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"Penelitian ini bertujuan untuk mengetahui pengaruh Asset Size (SIZE), Capital Adequacy Ratio (CAR). Asset Quality (AQ), Liquidity (LQD), Deposits (DEP), Operating Expense (OPEX), Net Interest Margin (NIM), GDP Growth (GDPG), Inflation (INF) dan Interest Rate (IR) terhadap profitabilitas Bank Umum Konvensional di Indonesia periode 2012-2018 dengan indikator ROA dan ROE. Penelitian ini menggunakan data sekunder kuantitatif dan diuji menggunakan model regresi data panel yaitu Model Efek Tetap dengan Generalized Least Square. Hasil penelitian yang diperoleh adalah SIZE, DEP, OPEX, NIM, GDPG, INF berpengaruh secara signifikan terhadap ROA, namun CAR, AQ, LQD dan IR tidak berpengaruh secara signifikan terhadap ROA. Sedangkan SIZE, CAR, OPEX, NIM, GDPG, INF dan IR berpengaruh secara signifikan terhadap ROE dan AQ, LQD, DEP tidak berpengaruh secara signifikan terhadap ROE.

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This study aims to determine the effect of Asset Size (SIZE), Capital Adequacy Ratio (CAR). Asset Quality (AQ), Liquidity (LQD), Deposits (DEP), Operating Expense (OPEX), Net Interest Margin (NIM), GDP Growth (GDPG), Inflation (INF) and Interest Rate (IR) towards Conventional Commercial Bank’s Profitability for the period 2012-2018 by using ROA and ROE. This study used quantitative secondary data and a panel data for regression model.The model used is Fixed Effect Model. The result of the research found that the SIZE, DEP, OPEX, NIM, GDPG, INF have significant influence towards ROA, but CAR, AQ, LQD and IR have unsignificant influence towards ROA. While, SIZE, CAR, OPEX, NIM, GDPG, INF and IR,have significant influence towards ROE and AQ, LQD, DEP have unsignificant influence towards ROE."

"Selama masa pandemi covid-19, banyak sektor ekonomi terdampak penyebaran pandemi covid-19 termasuk perbankan. Penelitian ini mencoba untuk meneliti dampak pandemi, faktor spesifik banks dan faktor makroekonomi terhadap stabilitas bank umum konvensional yang terdaftar di Bursa Efek Indonesia. Fator spesifik bank pada penelitian ini berfokus pada ukuran bank dan rasio kecukupan modal sebagai variabel independen. Adapun faktor makroekonomi pada penelitian ini adalah tingkat pertumbuhan domestik bruto (PDB). Sedangkan dampak pandemi covid-19 dikuantifikasi dengan variabel dummy. Penelitian ini menggunakan model penelitian regresi data panel dengan menggunakan data yang berasal dari laporan keuangan Bank Umum Konvensional yang terdaftar di Bursa Efek Indonesia pada periode 2018-2021. Penelitian ini menemukan bahwa stabilitas bank secara signifikan lebih rendah pada periode pandemi dibandingkan sebelum pandemi. Adapun penelitian juga menyimpulkan bahwa rasio kecukupan modal, dan ukuran bank berpengaruh positif signifikan terhadap stabilitas bank. Sedangkan pertumbuhan PDB cenderung berkorelasi negatif terhadap stabilitas bank. Diharapkan pada penelitian selanjutnya dapat memperbanyak sampel penelitian dan dapat melakukan analisis yang lebih mendalam terkait dampak pandemi covid-19 terhadap stabilitas bank.

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During the Covid-19 pandemic, many economic sectors were affected by the spread of the Covid-19, including banking. This research attempts to examine the impact of the pandemic, bank’s specific factors and macroeconomic factors on the stability of conventional commercial banks listed on the Indonesia Stock Exchange. The bank’s specific factors in this study focus on bank size and capital adequacy ratio as independent variables that affect bank stability. The macroeconomic factor in this study is the gross domestic product (GDP) growth rate. Meanwhile, the impact of the Covid-19 pandemic is quantified using a dummy variable. This study uses a panel data regression research model on the data from financial statements of Conventional Commercial Banks listed on the Indonesia Stock Exchange in 2018-2021. This study finds that bank’s stability in pandemic period is significantly lower than before pandemic period. This study also finds that capital adequacy ratio, and bank’s size have a significant positive effect on bank stability. Meanwhile GDP growth has significant negative effects on bank stability. Hopefully the future research can increase the number of research samples and conduct a more in-depth analysis regarding the impact of the COVID-19 pandemic on bank stability."

