Sistem Pendukung Keputusan Pemberian Kredit Nasabah BPR Guguk Mas Makmur

Authors

  • Ronaldo Syahputra Universitas Putra Indonesia YPTK Padang
  • Irohito Nozomi Universitas Putra Indonesia YPTK Padang
  • Ahmad Junaidi Universitas Putra Indonesia YPTK Padang

DOI:

https://doi.org/10.59653/jimat.v2i01.641

Keywords:

credit, decision, customers

Abstract

One of the services provided by BPR Guguk Mas Makmur is providing credit to customers. The process of granting credit is carried out through various considerations and conditions that must be fulfilled by the customer, then the Bank considers whether the customer is worthy of taking credit or not. The process of granting credit at the BPR Guguk Mas Makmur branch takes a long time because it is still done manually, so customers often move to other financing companies. This excessively long time is caused by an inaccurate analysis process, so the assessment process must be repeated. This is considered very inefficient and ineffective. Therefore, it is necessary to create a decision support system for credit eligibility at BPR Guguk Mas Makmur.

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References

Anggleni, A. (2018). Implementasi Kebijakan Program Kartu Keluarga Sejahtera (KKS ) dalam Meningkatkan Kesejahteraan Masyarakat Miskin di Kelurahan Sekip Jaya Kecamatan Kemuning Kota Palembang. Journal PPS UNISTI, 1(1). https://doi.org/10.48093/jiask.v1i1.3

Harahap, F., Saragih, N. E., Situmeang, E. D. P., Tuti, E., Ginting, E., & Fahrozi, W. (2022). Implementasi Data Mining dalam Memprediksi Stok Herbal menggunakan Algoritma Apriori. JURNAL MEDIA INFORMATIKA BUDIDARMA, 6(2). https://doi.org/10.30865/mib.v6i2.3937

Juna, E. (2016). PENERAPAN DATA MINING UNTUK PREDIKSI PENJUALAN WALLPAPERMENGGUNAKAN ALGORITMA C4.5. JURTEKSI (Jurnal Teknologi Dan Sistem Informasi).

Lukhayu Pritalia, G. (2018). Penerapan Algoritma C4.5 untuk Penentuan Ketersediaan Barang E-commerce. Indonesian Journal of Information Systems, 1(1). https://doi.org/10.24002/ijis.v1i1.1727

Nasiri, N. (2021). ANTARA BUNGA BANK DENGAN RIBA DALAM PERSPEKTIF PANDANGAN AL-QUR’AN. Jurnal Keislaman, 1(1). https://doi.org/10.54298/jk.v1i1.3348

Nofitri, R., & Eska, J. (2018). Implementasi Data Mining Klasifikasi C4.5 Dalam Menentukan Kelayakan Pengambilan Kredit. Seminar Nasional Royal (SENAR).

Rani Rahayu, & M. Zidny Nafi’ Hasbi. (2022). TEORI DAN KONSEP AKAD MUSYARAKAH DAN PENERAPANNYA DALAM PERBANKAN SYARIAH. Jurnal Keislaman, 5(2). https://doi.org/10.54298/jk.v5i2.3436

Rizal, M. A., Hardiman, H. D., Diningrat, M. S. M., & Saidatuningtyas, I. (2023). Determination of the Medical Equipment Delivery Route for PT Tri Sapta Jaya Using Simulated Annealing (SA) Algorithm. International Journal of Multidisciplinary Approach Research and Science, 2(01 SE-Articles), 251–260. https://doi.org/10.59653/ijmars.v2i01.405

Sembiring, M. A. (2016). Penerapan Metode Decision Tree Algoritma C45 Untuk Memprediksi Hasil Belajar Mahasiswa Berdasarkan Riwayat Akademik. Jurnal Teknologi Dan Sistem Informasi, 3(1).

Shu, X., & Ye, Y. (2023). Knowledge Discovery: Methods from data mining and machine learning. Social Science Research, 110. https://doi.org/10.1016/j.ssresearch.2022.102817

Yani, D., & Tanjung, H. (2021). Optimalisasi Algoritma C4.5 untuk Prediksi Kerusakan Mesin ATM Optimization of the C4.5 Algorithm for Predicting ATM Machine Damage. 12. InfoSys Journal, 6.

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Published

2023-12-30

How to Cite

Syahputra, R., Nozomi, I., & Junaidi, A. (2023). Sistem Pendukung Keputusan Pemberian Kredit Nasabah BPR Guguk Mas Makmur. Jurnal Riset Multidisiplin Dan Inovasi Teknologi, 2(01), 450–454. https://doi.org/10.59653/jimat.v2i01.641