Analisis Model Prediksi Financial Distress Pada Sektor Pertanian Yang Terdaftar di BEI Periode 2016-2020

Abstract

This research aims to analyze and decide the accuracy of the Financial Distress Prediction model using the Altman Z-Score, Springate, Zmijewski and Grover model in agricultural sector companies listed on the Indonesian Stock Exchange for the 2016-2020 period. The method used in this research is descriptive quantitative using secondary data derived from the company’s financial statements. Population of this study were 25 companies and the research sampel was 10 companies with purposive sampling technique. The analysis technique used in the level of accuracy and type of error using Microsoft Excel. The result of this research indicate that the Zmijewski model has the highest accuracy rate of 62%, followed by the Grover model at 26%, Altman Z-Score 20% and Springate 6%.