4.9 Determinant Coefficient Result
(R2)
R square explains how much variation Y is
caused by X, from the calculation results obtained
R2 value of 0.922% or 92.2% means that 93.2%
ROA strongly influenced by the five independent
variables CAR, NPL, BOPO, NIM, and LDR.
Moreover, 7.8% is explained by other causes outside
the model.
5 CONCLUSION
The Capital Adequacy Ratio has no positive
influence and direction on Return on Assets on state-
owned banks in Indonesia for the period 2007-2016.
Non Performing Loans have a negative influence
and direction on Return on Assets on state-owned
banks in Indonesia for the period 2007-2016.
Operational Costs Operating income has a negative
influence on the return on assets of state-owned
banks in Indonesia for the period 2007-2016. Net
Interest Margin has a positive influence and
direction on Return on Assets in state-owned banks
in Indonesia for the period 2007-2016.
Loan Deposit Ratio has no positive influence and
direction on Return on Assets in state-owned banks
in Indonesia for the period 2007-2016. Multiple
linear regression models are feasible to be used to
measure the effect of Capital Adequacy Ratio, Non
Performing Loans, Operational Income Operating
Costs, Net Interest Margin, and Loan Deposit Ratio
on Return on Assets in BUMN banks in Indonesia
for the period 2007-2016.
5.1 Suggestions
Suggestions for research include the following.
1. BUMN companies are expected to anticipate
factors that can affect the Capital Adequacy
Ratio (CAR), Non Performing Loans (NPL),
Operating Income Operating Costs (BOPO), Net
Interest Margin (NIM), and Loan Deposit Ratio
(LDR), it because become one of the reference
criteria for financial health for banks. Banking
companies are expected to pay attention to other
factors that can affect the Return On Assets
(ROA) outside the research variables in order to
anticipate things that can affect the growth
potential and prospects of the company in the
future.
2. For further research using a longer period of
observation. The addition of research samples
with a wider observation period will provide a
greater possibility of obtaining results that are
close to actual conditions.
3. It is recommended to use other banking health
measurement methods by Bank Indonesia
regulations. In order to get the results of various
studies on the health assessment of banks in
Indonesia.
REFERENCES
Ayuningrum, A. P. (2011). Analisis Pengaruh CAR, NPL,
BOPO, NIM, dan LDR Terhadap ROA (Studi pada
Bank Umum Go Public yang Listed pada Bursa Efek
Indonesia tahun 2005-2009). Jurnal Ekonomi
Manajemen Sumber Daya.
Baert, L. (2009). Bank ownership , firm value and firm
capital structure in Europe. In Working Paper (pp. 1–
34). the European Commission (7th Framework
Programme, Grant Agreement No. 217266).
Lin, C. M., & Smith, S. D. (2007). Hedging, financing and
investment decisions: A simultaneous equations
framework. Federal Reserve Bank of Atlanta, 42(2),
191–209. https://doi.org/10.1111/j.1540-
6288.2007.00167.x
Purbaningsih, Y. P. (2013). The Effect of Liquidity Risk
and Non Performing Financing (NPF) Ratio to
Commercial Sharia Bank Profitability in Indonesia.
Journal STIE Ekuitas Indonesia, 73.
https://doi.org/10.7763/IPEDR.
Raharjo, Dwi Priyanto Agung; Setiaji, B. S. (2014).
Pengaruh Rasio CAR, NPL, LDR, BOPO, Dan NIM
Terhadap Kinerja Bank Umum di Indonesia. Jurnal
Ekonomi Manajemen Sumber Daya, 15, No. 2(DAYA
SAING), 7–12.
S. Nanik. (2013). Analisis Pengaruh Tingkat Kesehatan
Bank dan Faktor Fundamental Makro Ekonomi
Terhadap Nilai Perusahaan Pada Perusahaan
Perbankan Yang Tercatat Di Bursa Efek Indonesia.
Universitas Merdeka Malang, 1–27.
Sanusi, A. (2016). Metodologi Penelitian Bisnis. Jakarta:
Salemba Empat.
Sukarno, K. W., & Syaichu, M. (2006). Analisis Faktor-
Faktor Yang Mempengaruhi Kinerja Bank Umum Di
Indonesia. Jurnal Studi Manajemen & Organisasi,
3(2003), 46–58.
Suyitno, B. Y. (2017). Pengaruh NPL dan LDR melalui
Profitabilitas sebagai Variabel Intervening terhadap
Nilai Perusahaan. Jurnal Ilmu Dan Riset Manajemen,
6(2).
Thamrin, K. M. H., Syamsurijal, Sulastri, & Isnurhadi.
(2018). Dynamic Model of Firm Value : Evidence
from Indonesian Manufacturing Companies. Sriwijaya
International Journal of Dynamic Economics and
Business (SIJDEB), 2(2), 151–164.
https://doi.org/https://doi.org/10.29259/sijdeb.v2i2.151
-164
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