Febriany, Asri Kinanti Analisis Risiko Kredit Bank Talenta Rakyat Menggunakan Decision Tree Classifier, Studi Kasus : Projek Akhir Magang dan Studi Independen Bersertifikat Kampus Merdeka Program Big Data & Business Intelligence Celerates Indonesia. Project Report (Praktek Kerja Lapang). Celerates. (Unpublished)
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Abstract
Bank Talenta Rakyat conducts customer profile screening for credit applicants as a preventive measure to avoid potential fund repayment failures by customers. This process is currently done manually, resulting in a significant amount of time being consumed. Therefore, this research aims to create a machine learning-based model to streamline the customer profile screening process. The model utilizes customer demographic parameters and credit history for analysis. The method chosen for model creation is the Model Selection approach. Based on the results obtained from Model Selection, the model that demonstrated the highest accuracy in this case is the Decision Tree Classifier, with an accuracy of 0.87. Consequently, the outcome of this research is the implementation of a machine learning model for screening customer profiles, employing the Decision Tree Classifier.
| Item Type: | Monograph (Project Report (Praktek Kerja Lapang)) | ||||||||
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| Subjects: | Q Science > QA Mathematics > QA76.87 Neural computers T Technology > T Technology (General) |
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| Depositing User: | Asri Kinanti Febriany | ||||||||
| Date Deposited: | 19 Dec 2023 07:50 | ||||||||
| Last Modified: | 19 Dec 2023 07:50 | ||||||||
| URI: | http://repository.upnjatim.ac.id/id/eprint/19071 |
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