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ANALISIS POTENSI KEBANGKRUTAN PERUSAHAAN SUB SEKTOR PAKAIAN DAN BARANG MEWAH YANG TERDAFTAR DI BURSA EFEK INDONESIA Yulianus Palette; Mahmudin A.Sabilalo; Fahmi Sahlan
Sigma: Journal of Economic and Business Vol 8 No 1 (2025): Sigma : Journal of Economic and Business
Publisher : STIE ENAM ENAM KENDARI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60009/f28ty185

Abstract

This study aims to determine and analyze the Altman, Grover and Springate models in detecting potential bankruptcy of clothing and luxury goods sub-sector companies for the 2021-2023 period and a comparison of the level of accuracy in detecting potential bankruptcy. The research method used descriptive quantitative research method, using 5 companies as research samples selected based on purposive sampling technique. The results showed that the Altman model detected 2 bankrupt companies, 1 gray area and 1 not bankrupt, the Grover model detected 2 bankrupt companies, and 3 bankrupt companies, while the Springate model detected all companies in potential bankruptcy. The highest accuracy rate by Grover model is 40% with 60% error, Altman accuracy rate is 20% with 60% error and Springate 0% with 100% error rate.