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All Journal Jurnal Pendidikan Fisika Indonesia Sainteknol : Jurnal Sains dan Teknologi JOIV : International Journal on Informatics Visualization
- Sugianto
Jl. Sindoro III/23 Ungaran Telp: (024) 76910012, Mobile Phone: 08157169295
Computer Science & IT Education Physics

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Journal : JOIV : International Journal on Informatics Visualization

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Modeling and Application of Credit Scoring Based on A Multi-Objective Approach to Debtor Data in PT. Bank Riau Kepri Sugianto, -; Widyasari, Yohana Dewi Lulu; Wardhani, Kartina Diah Kusuma
JOIV : International Journal on Informatics Visualization Vol 8, No 1 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.1.1493

Abstract

The development of information technology in Indonesia, marked by the start of Industry 4.0, is very rapid. With the development of technology, many companies use technology to develop their business, one of which is banking, which analyses the process of prospective customers. New employees find it challenging to interpret and tend to agree more easily with prospective customers because they only see the fulfillment of general requirements. This research aims to find an overview of the primary and additional factors to analyze prospective credit customers using The Cross-Industry Standard Process for Data Mining (CRISP-DM). Develop a model in this study using data variables of prospective customers in health insurance as a moderating variable. This model tested the Decision Tree algorithm with an accuracy value of 92.49%, the Random Forest with an accuracy value of 81.72%, the Support Vector Machine (SVM) with an accuracy value of 91.25%, and K-Nearest Neighbor (K-NN) with an accuracy value. 90.58%, Gradient Boosting with an accuracy value of 90.69%, and XGBoost with an accuracy value of 93.27%. The algorithm uses a cross-validation technique at the validation stage by changing the K value to 2, 4, 6, 8, and 10. The results show that the XGBoost Algorithm accuracy is 93.27% with a K value of 8. As the highest model accuracy, this model was implemented using the XGBoost Algorithm.
Co-Authors - Sutikno Desi Kiswiranti M. Akrom N. Hindarto P. Marwoto Putut Marwoto S Sopiah Sulhadi - U. Maghfiroh Wardhani, Kartina Diah Kusuma Wiyanto - Yohana Dewi Lulu Widyasari