PENANGANAN KREDIT MACET PADA BRI CABANG X

Triska Rifanti Hohedu, Any Rustia Dewi

Abstract


The research aims to find out how to deal with bad credit to minimize
the level of NPL at Bank BRI Branch X. Data collected in the form of primary
data and secondary data. The method used is descriptive qualitative. The findings are the process or method of handling bad credit applied to Bank BRI Branch X through internal and external factors can be seen from the figures in the NPL table that handling bad credit is done very well.
The results of the study show that the handling of credit at Bank BRI
Branch X is carried out by means of Account Officer (AO) prudence in the
selection of customers by taking into account various things to consider such as the type of business, character, and credibility of prospective customers. The reason is that the AO's actions in determining customers greatly affect the smoothness of future installment payments. Besides that there are several factors that are beyond the control of AO employees such as increased business, business risks, and the character of the customer itself that cannot be predicted from the start by AO employees. If there is problematic credit, efforts to save credit are also carried out, one of which is the application of the 3R principle and the most frequently applied is restructuring.

Keywords


Penanganan, Kredit Macet

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References


Dahlan Siamat. 2001. Manajemen Lembaga Keuangan. “Kebijakan Moneter dan

Perbankan”, Edisi pertama, Penerbit : Fakultas Ekonomi Universitas Indonesia,

Jakarta

Kuncoro Mudrajad. 2003. Metode Riset untuk Bisnis & Ekonomi.

Jakarta:Erlangga

Messai Ahelm S. 2013. Micro and Macro Determinants of Non-perfoming Loans.

International Journal of Economics and Financial Issues. Vol 3(4)

Taswan.2013. Akuntansi Perbankan Transaksi dalam Valuta Rupiah Edisi

ketiga.Yogyakarta : UPP STIM YKPN.

Undang-undang Perbankan No 10 Tahun 1998 : Kamir, Bank dan Lembaga

Keuangan lainnya, Edisi 6 cet-6 (Jakarta GrafindoPersada, 2002)

Yousefi Niloofar,et all. 2011. Proposed Classification of Data Mining Techniques

in Credit Scoring. International Conferences on Industrial Engineering and

Operations Management




DOI: https://doi.org/10.26905/j.bijak.v1i1.2779

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