Financial distress merupakan suatu kondisi di mana sebuah perusahaan mengalami kesulitan keuangan. Adanya fenomena perusahaan yang ter-delisting dari Bursa Efek Indonesia menjadi dasar untuk mengkaji ulang model prediksi kesulitan keuangan yang tepat. Penelitian ini bertujuan untuk memberikan bukti secara empiris mengenai pengaruh leverage dan profitabilitas dalam memprediksi financial distress. Sampel penelitian diperoleh dengan menggunakan metode purposive sampling. Sampel penelitian yang memenuhi kriteria sebanyak 40 perusahaan sektor pertambangan yang terdaftar di Bursa Efek Indonesia (BEI) periode 2016-2018. Dalam penelitian ini, pengelompokkan perusahaan yang mengalami financial distress menggunakan model Altman Z-score. Pengujian hipotesis dalam penelitian ini menggunakan regresi logistik. Berdasarkan hasil analisis regresi logistik dengan tingkat signifikansi 5%, hasil penelitian ini menunjukkan bahwa leverage memiliki pengaruh negatif dan signifikan terhadap prediksi financial distress serta profitabilitas memiliki pengaruh positif dan signifikan terhadap prediksi financial distress. Penelitian selanjutnya diharapkan mempertimbangkan aspek makroekonomi dalam memprediksi kondisi financial distress perusahaan.
Banks are briefly defined as business entities that collect funds from the public and channel them back to the public in the form of credit or other forms, which are one of the influential sectors in a country's economy. Channeling funds to the public or also called credit (leasing) aims to help improve the lives of many people. The existence of this loan often faces problems, namely non-performing loans (NPLs) where there are credit risks faced by the Bank due to the inability of the customer or debtor to return the amount of loans received from the Bank along with interest within a predetermined period of time. This study aims to determine the effect of Return On Assets (ROA), Capital Adequacy Ratio (CAR), Loan To Deposit Ratio (LDR) on the level of non-performing loans (NPLs) in SOE banking companies in 2017-2019. The research method used is descriptive quantitative by using combined panel data from cross sections and time series using SOE Bank financial report data for the 2017-2019 period. The results of this study indicate the influence of ROA on NPL, while CAR and LDR do not have a significant effect that indicates good company performance. Keywords: Bank, NPL, ROA, CAR, LDR
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