Analisis Efektivitas Artificial Neural Networks dalam Prediksi Risiko Kredit Perbankan
Abstract
Penelitian ini bertujuan untuk menganalisis efektivitas ANN dalam memprediksi risiko kredit dibandingkan dengan metode tradisional seperti regresi logistik dan decision trees. Selain itu, penelitian ini juga mengeksplorasi faktor-faktor yang memengaruhi kinerja ANN, tantangan implementasinya di sektor perbankan, serta tren terbaru dalam penggunaan ANN untuk manajemen risiko keuangan. Dengan menggunakan metode Systematic Literature Review (SLR), penelitian ini mengidentifikasi model ANN yang paling efektif serta memberikan wawasan tentang keunggulan dan keterbatasannya. Penelitian ini diharapkan dapat memberikan kontribusi bagi akademisi dan praktisi dalam pengembangan sistem kecerdasan buatan untuk mendukung manajemen risiko perbankan yang lebih efektif dan efisien.
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DOI: https://doi.org/10.29100/jipi.v11i1.7746
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