A Backpropagation Artificial Neural Network Approach for Loan Status Prediction

نویسندگان

چکیده

Providing credit has become a main source of profit for financial and non-financial institutions. However, this transaction might lead into risk. This risk occurred if debtors unable to complete their obligations that will led loss creditors. It is necessity company create assessment in distinguishing eligible or non-eligible prospective customer. Artificial Neural Network (ANN) introduced solving typical classification case. Furthermore, one learning algorithm ANN namely Backpropagation able minimizing error output order receive accurate result. research aims form models capable classifying the loan status applicants by utilizing historical data. The method developed with activation function sigmoid function. In addition, formed two data model analyzed; first every variable given dataset second variables influenced acceptance. shows high performance more less variables. results show both highest accuracy prediction 94.37% while lowest 80.28%.

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ژورنال

عنوان ژورنال: Jurnal Teknik Informatika

سال: 2022

ISSN: ['1979-9160', '2549-7901']

DOI: https://doi.org/10.15408/jti.v15i2.27006