International Journal of Business and Information Technology
Vol. 6 No. 2 (2025): December

ANALYSIS OF BANKRUPTCY PREDICTION IN HEALTH SECTOR COMPANIES LISTED ON THE INDONESIAN STOCK EXCHANGE IN THE PERIOD 2021-2023

Hasanah, Silvi Uswatul (Unknown)
Novius, Andri (Unknown)



Article Info

Publish Date
01 Dec 2025

Abstract

This study aims to analyze the bankruptcy of healthcare companies listed on the Indonesia Stock Exchange for the 2021-2023 period using the Altman Z-Score, Springate, Zmijewski, Grover, and Fulmer models and to determine whether there are differences in conditions from the results of the financial distress model analysis using the Altman Z-Score, Springate, Zmijewski, Grover, and Fulmer models and to determine the model that has the highest level of accuracy in predicting the potential for bankruptcy in companies. This research is a study with a mix method approach. The data source in this study is secondary data in the form of financial reports. The population in this study were healthcare companies listed on the Indonesia Stock Exchange for the 2021-2023 period. Sampling was carried out using a purposive sampling technique so that a sample of 23 companies and 96 analysis units were obtained. The results of this study indicate that Indofarma is the only company predicted to go bankrupt in the results of each financial distress model. The results of this study also show that there are differences in conditions from the results of the financial distress model analysis in healthcare companies. The model that has the highest level of accuracy in healthcare companies is the Grover model at 95.66%. The results of the best predictions and models can provide information in the form of positive signals and early warning systems for investors

Copyrights © 2025






Journal Info

Abbrev

ijobit

Publisher

Subject

Computer Science & IT

Description

International Journal of Business and Information Technology is open access and peer-reviewed journal published twice a year in June and December by STMIK Dharmapala Riau. The International Journal of Business and Information Technology is a medium for disseminating research results on various ...