Nanda Efrilia Sari, . (2024) ANALISIS MODEL FINANCIAL DISTRESS PADA PERUSAHAAN NON KEUANGAN YANG TERDAFTAR DI BEI. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
This research is aimed at comparing the Altman, Springate. Zmijewski and Blums prediction models in predicting bankruptcy conditions and to find out which bankruptcy prediction model is most capable of predicting financial distress in non-financial sector companies listed on the Indonesia Stock Exchange. The level of accuracy of the four models can be determined by comparing the calculation results of the four models with the real conditions of a company. Data on companies in the non-financial sector listed on the Indonesia Stock Exchange for the 2018-2023 period are used as research population data. The sampling method uses purposive sampling technique with a total of 233 companies that fit the criteria. This research uses logistic regression analysis test methods and accuracy tests to determine the level of feasibility and accuracy of the model. Based on the results of the research, it shows that the Altman, Springate, Zmijewski and Blums models are suitable for predicting potential bankruptcy in the non-financial sector, because these four models have decent results based on the logistic regression test. The highest level of accuracy is owned by the Zmijewski model with results of 72.25%. It can be concluded that the best model for predicting potential financial distress for non-financial companies is the Zmijewski model.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Additional Information: | [No.Panggil: 2010111066] [Pembimbing: Wahyudi] [Penguji 1: Nurmatias] [Penguji 2: Sri Mulyantini] |
| Uncontrolled Keywords: | Bankruptcy, Zmijewski Model, Blums Model, Logistic Regression |
| Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management |
| Divisions: | Fakultas Ekonomi dan Bisnis > Program Studi Manajemen (S1) |
| Depositing User: | NANDA EFRILIA SARI |
| Date Deposited: | 27 Sep 2024 02:57 |
| Last Modified: | 27 Sep 2024 02:57 |
| URI: | http://repository.upnvj.ac.id/id/eprint/31375 |
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