Hari Sukarno
Fakultas Ekonomi dan Bisnis Islam, Universitas Jember
Ratna Pratiwi Nugroho
Fakultas Ekonomi dan Bisnis Islam, Universitas Jember
Susanti Prasetiyaningtiyas
Fakultas Ekonomi dan Bisnis Islam, Universitas Jember
DOI: https://doi.org/10.19184/bisma.v14i3.15982
ABSTRACT
This research aims to analyze the credit's predictive value, the development pattern of credit distribution, and the credit fluctuations of 13 Rural Banks in Jember, influenced by seasonal index variables, credit interest, NPL, LDR, ROA, CAR, and operational efficiency ratio. This study used an explanatory research approach. The sample consisted of all Rural Banks' quarterly financial reports in 2014-2019 taken by a purposive sampling method. Data were analyzed using three methods, i.e., double exponential smoothing, moving average ratio, and multiple linear regression analysis methods. Results showed that, according to each data analysis method, ten Rural Banks experienced increased credit distribution. However, the other three Rural Banks experienced a decrease in credit distribution. The study results also indicated an increasing trend in the development pattern of credit distribution. Meanwhile, the NPL and LDR variables partially influenced credit fluctuations.
Keywords: credit prediction, rural bank, seasonal index
Published
2020-11-30
Issue
Vol. 14 No. 3 (2020) Bisma: Jurnal Bisnis dan Manajemen
Pages
191-198
License
Copyright (c) 2025 Bisma: Jurnal Bisnis dan Manajemen
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