"Penelitian ini bertujuan untuk mengetahui pengaruh faktor spesifik bank dan makroekonomi terhadap likuiditas bank umum konvensional yang terdaftar di BEI pada periode 2012-2016. Variabel yang mewakili faktor spesifik bank dalam penelitian ini adalah rasio profitabilitas return on asset ROA, cost of funding, bank size, deposits, dan Capital Adequacy Ratio CAR . Faktor makroekonomi yang diuji adalah inflasi, tingkat pengangguran dan GDP. Pengujian dilakukan dengan model regresi data panel dengan metode random effect dengan estimator generalized least square GLS. Hasil regresi yang dilakukan, menemukan bahwa ROA dan bank size berpengaruh positif namun tidak signifikan terhadap likuiditas bank. Kemudian cosf of fund, deposits, CAR dan GDP berpengaruh positif signifikan terhadap likuiditas bank. Selanjutnya variabel inflasi dan tingkat pengangguran berpengaruh negatif dan tidak signifikan terhadap likuiditas bank.

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This study aims to determine the effect of bank specific and macroeconomic factors on the liquidity of conventional commercial banks listed on the IDX in the period 2012 2016. The variables that represent bank specific factors in this research are profitability ratio of return on asset ROA , cost of funding, bank size, deposits, and Capital Adequacy Ratio CAR. The macroeconomic factors tested were inflation, unemployment and GDP. This study using panel data with random effect methods generalized least square estimator to test the model. The result of this research found that ROA and bank size have positive but not significant effect to bank liquidity. Then cosf of fund, deposits, CAR and GDP have a significant positive effect on bank liquidity. Furthermore, the variables of inflation and unemployment rate have a negative and insignificant effect on bank liquidity."

"Penelitian ini dilakukan untuk menguji pengaruh karakteristik spesifik bank yakni Capital Ratio, Cost-to-income ratio, Loan loss provision (LLP), Growth Deposit, Bank Size, Interest Income Share, Funding Cost, Ownership, dan State Ownership, serta karakteristik spesifik makroekonomi dan industri dalam profitabilitas bank yang diproksikan dalam ROAA (Return On Average Assets), ROAE (Return On Average Equity), dan NIM (Net Interest Margin). Teknik sampling yang digunakan adalah purposive sampling. Jumlah sampel sebanyak 62 Bank Umum Konvensional di Indonesia. Menggunakan teknik analisis regresi data panel dan uji hipotesis menggunakan uji t-stat, uji F ,dan adjusted R-squared. Dan menggunakan uji asumsi klasik yang meliputi Uji Normalitas, Multikolinearitas, Uji Heterokedastisitas, dan Uji Autokorelasi. Hasil penelitian terbagi dalam 3(tiga) model, yaitu model pertama dengan profitabiltas yang diproksikan dengan ROAA (Return On Average Asset), model kedua dengan profitabilitas yang diproksikan dengan ROAE (Return On Average Equity), dan model ketiga dengan profitabilitas yang diproksikan dengan NIM (Net Interest Margin) yang masing-masing model memberikan hasil yang berbeda-beda antar variabelnya.

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This study was conducted to examine the effect to the specific characteristics of the bank’s Capital Ratio, Cost-to-Income Ratio, Loan loss provision (LLP), Growth Deposit, Bank Size, Interest Income Share, Funding Cost, Ownership, and Nationality, and the specific characteristics of macroeconomic and industry in bank profitability is proxied in ROAA (Return On Average Assets), ROAE (Return On Average Equity) , and NIM (Net Interest Margin).

The sampling technique used was purposive sampling. The total sample of 62 Commercial Bank in Indonesia. Using a panel data regression analysis and hypothesis testing using t-stat test, F test, and adjusted R-squared. And using the classical assumption includes Normality Test, Multicollinearity, Test Heterocedastity, and autocorrelation test.

The results of the study is divided into three (3) models, the first model to profitability proxied by ROAA (Return on Average Assets), the second model to profitability proxied by ROAE (Return on Average Equity), and a third model with profitability proxied by NIM (Net Interest Margin) that each model gives different results between the variables."

