ANALISIS POTENSI KEBANGKRUTAN PERUSAHAAN SUB SEKTOR PAKAIAN DAN BARANG MEWAH YANG TERDAFTAR DI BURSA EFEK INDONESIA

Yulianus Palette (STIE ENAM ENAM KENDARI)
Mahmudin A.Sabilalo (STIE ENAM ENAM KENDARI)
Fahmi Sahlan (STIE ENAM ENAM KENDARI)

Sigma : Journal of Economic and Business
Vol 8 No 1 (2025): Sigma : Journal of Economic and Business

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.