PEMODELAN PREDIKSI FINANCIAL DISTRESS MENGGUNAKAN METODE MARS PADA PERUSAHAAN MANUFAKTUR SEKTOR INDUSTRI ROKOK DI BEI

Abstract

Financial Distress is a condition where a company faces financial problems that can be seen from the company's financial statements. Financial Distress can serve as an indicator before a company goes bankrupt. The development of the financial distress prediction model is a very important topic because it is useful for corporate management to take anticipatory action in the face of signs of bankruptcy. Creditors and investors can also use information about financial distress predictions in credit and investment decisions. This research will be made financial distress prediction model of a manufacturing company in the cigaretts industry sector in BEI using Multivariate Adaptive Regression Splines (MARS) method. The results showed that the best model was chosen from the model with minimum GCV.