Prediksi Financial Distress Perusahaan Sektor Tambang Menggunakan Metode Altman, Grover, Dan Zmijewski Periode 2013-2015

Jenifer, Maria Margaretha (2017) Prediksi Financial Distress Perusahaan Sektor Tambang Menggunakan Metode Altman, Grover, Dan Zmijewski Periode 2013-2015. Other thesis, Universitas Katolik Musi Charitas.

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Abstract

This study aims to determine the potential for bankruptcy in mining companies. The method used in this research is the method of Altman, Grover, and Zmijewski. Population in this research is all mining sector company period 2013-2015. Sampling was done by purposive sampling method which resulted 17 mining sector companies. Hypothesis testing using Mc Nemar test. The results obtained show that by using the Altman method from year to year experienced an increase that was initially in 2013 the company categorized as experiencing financial distress amounted to 1 to 7 in 2015. According to Grover method companies are categorized as experiencing financial distress from year to year has increased which initially in the year 2013 amounted to 2 rose to 3 and in 2015 to 5. According to the method Zmijewski companies are categorized experiencing financial distress is relatively the same that amounted to 2 companies each year. According to the Mc Nemar test the Altman method and Grover method there is no significant difference or it can be said that H0 is accepted. Meanwhile, between financial distress indicator and financial distress prediction using Zmijewski method show that Ho is rejected or there is significant difference between financial distress indicator and financial distress prediction using Zmijewski method.

Item Type: Thesis (Other)
Additional Information: Skripsi Lengkap dapat dibaca di Ruang Referensi Perpustakaan UKMC Kampus Bangau
Uncontrolled Keywords: Altman (Z-Score), Grover (G-Score), Zmijewski (X-Score), Financial Distress
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Theses - S1 > Management Study Program
Depositing User: Perpustakaan Unika Musi Charitas
Date Deposited: 26 Jan 2019 03:17
Last Modified: 25 Jan 2022 09:54
URI: http://eprints.ukmc.ac.id/id/eprint/1958

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