"[ABSTRAKTujuan penelitian ini adalah untuk mengetahui pengaruh Ukuran Bank (LNA), Capital Adequacy Ratio (CAR), Loans/Total Assets (LA), Loans Loss Provision (LLP), Liquid Assets/Total Assets (LQD), Deposits/Total Assets (DP), Net Interest Margin (NIM), Non Interest Income (NII) terhadap profitabilitas Bank Umum Konvensional yang terdaftar di Bursa Efek Indonesia dengan indikator ROA dan ROE periode 2005-2013. Data yang digunakan dalam penelitian ini diperoleh dari laporan tahunan bank yang dipublikasikan di Bank Indonesia dengan sampel 20 Bank Umum Konvensional. Penelitian ini menggunakan model regresi linierberganda. Hasil dari penelitian ini menunjukkan bahwa ada pengaruh signifikanLNA, LA, LLP dan NIM terhadap ROA, namun CAR, LQD, DP dan NII tidak berpengaruh signifikan terhadap ROA. Sementara ada pengaruh signifikan LNA, LA, LLP, LQD dan NIM terhadap ROE, namun CAR, DP dan NII tidak berpengaruh signifikan terhadap ROE.

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ABSTRACTThe purposes of this research is to know the influence of Bank Size (LNA), Capital Adequacy Ratio (CAR), Loans/Total Assets (LA), Loans Loss Provision (LLP), Liquid Assets/Total Assets (LQD), Deposits/Total Assets (DP), Net Interest Margin (NIM), Non Interest Income (NII) to profitability of Conventional Commercial Banks listed in Indonesia Stock Exchange by using Return on Assets and Return on Equity period 2005-2013. The data used in this study were obtain from the bank’s annual financial report which published in Bank Indonesia official website with sample of 20 Conventional Commercial Bank’s. This research using linear regression method. This result from this research indicate that LNA, LA, LLP and NIM havesignificant influence with ROA but CAR, LQD, DP and NII have unsignificant influence with ROA. While LNA, LA, LLP, LQD and NIM have significant influence with ROE but CAR, DP and NII have unsignificant influence with ROE.;The purposes of this research is to know the influence of Bank Size (LNA), CapitalAdequacy Ratio (CAR), Loans/Total Assets (LA), Loans Loss Provision (LLP),Liquid Assets/Total Assets (LQD), Deposits/Total Assets (DP), Net Interest Margin(NIM), Non Interest Income (NII) to profitability of Conventional CommercialBanks listed in Indonesia Stock Exchange by using Return on Assets and Return onEquity period 2005-2013. The data used in this study were obtain from the bank’sannual financial report which published in Bank Indonesia official website withsample of 20 Conventional Commercial Bank’s. This research using linear regressionmethod. This result from this research indicate that LNA, LA, LLP and NIM havesignificant influence with ROA but CAR, LQD, DP and NII have unsignificantinfluence with ROA. While LNA, LA, LLP, LQD and NIM have significantinfluence with ROE but CAR, DP and NII have unsignificant influence with ROE., The purposes of this research is to know the influence of Bank Size (LNA), CapitalAdequacy Ratio (CAR), Loans/Total Assets (LA), Loans Loss Provision (LLP),Liquid Assets/Total Assets (LQD), Deposits/Total Assets (DP), Net Interest Margin(NIM), Non Interest Income (NII) to profitability of Conventional CommercialBanks listed in Indonesia Stock Exchange by using Return on Assets and Return onEquity period 2005-2013. The data used in this study were obtain from the bank’sannual financial report which published in Bank Indonesia official website withsample of 20 Conventional Commercial Bank’s. This research using linear regressionmethod. This result from this research indicate that LNA, LA, LLP and NIM havesignificant influence with ROA but CAR, LQD, DP and NII have unsignificantinfluence with ROA. While LNA, LA, LLP, LQD and NIM have significantinfluence with ROE but CAR, DP and NII have unsignificant influence with ROE.]"

"Skripsi ini membahas bagaimana pengaruh antara faktor spesifik bank dan faktor makro ekonomi dengan likuiditas bank pada Bank umum di Indonesia dengan periode penelitian 2011-2015. Dari hasil penelitian didapatkan bahwa tingkat profitabilitas bank, unemployement rate dan GDP tidak memiliki pengaruh yang signifikan terhadap likuiditas bank. Hasil penelitian juga menunjukan bahwa funding cost, bank size, deposit dan CAR memiliki hubungan positif dan signifikan terhadap likuiditas bank.

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This thesis discusses how the relatioship between bank specific factors and macroeconomic factors with bank liquidity at commercial banks in Indonesia with the study period 2011 2015. From the results of the study found that the level of bank profitability, unemployement rate and GDP has no significant effect on bank liquidity. The results also show that funding cost, bank size, deposit and CAR have positive and significant correlation to bank liquidity."

