Saraswati, Urijzah Ayu (2014) PREDIKSI FINANCIAL DISTRESS DENGAN METODE NEURAL NETWORK. Undergraduate thesis, STIE PERBANAS SURABAYA.
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Abstract
This research is a survey on the application of Neural Networks in Financial Distress Prediction. The main objective of this study was to prediction Financial Distress with Neural Network Method. The dependent variable was corporate condition with independent variable are value of firm, liquidity, Leverage and profitability. The sample of this research consist of 21 distress firms and 21 non-distress firms. The result of the study showed that the prediction accurancy of the Neural Network is 80 %, and can to prediction in Financial Distress. Key words : Financial Distress, Non Financial Distress, Neural Network
| Item Type: | Thesis (Undergraduate) |
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| Subjects: | 600 - TECHNOLOGY > 650 - 659 MANAGEMENT & PUBLIC RELATIONS > 658 - GENERAL MANAGEMENT > 658.15 - FINANCIAL MANAGEMENT |
| Divisions: | Bachelor of Management |
| Depositing User: | Perpustakaan Universitas Hayam Wuruk Perbanas |
| Date Deposited: | 24 Feb 2017 07:04 |
| Last Modified: | 24 Feb 2017 07:04 |
| URI: | http://eprints.perbanas.ac.id/id/eprint/602 |
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