Perbandingan akurasi model altman z-score, zmijewski, dan grover, dalam memprediksi kesulitan keuangan
Penerbit : FEB - Usakti
Kota Terbit : Jakarta
Tahun Terbit : 2026
Pembimbing 1 : Harti Budi Yanti
Kata Kunci : Financial Distress, Altman Z-Score, Zmijewski, Grover, Consumer Cyclycal
Status Posting : Published
Status : Lengkap
| No. | Nama File | Hal. | Link |
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| 1. | 2026_SK_SAK_023002201044_Halaman-Judul.pdf | ||
| 2. | 2026_SK_SAK_023002201044_Surat-Pernyataan-Revisi-Terakhir.pdf | 1 | |
| 3. | 2026_SK_SAK_023002201044_Surat-Hasil-Similaritas.pdf | 1 | |
| 4. | 2026_SK_SAK_023002201044_Halaman-Pernyataan-Persetujuan-Publikasi-Tugas-Akhir-untuk-Kepentingan-Akademis.pdf | 1 | |
| 5. | 2026_SK_SAK_023002201044_Lembar-Pengesahan.pdf | 4 | |
| 6. | 2026_SK_SAK_023002201044_Pernyataan-Orisinalitas.pdf | 1 | |
| 7. | 2026_SK_SAK_023002201044_Formulir-Persetujuan-Publikasi-Karya-Ilmiah.pdf | 1 | |
| 8. | 2026_SK_SAK_023002201044_Bab-1.pdf | ||
| 9. | 2026_SK_SAK_023002201044_Bab-2.pdf |
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| 10. | 2026_SK_SAK_023002201044_Bab-3.pdf |
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| 11. | 2026_SK_SAK_023002201044_Bab-4.pdf |
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| 12. | 2026_SK_SAK_023002201044_Bab-5.pdf | ||
| 13. | 2026_SK_SAK_023002201044_Daftar-Pustaka.pdf | ||
| 14. | 2026_SK_SAK_023002201044_Lampiran.pdf |
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P Peningkatan ketidakpastian ekonomi pasca pandemi covid-19 menyebabkan meningkatnya risiko kesulitan keuangan di indonesia, bahkan terdapat perusahaan yang mengalami kesulitan keuangan di 2022 dan belum pulih hingga dua tahun kemudian. hal ini membuat sinyal keuangan yang diterima dipasar menjadi kurang jelas, sehingga diperlukan alat deteksi distress yang relevan sebagai sistem peringatan dini. maka dari itu, penelitian ini bertujuan untuk membandingkan akurasi tiga model altman z-score, zmijewski, dan grover dalam memprediksi kesulitan keuangan perusahaan konsumen siklikal yang terdaftar di bursa efek indonesia selama periode 2022–2024. penelitian ini menggunakan metode kuantitatif komparatif dengan sampling purposif, memilih 51 perusahaan yang menghasilkan 153 observasi. analisis meliputi statistik deskriptif, uji normalitas kolmogorov smirnov, uji kruskal–wallis, uji post-hoc, serta pengukuran tingkat akurasi dan jenis kesalahan untuk masing-masing model. hasil penelitian menunjukkan adanya perbedaan signifikan dalam tingkat akurasi di antara ketiga model. model zmijewski ditemukan memiliki tingkat akurasi tertinggi dibandingkan dengan model altman z score dan grover dalam memprediksi kesulitan keuangan pada perusahaan konsumen siklikal.
I Increased economic uncertainty after the covid-19 pandemic has led to an increased risk of financial distress in indonesia, with some companies experiencing financial difficulties in 2022 and still not recovering two years later. this has made the financial signals received in the market less clear, requiring a relevant distress detection tool as an early warning system. therefore, this study aims to compare the accuracy of three models, altman z-score, zmijewski, and grover, in predicting the financial distress of cyclical consumer companies listed on the indonesia stock exchange during the period 2022–2024. this study employs acomparative quantitative method with purposive sampling, selecting 51 companies yielding 153 observations. the analysis includes descriptive statistics, the kolmogorov–smirnov normality test, the kruskal–wallis test, post-hoc tests, and measurements of accuracy levels and error types for each model. the results of the study show significant differences in accuracy levels among the three models. the zmijewski model was found to have the highest accuracy level compared to the altman z-score and grover models in predicting financialndifficulties in consumer cyclical companies.