 831–841.
Waqas, H., & Md-Rus, R. (2018). Predicting Financial Distress: Importance of
Accounting and Firm-Specific Market Variables for Pakistan’s Listed Firms.
Cogent Economics & Finance, 6(1), 1545739.