Authors:

I Gusti Ngurah Agung Surya Mahendra, Ida Bagus Leo Mahadya Suta, Made Sudarma

Abstract:

“Credit is the provision of funds for lending and borrowing transactions with the agreement and agreement between the bank or financial institution and its customers, and requires the borrower to pay the debt within a certain period of time and provide services. Crediting is done by identifying and assessing factors that influence credit risk. The loss of income and the threat of profitability are things that need to be wary of lending. Data mining classification can be used to help credit analysts in determining lending to customers. The classification process is carried out to obtain determinant attributes. The results of the classification process are evaluated using the adaboost method and testing using weka to obtain cross validation, confusion matrix to determine the most accurate classification in determining credit for cooperative customers”

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PDF:

https://jurnal.harianregional.com/ijeet/full-53622

Published

2019-10-07

How To Cite

AGUNG SURYA MAHENDRA, I Gusti Ngurah; LEO MAHADYA SUTA, Ida Bagus; SUDARMA, Made. Classification of Data Mining with Adaboost Method in Determining Credit Providing for Customers.International Journal of Engineering and Emerging Technology, [S.l.], v. 4, n. 1, p. 31–36, oct. 2019. ISSN 2579-5988. Available at: https://jurnal.harianregional.com/ijeet/id-53622. Date accessed: 28 Aug. 2025.

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Issue

Vol 4 No 1 (2019): January - June

Section

Articles

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License