Analysis of the Accuracy of the Springate and Fulmer Methods in Predicting Bankruptcy in Tourism, Restaurant and Hotel Subsector Companies in Indonesia


  • Lisa Alfarizi Ekonomi dan Bisnis
  • Zainal Zawir Simon Faculty of Economics and Business, YARSI University, Jakarta
  • Andri Gunawan Faculty of Economics and Business, YARSI University, Jakarta


Bankruptcy, Springate, Fulmer, Accuracy


The present investigation used the Springate and Fulmer methodologies to ascertain the bankruptcy rate of companies in the tourism, restaurant, and hotel industries that are listed on the Indonesia Stock Exchange (IDX) between 2017 and 2021. It is intended to be examined closely. The secondary data used in this study was gathered from the websites and financial statements of the companies listed in IDX. The Kolmogorov-Smirnov test, independent samples t-test, and inferential statistics were the data analysis methods employed. With an accuracy of 84 percent, Fulmer's method was found to be the most effective in forecasting bankruptcy, followed by his Springate method at 20 percent, according to the study's findings. We recommend that more researchers employ different bankruptcy procedures, look at businesses in diverse industries, and lengthen the study term


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How to Cite

Alfarizi, L., Simon, Z. Z., & Gunawan, A. (2023). Analysis of the Accuracy of the Springate and Fulmer Methods in Predicting Bankruptcy in Tourism, Restaurant and Hotel Subsector Companies in Indonesia. Journal of Accounting, Management, and Economics Research (JAMER), 2(2), 81–92.