Penerapan Model Multiple Discriminant Analysis Altman (Z”-score) Untuk Memprediksi Financial Distress (Studi Pada Perusahaan Manufaktur Yang Terdaftar Di Bursa Efek Indonesia Periode 2012-2014)

Rima Putri Novitasari • Topowijono Topowijono • Devi Farah Azizah
Journal article Jurnal Administrasi Bisnis S1 Universitas Brawijaya • September 2016 Indonesia

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(Bahasa Indonesia, 6 pages)

Abstract

This study aims to find companies that categorized as financial distress by using Z "-Score. Previously, this model revise Altman Z-Score become Z'-Score, then modifies to Z "-Score. Multiple Discriminant Analysis Altman (Z "-Score) considered effective to classify estimates or predictions of bankruptcy of the company to five years before it was time. The existence of these predictive models can inform the management company to minimize the potential bankruptcy of the company. In addition, this model used investors and potential investors to determine investment decisions. This study was a descriptive study using financial statements as an analytical tool without avoiding the possibility of using the figures as quantitative data. Based on criteria that have been determined, obtained nineteen companies that the research sample. type of data used is secondary data from company financial statements obtained from the Indonesia Stock Exchange. results of this study indicate that the application of the calculation model of Multiple Discriminant Altman (Z "-Score) there are thirteen companies experiencing financial distress or distress zone potentially bankruptcy, the four companies classified as vulnerable condition or the position of gray area, and only two companies that have conditions of non-financial distress or safe zone and is said healthy.

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Jurnal Administrasi Bisnis S1 Universitas Brawijaya

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