Martina Dama Yanti
Universitas Baturaja

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

Pengaruh NIM dan CAR terhadap ROA pada Bank BUMN yang terdaftar di Bursa Efek Indonesia Periode 2019-2023 Martina Dama Yanti; Noviansyah
Jurnal Manajemen Bisnis Unbara Vol. 8 No. 2 (2025): Jurnal Manajemen Bisnis Unbara
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Baturaja

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to determine the influence of NIM and CAR on ROA in state-owned banks listed on the Indonesia Stock Exchange during the 2019–2023 period. The population of this study consists of the financial statements of state-owned banks listed on the IDX. The analytical method used is panel data regression, with the assistance of EViews 13 software. The results indicate that NIM and CAR simultaneously have a significant influence on ROA. However, partially, NIM does not have a significant effect on ROA, and similarly, CAR has a significantly affect ROA. The coefficient of determination (R-squared) is 0.554145 or 55.41%, which means that NIM and CAR explain 55.41% of the variation in ROA, while the remaining 44.59% is influenced by other factors not included in the model such as NPL, LDR, DER, BOPO and other financial rations.
Pengaruh NIM dan CAR terhadap ROA pada Bank BUMN yang terdaftar di Bursa Efek Indonesia Periode 2019-2023 Martina Dama Yanti; Noviansyah
Jurnal Manajemen Bisnis Unbara Vol. 8 No. 2 (2025): Jurnal Manajemen Bisnis Unbara
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Baturaja

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to determine the influence of NIM and CAR on ROA in state-owned banks listed on the Indonesia Stock Exchange during the 2019–2023 period. The population of this study consists of the financial statements of state-owned banks listed on the IDX. The analytical method used is panel data regression, with the assistance of EViews 13 software. The results indicate that NIM and CAR simultaneously have a significant influence on ROA. However, partially, NIM does not have a significant effect on ROA, and similarly, CAR has a significantly affect ROA. The coefficient of determination (R-squared) is 0.554145 or 55.41%, which means that NIM and CAR explain 55.41% of the variation in ROA, while the remaining 44.59% is influenced by other factors not included in the model such as NPL, LDR, DER, BOPO and other financial rations.