"Penelitian ini bertujuan untuk melihat pengaruh globalisasi ekonomi terhadap efisiensi bank umum yang beroperasi di Indonesia pada periode waktu 2008-2012. Setelah dilakukan pengukuran efisiensi menggunakan Data Envelopment Analysis DEA dengan menggunakan pendekatan intermediasi. Regresi yang dilakukan terhadap model penelitian digunakan untuk mengetahui pengaruh yang terjadi antara efisiensi bank dengan faktor yang mempengaruhi. Penelitian ini menemukan sektor perbankan di Indonesia dipengaruhi secara signifikan oleh globalisasi ekonomi selama tahun 2008-2012. Faktor makroekonomi, rasio konsentrasi bank, dan faktor internal bank juga memiliki pengaruh terhadap efisiensi bank umum di Indonesia.

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The objective of this paper to analize the impact of economic globalization in efficiency of bank in Indonesia in five years range, periode of 2008 ndash 2012. By using Data Envelopment Analysis DEA with intermediation approach to measure bank efficiency. Regression result comes with a conclusion that economic globalization significantly effect efficiency of bank in Indonesia period of 2008 2012. Macoreconomic, bank concentration ratio, and bank spesific factor also has effect of bank efficiency. "

"Penelitian ini bertujuan untuk melihat pengaruh faktor spesifik-bank terhadap kinerja bank konvensional dan bank syariah di Indonesia pada saat pandemi Covid-19. Metode penelitian yang digunakan adalah regresi panel data dengan model estimasi fixed effect model atau ordinary least square (OLS). Faktor spesifik-bank yang digunakan dalam penelitian adalah diversifikasi pendapatan, kualitas aset, kapitalisasi, dan efisiensi operasional. Hasil penelitian menemukan bahwa faktor spesifik-bank secara signifikan mempengaruhi kinerja sektor perbankan. Diversifikasi pendapatan, kapitalisasi, kualitas aset, dan efisiensi operasional berpengaruh negatif dan signifikan terhadap bank konvensional. Di sisi lain, kualitas aset berpengaruh negatif dan efisiensi operasional berpengaruh positif terhadap kinerja bank syariah. Diversifikasi pendapatan hanya berpengaruh positif dan signifikan terhadap ROE, namun tidak signifikan mempengaruhi ROA. Sementara, kapitalisasi tidak signifikan mempengaruhi kinerja bank syariah.

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This study aims to examine the influence of bank-specific factors on the performance of conventional banks and Islamic banks in Indonesia during the Covid-19 pandemic. The research method used is panel data regression with a fixed effect model or ordinary least square (OLS) estimation model. The bank-specific factors used in the study are income diversification, asset quality, capitalization, and operational efficiency. The results of the study found that bank-specific factors significantly affect the performance of the banking sector. Income diversification, capitalization, asset quality, and operational efficiency have a negative and significant effect on conventional banks. On the other hand, asset quality has a negative effect and operational efficiency has a positive effect on the performance of Islamic banks. Income diversification only has a positive and significant effect on ROE, but does not significantly affect ROA. Meanwhile, capitalization does not significantly affect the performance of Islamic banks."

"[ABSTRAKPenelitian ini meneliti pengaruh faktor makroekonomi; yaitu perubahan GDP, perubahan real lending rate (BI rate), dan perubahan sovereign debt to GDP; dan pengaruh faktor spesifik bank, yaitu bad management, skimping, diversification opportunity, too big to fail, bad management II, procyclical credit policy, tight control terhadap perubahan NPL di Indonesia. Observasi dilakukan terhadap 105 bank umum yang diakui oleh BI di Indonesia selama kurun waktu 2003-2011 secara kuartal. Data yang digunakan merupakan data panel yang bersumber dari Datastream, Eikon, dan laporan keuangan perusahaan. Dengan menggunakan model estimasi First Difference Generalized Method of Moment (GMM), didapatkan hasil bahwa perubahan GDP, perubahan sovereign debt to GDP, skimping, diversification opportunity, bad management II, dan tight control (untuk ownership concentration lebih dari 25% hingga 50%) secara signifikan berpengaruh negatif terhadap perubahan NPL. Di sisi lain perubahan real lending rate (BI rate), too big to fail, dan tight control (untuk ownership concentration lebih dari 10% hingga 25% dan lebih dari 50%) secara signifikan berpengaruh positif terhadap perubahan NPL. Sedangkan bad management dan procyclical credit policy tidak secara signifikan berpengaruh terhadap perubahan NPL.

