Penerapan Data Maining Menggunakan Algoritma C4.5 dalam Penilaian Kelayakan Pemberian Kredit Kepada Mitra Usaha PT Internasional Asia Prima
Keywords:
Implementation, C4.5 Algorithm Method, Credit Feasibility AssessmentAbstract
This research aims to investigate the application of the C4.5 algorithm method in assessing the feasibility of granting credit to business partners by PT Internasional Asia Prima. PT Internasional Asia Prima is a financial industry company with various business partners in need of financial support for their growth. The decision-making process regarding the provision of credit to business partners is a critical aspect of the company's risk management. The C4.5 method is one of the artificial intelligence methods used for decision-making based on rules identified from historical data. This research collects and analyzes historical data on credit approval for business partners by PT Internasional Asia Prima. The C4.5 method is then implemented to generate a predictive model that can assist in assessing the feasibility of future credit approvals. The results of the research indicate that the C4.5 method can significantly contribute to improving the accuracy of assessing the feasibility of granting credit to business partners. With this model, the company can be more effective in identifying potential risks and optimizing their credit portfolio. The implications of this research include enhancements in risk management and the potential for increased company profitability
References
Elisa, E. (2018). JURNAL RESTI Dengan Algoritma Apriori. 2(2), 472–478.
Elisa, E. (2018). Market Basket Analysis Pada Mini Market Ayu Dengan Algoritma Apriori. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 2(2), 472–478.
Elisa, E. (2017). Analisa dan Penerapan Algoritma C4.5 Dalam Data Mining Untuk Mengidentifikasi Faktor-Faktor Penyebab Kecelakaan Kerja Kontruksi PT . Arupadhatu Adisesanti. 2(1), 36–41.
Harman, R. (2019). Penerapan Data Mining Dalam Memprediksi Pembelian Semen. Computer Based Information System Journal, 7(1), 10–17.
Harman, R. (2018). Computer Based Information System Journal Penerapan Penerima Uang dan Beras. 01, 48–55.
Hermawan, A., Sukma, A., & Halfis, R. (2019). Analisis algoritma klasifikasi C4.5 untuk memprediksi eberhasilanimmunotherapy pada penyakit kutil. Analisis Algoritma Klasifikasi C 4.5 Untuk Memprediksi Keberhasilan Immunotherapy Pada Penyakit Kutil, 5(2), 155–160.
Jayanti, N., Puspitodjati, S., & Elida, T. (2008). Teknik Klasifikasi Pohon Keputusan Untuk Memprediksi Kebangkrutan Bank Berdasarkan Rasio Keuangan Bank. Proceeding, Seminar Ilmiah Nasional Komputer Dan Sistem Intelijen (KOMMIT 2008) ISSN : 1411-6286, Kommit, 101–107.
Mardi. (2016). Klasifikasi Menggunakan Algoritma C4.5. Klasifikasi Menggunakan Algoritma C4.5, 2(2), 213–219.
Mardi, Y. (2017). Data Mining: Klasifikasi Menggunakan Algoritma C4. 5. Jurnal Edik Informatika Penelitian Bidang Komputer Sains Dan Pendidikan Informatika, 2(2), 213–219.
Mussardo, G. (2019). Pengertian Kredit dan Pembiayaan. Statistical Field Theor, 53(9), 1689–1699. https://doi.org/10.1017/CBO9781107415324.004
Sari, I. P., & Harman, R. (2020). Decission Tree Technique Dalam Menentukan Penjurusan Siswa Menengah Kejuruan. 1(4), 296–304.
Tukino and A. Maulana, "C4.5 Algorithm Application For Prediction 0f Customer Satisfaction Accuracy In PT. Pico Jaya Telesindo," 2021 International Conference on Computer Science and Engineering (IC2SE), 2021, pp. 1-6, doi: 10.1109/IC2SE52832.2021.9791939.
Tukino, T. (2019). Penerapan Algoritma C4.5 Untuk Memprediksi Keuntungan Pada PT SMOE Indonesia. JSINBIS (Jurnal Sistem Informasi Bisnis), 9(1), 39-46. https://doi.org/10.21456/vol9iss1pp39-46
Tukino, T., Arnomo, S. A., & Hakim, A. R. (2022). IMPLEMENTASI ALGORITMA C4.5 DALAM PENENTUAN POLA PEMBELIAN PELANGGAN. Computer Based Information System Journal, 10(2), 13–20. https://doi.org/10.33884/cbis.v10i2.6537
Siska, H., Aji, S., & Eko, S. (2015). Implementasi Data Mining untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5. Implementasi Data Mining Untuk Memprediksi Masa Studi Mahasiswa Menggunakan Algoritma C4.5, 11(2), 130–138.
Sri Lestari & Saefudin. (2015). Sistem Pendukung Keputusan Untuk Penilaian Kinerja Karyawan. 2(September), 40–43.
Syahputra, M.Kom, G. (2015). Penerapan Algoritma C4 . 5 Dalam Analisa Kelayakan Penerima Bonus Tahunan Pegawai ( Studi Kasus : PT . Multi Pratama Nauli Medan). 16(2).
Victor Marudut Mulai Siregar. (2018). Sistem Pendukung Keputusan Penentuan Insentif Bulanan Pegawai Dengan Menggunakan Metode Naïve Bayes. 7, 87–94.
Yang, Y., & Chen, W. (2016). Taiga : Performance Optimization of the C4 . 5 Decision Tree Construction Algorithm. 21(4), 415–425
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