Dana pihak ketiga, Inflasi dan Pembiayaan Mudharabah terhadap Non Performing Financing pada Bank Islam di Indonesia dan Malaysia

2019 ◽  
Vol 16 (2) ◽  
pp. 74-80
Author(s):  
Afrillia Tiara Putri ◽  
Saadah Yuliana ◽  
Anna Yulianita
Keyword(s):  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Islamic Banks ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

This study aimed to analyze the influence of third party funds, inflation, and mudharabah against non performing financing on Islamic Banks in Indonesia and Malaysia. Data used is secondary data. The method used in this analysis is the panel data regression. The results showed that in partial third party fund and mudharabah significant negative effect on the Non Performing Financing, while inflation is positive and not significant to the Non Performing Financing. Variable Third Party Funds, Inflation and mudharabah jointly significant effect on Non Performing Financing. Based on the regression equation fixed effect model results show the results of the coefficient of determination (R2) is 0.369198, or 36.91 per cent means that the variation of the variable third party funds, inflation and mudharabah have an influence on the non performing financing for the coefficient of determination, while the rest 63.09 percent influenced by variables outside the model

scholarly journals PENGARUH TINDAK KORUPSI TERHADAP KEMISKINAN DI NEGARA-NEGARA ASIA TENGGARA DENGAN MODEL PANEL DATA

2020 ◽  
Vol 4 (2) ◽  
pp. 311-320
Author(s):  
Aditya Firman Baktiar ◽  
Herpanindra Fadhilah ◽  
Margareth Dwiyanti Simatupang ◽  
Mula Warman ◽  
Salsa Vira ◽  
...  
Keyword(s):  
Panel Data ◽  
Southeast Asia ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The World ◽  
Data Source ◽  
High Level

Poverty is still being an issue all over the world. It also happens in Southeast Asia that mostly consists of developing countries that identic with high poverty rates. Countries in the world have tried to eradicate the problem of poverty, it's just that it can be hampered due to the high level of corruption. This study aims to look at suitable models and the relationship between corruption and poverty. The data source in this study is secondary data from ten countries in Southeast Asia from 2015 to 2018. Analysis of the data used in this study is panel data. The result obtained is a panel data regression model that is more suitable for modeling the effect of corruption on poverty in Southeast Asian countries is a fixed effect model. Based on the model, the corruption represented by Corruption Perception Index (CPI) and the poverty represented by Human Development Index (HDI) is directly proportional which means every increase in one unit of CPI will also increase the HDI score by 0.001443 unit.

scholarly journals PERTUMBUHAN EKONOMI, DISPARITAS PENDAPATAN DAN KESEJAHTERAAN KABUPATEN/KOTA DI PROVINSI NUSA TENGGARA BARAT

GANEC SWARA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
BAIQ HIPZIWATY ◽  
PUTU KARISMAWAN ◽  
BAIQ ISMIWATY
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Income Disparity ◽  
The People ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze economic growth, income disparity and community welfare in the West Nusa Tenggara Province.     This research is a descriptive study using secondary data obtained from relevant agencies in the form of GRDP data, population, economic growth, HDI and per capita income between regencies / cities in NTB Province and data collection using the case method. With analytical procedures using Williamson index and panel data regression analysis.     The results showed that during the period of 2010-2016 the average economic growth of West Nusa Tenggara Province was 6.0%. The income disparity seen from the Williamson index in the 2010-2016 period is classified as a medium inequality criterion. The estimation results of the relationship between the variables of economic growth, income disparity and the welfare of the people of West Nusa Tenggara Province measured using HDI in 2010-2016 using panel data regression analysis with the Fixed Effect model (FEM), found that economic growth variables were positively related, but not significant to welfare society. The variable income disparity is significantly related to the welfare of the people of NTB Province.

scholarly journals Analisis Pembiayaan Mudharabah Bank Pembiayaan Rakyat Syariah Terhadap Nonperforming Financing di Indonesia Tahun 2015-2020

2021 ◽  
Vol 6 (1) ◽  
pp. 26
Author(s):  
Andiman Andiman ◽  
Agus Widardjono
Keyword(s):  
Panel Data ◽  
Model Selection ◽  
Research Method ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Selection Test