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ABSTRACTThis research examines the effect of macroeconomic factors, such as GDP growth, real lending rate (BI rate) growth, and change in sovereign debt to GDP; and the effect of bank-specific factors, such as bad management, skimping, diversification opportunity, too big to fail, bad management II, procyclical credit policy, tight control to the change of NPL in Indonesia. Observation is done to 105 bank in Indonesia within period of 2003-2011. By using panel data of macroeconomic and bank-specific factors from Datastream, Eikon, and financial report. By using First Difference Generalized Method of Moment (GMM) estimation model, research finds that GDP growth, change in sovereign debt to GDP, skimping, diversification, bad management II, dan tight control (for ownership concentration more than 25% until 50%) has negative effect on the change in NPL. In other side, real lending rate (BI rate) growth, too big to fail, and tight control (for ownership concentration more than 10% until 25% and more than 50%) has positive effect on the change in NPL. It also discovers that bad management and procyclical credit policy has no effect on the change in NPL., This research examines the effect of macroeconomic factors, such as GDP growth, real lending rate (BI rate) growth, and change in sovereign debt to GDP; and the effect of bank-specific factors, such as bad management, skimping, diversification opportunity, too big to fail, bad management II, procyclical credit policy, tight control to the change of NPL in Indonesia. Observation is done to 105 bank in Indonesia within period of 2003-2011. By using panel data of macroeconomic and bank-specific factors from Datastream, Eikon, and financial report. By using First Difference Generalized Method of Moment (GMM) estimation model, research finds that GDP growth, change in sovereign debt toGDP, skimping, diversification, bad management II, dan tight control (for ownership concentration more than 25% until 50%) has negative effect on the change in NPL. In other side, real lending rate (BI rate) growth, too big to fail, and tight control (for ownership concentration more than 10% until 25% and more than 50%) has positive effect on the change in NPL. It also discovers that bad management and procyclical credit policy has no effect on the change in NPL.]"

"Non-Performing Loan (NPL) merupakan indikator penting yang mencerminkan peran kredit bank dalam pertumbuhan ekonomi di dalam suatu negara. Pemerintah dan regulator menginginkan NPL yang rendah dan tingkat pertumbuhan kredit yang tinggi, sebagai sasaran untuk mencapai pertumbuhan ekonomi yang tinggi dan inflasi yang rendah. Sektor keuangan Indonesia yang sedang menghadapi resesi ekonomi tentunya akan berdampak pada kinerja bank, terutama dalam hal pencapaian NPL. Skripsi ini mengkaji NPL perbankan nasional selama 2015 – 2020, serta menyusun model empiris yang dapat digunakan untuk memproyeksikan NPL di masa mendatang. Unit sampling adalah bank yang tergabung dalam kategori bank umum konvensional yang berjumlah sebanyak 104 bank. Data yang digunakan adalah data time series untuk variabel penelitian tahun 2015 – 2020, dan teknik analisis dalam penelitian ini menggunakan analisis regresi time series dengan model estimasi Ordinary Least Square (OLS). Hasil empiris menunjukkan bahwa variabel makroekonomi suku bunga, tingkat inflasi, nilai tukar, dan US Prime Rate berpengaruh signifikan secara parsial terhadap NPL, sedangkan PDB berpengaruh negatif dan tidak signifikan secara parsial terhadap NPL. Namun demikian, suku bunga, tingkat inflasi, PDB, nilai tukar, dan US Prime Rate berpengaruh signifikan dan positif terhadap NPL secara simultan. Peneliti menemukan bahwa proyeksi NPL untuk tahun 2021: untuk skenario pesimis NPL tetap pada 5,08%, pada skenario optimis NPL akan turun menjadi 3,77%, dan pada skenario moderat NPL juga diprediksi akan turun menjadi 4,43%.

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Non-Performing Loan (NPL) is an important indicator reflecting the role of bank credit in a country's economic growth. The government and regulators want low NPL and high credit growth rates, as intermediate targets to achieve high economic growth and low inflation. The Indonesian financial sector, which is facing an economic recession, will certainly have an impact on banking performance, especially in terms of achieving NPL. This thesis reviews the NPL of national banks during 2015 – 2020, as well as developing an empirical model that can be used to project NPL in the future. The sampling unit is banks that are incorporated into conventional commercial banks, of which the total number is 104 banks. The data used are time series data for the studying variables of years 2015 – 2020 which are observed, and the analysis technique in this study used time series regression analysis with the estimation model is Ordinary Least Square (OLS). The empirical results indicate that the macroeconomic variables exerting significant influence partially to NPL are interest rate, inflation rate, exchange rate, and US Prime Rate, while GDP has a negative and insignificant effect partially both on NPL. However, the effect of interest rate, inflation rate, GDP, and also exchange rate and US Prime Rate simultaneously to NPL is significant and positive. Projecting NPL in 2021 the research found that in the pessimistic scenario, NPL remains 5.08%, in the optimistic scenario, NPL will decrease to 3.77%, and in the moderate scenario, NPL is also predicted that it will decrease to be 4.43%."