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    Analisis Keakurasian Metode Financial Distress pada Perusahaan Transportasi yang Terdaftar Di BEI Tahun 2020 – 2021

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    SKRIPSI FULL_ADELIA AMERTA SAFIRA_190810301117_Watermark.pdf (1.749Mb)
    Date
    2022-12-08
    Author
    SAFIRA, Adelia Amerta
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    Abstract
    This study aims to analyze the level of accuracy of each Financial Distress prediction method using the Altman Z-Score method, Grover method, Zmijewski method, Springate method and Fulmer method, as well as find out the most accurate method to be applied in transportation sector companies listed on the IDX from 2020 to 2021. This quantitative research was conducted using a descriptive method. The selection of the sample to be studied uses a purposive sampling technique, so that there were 15 companies that met these criteria. This research data is classified as secondary and sourced from the IDX website comes from the official website of the Indonesia Stock Exchange, namely www.IDX.go.id, the data in question is the sample company's annual financial reports and special monitoring lists or special notations issued by the IDX. In this study, the accuracy of the Altman Z-Score method is up to 70%, the Grover method has an accuracy rate of up to 73%, the Zmijewski method has an accuracy rate of up to 80%, the Springate method has an accuracy rate of up to 37% and the Fulmer method has an accuracy rate of up to 67%. , so that the analytical method that has the highest level of accuracy based on the calculation results is the Zmijewski method and the method with the lowest level of accuracy is the Springate method.
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    https://repository.unej.ac.id/xmlui/handle/123456789/114315
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    • UT-Faculty of Economic and Business [12478]

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    UPA-TIK Copyright © 2024  Library University of Jember
    Contact Us | Send Feedback

    Indonesia DSpace Group :

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