
IMPLEMENTASI EARLY WARNING SYSTEM (EWS) DALAM MENEKAN TINGKAT NON PERFORMING FINANCING (NPF) DI PERBANKAN SYARIAH
Author(s) -
Novi Febriyanti
Publication year - 2020
Publication title -
asy syar'iyyah: jurnal ilmu syari'ah dan perbankan islam/asy syar'iyyah : jurnal ilmu syari'ah dan perbankan islam
Language(s) - English
Resource type - Journals
eISSN - 2598-8522
pISSN - 2089-7227
DOI - 10.32923/asy.v5i2.1445
Subject(s) - business , collateral , documentation , return on assets , finance , islam , sharia , early warning system , return on equity , warning system , accounting , computer science , philosophy , theology , profitability index , programming language , telecommunications , stock exchange
The health of a bank based on sharia principles is in the interest of all parties involved, including the owner, bank management, public users of bank services, Bank Indonesia as the bank supervisory authority and other parties. The following article aims to discuss the principles of Sharia prudential banking through an early warning system (EWS) that Islamic banks usually apply. The research method used is qualitative with a field research approach and literature study with data collection techniques through observation, interviews and documentation. The results show that the application of an early warning measurement system for Islamic banks can be calculated using several indicators, namely including return on equity (ROE), return on assets (ROA), financing to deposit ratio (FDR), non-performing finance (NPF) and ratios. operating costs and operating income (BOPO). This is implemented to reduce the level of problematic financing caused by two factors, namely internal factors (the banking sector), namely the lack of maintenance that has been determined, accuracy in business analysis, understanding of the necessary needs, inclusion of sound policy requirements and pursuing targets. External factors (debtors) are natural disasters, decreased business, collateral, increased competition for business types, low education levels and family factors.