Analisis Metode Altman Z-Score, Springate, Grover, dan Zmijewksi Untuk Memprediksi Kebangkrutan Pada Perusahaan Subsektor Heavy Construction dan Civil Engineering Yang Terdaftar Di BEI Periode 2020-2023

Hanif, Diva Aulia (2025) Analisis Metode Altman Z-Score, Springate, Grover, dan Zmijewksi Untuk Memprediksi Kebangkrutan Pada Perusahaan Subsektor Heavy Construction dan Civil Engineering Yang Terdaftar Di BEI Periode 2020-2023. Undergraduate thesis, UPN "Veteran" Jawa Timur.

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Abstract

This study aims to analyze and compare the accuracy of four bankruptcy prediction models—Altman Z-Score, Springate, Grover, and Zmijewski—in forecasting potential bankruptcy among companies in the Heavy Construction and Civil Engineering subsector listed on the Indonesia Stock Exchange (IDX) during the 2020–2023 period. Using a quantitative approach and Kruskal-Wallis and accuracy tests on 20 companies, results show significant differences among models, with Grover being the most accurate. The findings support signaling theory, highlighting financial reports as early indicators of bankruptcy risk. Keywords: bankruptcy, Z-Score, Springate, Grover, Zmijewski, construction, signaling theory.

Item Type: Thesis (Undergraduate)
Contributors:
ContributionContributorsNIDN/NIDKEmail
Thesis advisorPriono, HeroNIDN0011106112hero.priono.ak@upnjatim.ac.id
Subjects: H Social Sciences > HG Finance
H Social Sciences > HG Finance > HG4001-4285 Finance management. Business finance. Corporation finance
Divisions: Faculty of Economic > Departement of Accounting
Depositing User: Diva Aulia Hanif
Date Deposited: 21 Jul 2025 06:58
Last Modified: 21 Jul 2025 06:58
URI: https://repository.upnjatim.ac.id/id/eprint/40278

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