Analisis Perbandingan Kemampuan Prediksi Kebangkrutan antara Analisis Altman, Analisis Ohlson dan Analisis Zmijewski pada Sektor Industri Tekstil yang Go Public di Bursa Efek Indonesia Periode 2008-2012  

 

Bethani Suryawardani

Dosen Tetap Prodi D3 Manajemen Pemasaran, Universitas Telkom

Jl. Telekomunikasi Ters.Buah Batu Bandung

Email: [email protected] 

 

ABSTRACT

           

This study aims to determine the difference between the Altman Modified Model, the Zmijewski Model and Ohlson Models in predicting bankruptcy in Textile and Garment companies listed in Indonesian Stock Exchange from 2008 to 2012. Research method used in this study is descriptive comparative to explain and compare the three methods for bankruptcy prediction. The results of this study is indicate that Ohlson method (O-Score) proven more accurate for predicting bankruptcy (financial distress), especially for Textile and Garment Industry, because it has a higher accuracy which is probability 97.8% of accuracy, it is evidenced by the results of the calculation, where only HDTX company in 2011 that was not predicted to go bankrupt in the future. While Altman Modified method (Z” Score) can only predict financial distress for company by 73.3 % accuracy. Zmijewski Models (X-Score) can predict bankruptcy for company by 60 % during research periods.

 

Keyword: Bankrupcy, Altman Modified, Ohlson, Zmijewski, Financial Distress

 

Penelitian ini telah dipublish pada:

Jurnal Ekonomi, Manajemen dan Bisnis (ECODEMICA) Volume: III Nomor 1  April 2015 (ISSN: 2355-0295)