Prediksi Financial Distress Menggunakan Model Springate dan Zmijewski pada Perusahaan BUMN Jasa Infrastruktur yang Terdaftar di BEI Periode 2017-2021

Santoso, Intan Zulia Utami (2023) Prediksi Financial Distress Menggunakan Model Springate dan Zmijewski pada Perusahaan BUMN Jasa Infrastruktur yang Terdaftar di BEI Periode 2017-2021. Sarjana (S1) thesis, Universitas Islam "45" Bekasi.

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Abstract

This research aims to determine the differences in significance, coefficients
determination, and accuracy between the Springate and Zmijewski models in predicting Financial Distress in Infrastructure Services BUMN companies listed on the BEI in the 2017-2021 period. This is a quantitative research that uses 35
sample financial data from 7 companies obtained using the technique
purposive sampling.
Data analysis was carried out by collecting each financial ratio
sample. These financial ratios are then used as a proxy for the two models
predictions. Next, calculate the Financial Distress prediction model for each sample. After the score for each model is obtained, then test the distribution
data with a normality test, after the data is distributed normally then
A paired sample t-test was carried out to determine whether there were differences between the two models or not. Next, carry out an analysis of the coefficient of determination to find out
the effective contribution of each proxy to the Springate and Zmijewski models. Finally, calculate the accuracy level of each model.
The results of this research concluded that to predict Financial Distress conditions for companies that have symptoms such as BUMN Infrastructure Services companies listed on the IDX in the period 2017-2021
better to use Springate model. Because, in this research, the Springate model prediction results are normally distributed and the proxies used are influential
significant, and produced an accuracy rate of 97.14% with a Type I Error of 2.94%.

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