PREDIKSI KREDIT DAN INDEKS MUSIMAN (SEASONAL INDEX) PADA BANK PERKREDITAN RAKYAT DI KABUPATEN JEMBER

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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijät: Sukarno, Hari (Tekijä), Nugroho, Ratna Pratiwi (Tekijä), Prasetiyaningtiyas, Susanti (Tekijä)
Aineistotyyppi: EJournal Article
Julkaistu: Jurusan Manajemen Fakultas Ekonomi dan Bisnis, 2020-11-30.
Aiheet:
Linkit:Get Fulltext
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
LEADER 02067 am a22002413u 4500
001 BISMA_article_view_15982_9086
042 |a dc 
100 1 0 |a Sukarno, Hari  |e author 
245 0 0 |a  PREDIKSI KREDIT DAN INDEKS MUSIMAN (SEASONAL INDEX) PADA BANK PERKREDITAN RAKYAT DI KABUPATEN JEMBER 
260 |b Jurusan Manajemen Fakultas Ekonomi dan Bisnis,   |c 2020-11-30. 
500 |a https://jurnal.unej.ac.id/index.php/BISMA/article/view/15982 
520 |a 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 
540 |a Copyright (c) 2020 BISMA: Jurnal Bisnis dan Manajemen 
546 |a eng 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
700 1 0 |a Nugroho, Ratna Pratiwi  |e author 
700 1 0 |a Prasetiyaningtiyas, Susanti  |e author 
786 0 |n 1978-3108 
786 0 |n 2623-0879 
786 0 |n BISMA: Jurnal Bisnis dan Manajemen; Vol 14 No 3 (2020); 210-215 
787 0 |n https://jurnal.unej.ac.id/index.php/BISMA/article/view/15982/9086 
856 4 1 |u https://jurnal.unej.ac.id/index.php/BISMA/article/view/15982/9086  |z Get Fulltext