Abstract
The research was conducted with the aim of knowing the prediction of the potential for bankruptcy of the four State-Owned Enterprises (BRI, BNI, Bank Mandiri and BTN) using the Altman Z-Score, Springate and Grover G-Score models. The data analysis method used a prediction model for the occurrence of bankruptcy consisting of the Altman Z-Score, Springate and Grover G-Score. The results showed that the prediction of bankruptcy (financial distress) using the Altman Z Score model was obtained from 2015-2019 for the four State-Owned Enterprise Banks (BRI, BNI, Bank Mandiri and BTN) as a whole obtained Z Score between 1.42-1 88 or at the criteria (cut off) Z <181 has the potential to go bankrupt and 1.81 <Z <2.99 gray area. Meanwhile, based on the Springate model from 2015-2019, the four State-Owned Enterprises (BRI, BNI, Bank Mandiri and BTN) overall obtained a Springate of 1.95 - 44.08 and were in the criteria (cut off) S> 0.862 and can be declared as not potentially bankrupt (healthy). Then based on Grover, it was obtained from 2015-2019 in the four State-Owned Enterprise Banks (BRI, BNI, Bank Mandiri and BTN) as a whole obtained a G Score of 1.71 - 2.15 and were in the criteria of G ≥ 0.01 or no potential bankrupt (healthy). The results showed that the Altman Z Score model has a better value than Springate and Grover because the number of ratios is more so that it can predict bankruptcy better
Highlights
PENDAHULUAN Bank memiliki peranan penting dalam pembangunan ekonomi suatu negara
The results showed that the prediction of bankruptcy (financial distress) using the Altman Z Score model was obtained from 2015-2019 for the four State-Owned Enterprise Banks (BRI, BNI, Bank Mandiri and BTN) as a whole obtained Z Score between 1.42-1 88 or at the criteria (cut off) Z
The results showed that the Altman Z Score model has a better value than Springate and Grover because the number of ratios is more so that it can predict bankruptcy better
Summary
2016 sampai tahun 2018 mengalami peningkatan tetapi di tahun 2019 perolehan laba bersih mengalami penurunan menjadi hanya 0,55 triliun. Hal tersebut karena semakin sedikit pendapatan atau laba yang diperoleh akan berdampak pada kondisi keuangan perbankan. Kondisi ini biasanya tidak muncul begitu saja di perusahaan, ada indikasi awal dari perusahaan tersebut yang biasanya dapat dikenali lebih dini kalau laporan keuangan dianalisis secara lebih cermat dengan suatu cara tertentu. Kondisi ini biasanya tidak muncul begitu saja di perusahaan, ada indikasi awal dari perusahaan tersebut yang biasanya dapat dikenal lebih dini kalau laporan keuangan dianalisis secara lebih cermat dengan suatu cara tertentu. Insolvensi memiliki dua bentuk yakni default teknis yang terjadi bila suatu perusahaan gagal memenuhi salah satu atau lebih kondisi di dalam ketentuan hutangnya, seperti rasio aktiva lancar dengan hutang lancar ditetapkan, serta kegagalan keuangan atau ketidakmampuan teknik (technical insolvency) yang terjadi apabila perusahaan tidak mampu memenuhi kewajibannya pada waktu yang ditentukan.
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