Pendekatan Machine Learning untuk Memprediksi Kesulitan Keuangan Perusahaan

Abstract

Machine Learning is a method that is widely used to replace or imitate human behavior in solving problems or optimizing. Support Vector Machine is part of Machine Learning which was developed to solve classification problems as well as in predicting the company’s financial difficulties. Prediction of financial distress is useful to find out the performance of the company before the occurrence of bankruptcy. In this paper, it will be shown how the Support Vector Machine in predicting the financial distress of companies in the property and real estate sector.