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All Journal Majalah Bisnis & IPTEK
Ifanda Maya Arista
Universitas Widyatama, Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Social Sciences

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Analysis Of Altman Z-Score Modified Methods in Predicting Bankruptcy in LQ45 Companies Ifanda Maya Arista; Mochamad Kohar Mudzakar
Majalah Bisnis & IPTEK Vol. 15 No. 2 (2022): Majalah Bisnis & IPTEK
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/hhsbby62

Abstract

The purpose of the study was to predict bankruptcy rates in companies indexed in LQ45. The study was conducted on 20 companies as samples taken based on purposive sampling techniques for the period 2019 – 2021. The research method used is explanatory with descriptive investigations. The results showed that companies that met the healthy category in 2019, 15 companies, in 2020, 13 companies, and in 2021, 14 companies. Grey area category in 2019 – 2020, 3 companies, in 2021, 2 companies. For the bankruptcy category in 2019, 2 companies, and in 2020 – 2021, 4 companies.
Co-Authors Mochamad Kohar Mudzakar