ANALISIS FINANCIAL DISTRESS MENGGUNAKAN G-SCORE PADA PERUSAHAAN SEKTOR TRANSPORTASI YANG TERDAFTAR DI BURSA EFEK INDONESIA (Analisis Laporan Keuangan Perusahaan Transportasi Pada Tahun 2017-2020)

MUSTAKHIM, FANDHI DWI (2022) ANALISIS FINANCIAL DISTRESS MENGGUNAKAN G-SCORE PADA PERUSAHAAN SEKTOR TRANSPORTASI YANG TERDAFTAR DI BURSA EFEK INDONESIA (Analisis Laporan Keuangan Perusahaan Transportasi Pada Tahun 2017-2020). Other thesis, UPN "Veteran" Yogyakarta.

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Abstract

This study aims to find out how the existing methods on financial distress problems,
namely the grover method, can be a tool in giving signals to companies that will
experience financial distress and also knowing what components are influencing so that
stakeholders can anticipate this with this method. . The data analysis tool method used
in this study uses SPSS logistic regression (Statistical Package for the Social Sciences).
The results of the research in the analysis of the accuracy of the Grover method can be
explained that the value of the accuracy of the Grover method to determine financial
distress is 74.4% with a Type error value of 36.6%. And the ratio variable consisting
of Net working capital to total assets, EBIT to total assets, and ROA, the results show
that what can affect the probability of financial distress in the Grover method is Net
working capital to total assets, EBIT to total assets, then the variable The ROA ratio
explains that it cannot affect the probability of financial distress in transportation sector
companies listed on the IDX for the 2017-2020 financial statements.
Keywords: Financial Distress, Transportation, Regression Logistic, IDX, Net working capital, EBIT, ROA

Item Type: Thesis (Other)
Uncontrolled Keywords: Financial Distress, Transportation, Regression Logistic, IDX, Net working capital, EBIT, ROA
Subjects: H Social Sciences > HG Finance
Divisions: Faculty of Law, Arts and Social Sciences > School of Management
Depositing User: A.Md Apriliani Kusuma Wardhani
Date Deposited: 25 Aug 2022 01:36
Last Modified: 25 Aug 2022 01:36
URI: http://eprints.upnyk.ac.id/id/eprint/30770

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