Performance Analysis of Islamic Banks in Indonesia Using Machine Learning
Mahrus Ali,
Rahmat Gernowo,
Budi Warsito
Abstract:This study aims to examine several factors that influence the performance of Islamic banks in Indonesia by using the variables Return On Assets (ROA), Operating Expenses for Operating Income (BOPO), Capital Adequacy Ratio (CAR), Non Performing Financing (NPF), Financing to Deposit Ratio (FDR) and Potential Losses (PK). The data used in the study takes secondary data from the website of the Financial Services Authority (OJK) from the recapitulation of reports from Islamic banks throughout Indonesia, data taken … Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.