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All Journal JURIKOM (Jurnal Riset Komputer)
Fakhriza Firdaus
Universitas Darwan Ali
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Journal : JURIKOM (Jurnal Riset Komputer)

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Implementasi Algoritma Naive Bayes Pada Data Set Kualitatif Prediksi Kebangkrutan Fakhriza Firdaus; Ali Mukhlis
JURIKOM (Jurnal Riset Komputer) Vol 7, No 1 (2020): Februari 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (225.525 KB) | DOI: 10.30865/jurikom.v7i1.1757

Abstract

A number of studies about bankruptcy prediction have widely applied the Data Mining technique to find useful knowledge automatically based on an assessment of the management's assessment of the risks that exist in a company. In the process of risk assessment the actual knowledge of experts is still considered an important task because the predictions of experts depend on their effectiveness. This study aims to extract information from qualitative bankruptcy data sets so that they can be used as a useful learning resource for improving the management of a company. The technique used in this study is classification using the Naive Bayes algorithm. Naive Bayes uses probabilistic predictions to classify data.
Co-Authors Ali Mukhlis