Model Analisis Prediksi Kebangkrutan Bank Swasta Nasional Periode 2002-2006

Authors

  • Agha Swara Ganesha Bina Nusantara University
  • Tomy G. Soemapradja Bina Nusantara University
  • Darman Darman Bina Nusantara University
  • Desmizar Desmizar Bina Nusantara University

DOI:

https://doi.org/10.21512/bbr.v3i2.1356

Keywords:

Prediction Model of Bankruptcy, Altman, CAMEL, Multiple Discriminant Analysis

Abstract

There are two main objectives to be achieved by this study:to determine the accuracy level of prediction models of health national private banks using CAMEL ratios, and model the value of Z for the national private commercial banks by using multiple discriminant analysis (MDA) as well as Altman Z values on the model. Determination of the model using the Z value ratios banking health of Capital, Assets, Earnings and Liability (CAEL), then create a new Z value model specifically for national private commercial bank in Indonesia by using statistical analysis of MDA, with SPSS. The samples used were 30 banks, consisting of 19 survived banks in 2002 and 11 bankrupt banks in the same year. The results showed that the model value of Z in the year 2003-2006 cannot reach good accuracy when measured on a per year. Instead, the new Z value model generated by this study has better accuracy in predicting the rate of bankruptcy cases nationwide private commercial bank in Indonesia (86.7%) in 2002 and an average accuracy of 71.67% for the 4-year period of the review.
Dimensions

Plum Analytics

Author Biographies

Agha Swara Ganesha, Bina Nusantara University

Management Department

Tomy G. Soemapradja, Bina Nusantara University

Management Department

Darman Darman, Bina Nusantara University

Management Department

Desmizar Desmizar, Bina Nusantara University

Management Department

References

______. (2000). Predicting Financial Distress of Companies: Revisiting the Z-Score and Zeta®

Models. New York.

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate

Bankruptcy. Amerika Serikat: Journal of Finance.

Bank Indonesia. 2002. Buku Direktori Perbankan Indonesia. Jakarta: Bank Indonesia

Bank Indonesia. 2003. Buku Direktori Perbankan Indonesia. Jakarta: Bank Indonesia

Bank Indonesia. 2004. Buku Direktori Perbankan Indonesia. Jakarta: Bank Indonesia

Bank Indonesia. 2005. Buku Direktori Perbankan Indonesia. Jakarta: Bank Indonesia

Bank Indonesia. 2006. Buku Direktori Perbankan Indonesia. Jakarta: Bank Indonesia

Brigham, E. F., dan Daves, P. R. (2004). Intermediate Financial Management: 8th Edition. AmerikaS

erikat: South Western-Thomson.

Chuvakin, N., dan Gertmenian, L. W. (2005). Predicting Bankruptcy in the WorldCom Age: How to

Determine When It Is Safe to Grant Credit. Amerika Serikat.

Daruri, A. D. (2007). Quo Vadis Arsitektur Perbankan Indonesia. Jakarta: Center For Banking Crisis.

Dendawijaya, L. (2005). Manajemen Perbankan. Bogor: Ghalia Indonesia.

Gautama, S. (2002). Indonesian Business Law. Bandung: PT Citra Aditya Bakti.

Hadad, M. D., Santoso, W., Sarwedi, H. S., dan Adenan, M. (2004). Model Prediksi Kepailitan Bank

Umum di Indonesia. Jakarta: Bank Indonesia.

Hair, J., Anderson, R. E., Tatham, R. L., dan Black, W. C. (1998). Multivariate Data Analysis: Fifth

Edition. New Jersey: Prentice Hall.

Hartono, J. (2004). Metodologi Penelitian Bisnis: Salah Kaprah dan Pengalaman-pengalaman.

Yogyakarta: BPFE.

Kusumastuti, R. (2001). A Study to Formulate a Bankruptcy Prediction Model for the Manufacturing

Industry in Indonesia. Yogyakarta: Universitas Gadjah Mada.

Muljono, T. P. (1995). Analisa Laporan Keuangan untuk Perbankan. Jakarta: Djambatan.

Nating, I. 2004. Kepailitan di Indonesia (Pengantar). Indonesia

Santoso, S. (2002). Buku Latihan SPSS Statistik Multivariat. Jakarta: Elex Media Komputindo.

Staf Investopedia.com. 2005. An Overview of Corporate Bankruptcy. Amerika Serikat.

www.bi.go.id

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Published

2012-11-30
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