Analisis Penggunaan Model Altman (Z Score) Untuk Memprediksi Kondisi Financial Distress Pada Perusahaan Sektor Properti Dan Real Estate Yang Terdaftar Di Bursa Efek Indonesia (BEI) Periode 2012-2015

Lutfiyah, Dewi and , Dr. Syamsudin, MM (2016) Analisis Penggunaan Model Altman (Z Score) Untuk Memprediksi Kondisi Financial Distress Pada Perusahaan Sektor Properti Dan Real Estate Yang Terdaftar Di Bursa Efek Indonesia (BEI) Periode 2012-2015. Skripsi thesis, Universitas Muhammadiyah Surakarta.

[img] PDF (BAB I)
BAB I.pdf

Download (242kB)
[img] PDF (BAB II)
BAB II.pdf
Restricted to Repository staff only

Download (725kB) | Request a copy
[img] PDF (BAB III)
BAB III.pdf
Restricted to Repository staff only

Download (436kB) | Request a copy
[img] PDF (BAB IV)
BAB IV.pdf
Restricted to Repository staff only

Download (464kB) | Request a copy
[img] PDF (BAB V)
BAB V.pdf
Restricted to Repository staff only

Download (11kB) | Request a copy
[img] PDF (DAFTAR PUSTAKA)
DAFTAR PUSTAKA.pdf

Download (229kB)
[img] PDF (LAMPIRAN)
LAMPIRAN.pdf
Restricted to Repository staff only

Download (810kB) | Request a copy
[img] PDF (HALAMAN DEPAN)
Halaman Depan.pdf

Download (508kB)
[img] PDF (NASKAH PUBLIKASI)
Naskah Publikasi_1.pdf

Download (2MB)
[img] PDF (SURAT PERNYATAAN PUBLIKASI)
IMAGE0001.PDF

Download (600kB)

Abstract

This study aims to determine the condition of financial distress property and real estate companies listed on the Stock Exchange (Stock Exchange Indonesia) from 2012 until 2015 using the model of Altman (Z-Score) and to determine the error rate of the financial distress prediction using a model of Altman (Z -Score). Sampling techniques in this study use purposive sampling and non-probability sampling. Data analysis methods use Altman model (Z-Score) and then viewed with an error rate that is owned by the models using the type I and type II errors. The results of the calculation using the model Altman (Z-Score) show the different result prediction at each company and each year, from the 160 companies predicted that 9 companies (5.625%)are predicted financial distress, 25 companies (15.625%)are in the grey area, and 126 companies (78,75%) are predicted non financial distress. Beside it, an error rate prediction Altman model(Z-Score) in 2012 got a type I error of 5% and type II error of 5%. Then in 2013 there were error rate of type I error of 7.5% and type II error of 2.5%. Keywords: Model Altman (Z-Score) and financial distress.

Item Type: Thesis (Skripsi)
Uncontrolled Keywords: Model Altman (Z-Score), Financial Distress
Subjects: H Social Sciences > HG Finance
Divisions: Fakultas Ekonomi dan Bisnis > Manajemen
Depositing User: DEWI LUTFIYAH
Date Deposited: 18 Jan 2017 06:07
Last Modified: 18 Jan 2017 06:07
URI: http://eprints.ums.ac.id/id/eprint/48440

Actions (login required)

View Item View Item