This study aims to analyze the effect of the type of financing on the Non-Performing Financing (NPF) of Islamic People's Financing Banks in Indonesia for the 2015-2019 period. The research method used is panel data regression with the Fixed Effect model as the recommended model based on the results of the model selection test. The results showed that the Log Mudharabah variable had a negative effect on the Non Performing Financing of Islamic Rural Banks. Mudharabah Log, Non Performing Financing

scholarly journals Analisis Profitabilitas Perbankan Syariah di Indonesia sebagai Dampak Dari Efisiensi Operasional

2017 ◽  
Vol 1 (2) ◽  
Author(s):  
Nur Zulfah Hijriyani ◽  
Setiawan Setiawan
Keyword(s):  
Financial Services ◽  
Secondary Data ◽  
Sampling Technique ◽  
Operational Efficiency ◽  
Islamic Banks ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Analysis Technique ◽  
Data Regression ◽  
Negative Effect

AbstractThe purpose of this study are to measure and analyze operational efficiency that showed by bank financial ratios consisting of Operating Expenses to Operating Revenues (BOPO), Allowance for Possible Losses on Earning Assets (PPAP), Non Performing Financing (NPF) and Financing to Deposits Ratio (FDR) to Profitability that measured by Return on Assets (ROA). The population in this research is 11 Islamic Banking (BUS) by using total sampling technique in determine the sample. The data used in this study is secondary data obtained from the annual report of the bank period 2010 to 2016 published by each bank and matched with the data also by the Financial Services Authority (OJK). The analysis technique used is panel data regression analysis. Based on the result of F-test in this research, it can be concluded that the independent variables (operational efficiency) have a significant effect on the dependent variable (profitability). Meanwhile, the t-test shows that BOPO ratio has a significant negative effect on profitability. For the other three ratios, PPAP, NPF and FDR have no significant effect on profitability of Islamic Banks (BUS).Keywords: Islamic banks; Operational efficiency; Profitability. AbstrakPenelitian ini bertujuan untuk mengukur dan menganalisis pengaruh efisiensi operasionalyang diproksikan dengan rasio keuangan bank yang terdiri dari rasio Biaya Operasionalterhadap Pendapatan Operasional (BOPO), Penyisihan Penghapusan Aktiva Produktif(PPAP), Non Performing Financing (NPF) dan Financing Deposit Ratio (FDR) terhadapprofitabilitas yang diukur dengan Return on Asset (ROA). Populasi dalam penelitian ini adalah 11Bank Umum Syariah (BUS) dengan penggunaan teknik total sampling dalam penentuansampelnya. Data yang digunakan dalam penelitian ini adalah data sekunder yang diperolehdari laporan tahunan bank periode 2010 hingga 2016 yang dipublikasikan oleh masing-masing bank dan dicocokkan dengan data yang juga dipublikasikan oleh Otoritas JasaKeuangan (OJK). Teknik analisis yang digunakan adalah analisis regresi data panel. Berdasarkan hasil uji-F pada penelitian ini, dapat disimpulkan bahwa variabel independen (efisiensi operasional) berpengaruh signifikan terhadap variabel dependen (profitabilitas). Sementara itu, hasil uji-t menunjukkan bahwa rasio BOPO berpengaruh negatif signifikanterhadap profitabilitas. Untuk tiga rasio lainnya yaitu PPAP, NPF dan FDR tidak memilikipengaruh signifikan terhadap profitabilitas Bank Umum Syariah (BUS).Kata Kunci: Bank syariah; Efisiensi operasional; Profitabilitas.

scholarly journals ANALISIS PENGARUH BI RATE DAN KINERJA KEUANGAN BANK TERHADAP PEMBIAYAAN BANK SYARIAH DI INDONESIA (2010 - 2017)

2019 ◽  
Vol 3 (3) ◽  
pp. 376-385
Author(s):  
Didit Suprayitno ◽  
Idah Zuhroh ◽  
M.Faisal Abdullah
Keyword(s):  
Secondary Data ◽  
Capital Adequacy ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Analysis Techniques ◽  
Independent Variables ◽  
Significant Negative Effect ◽  
Panel Data Regression ◽  
Capital Adequacy Ratio ◽  
Negative Effect

This study aims to analyze the influence of the independent variables, namely the BI Rate, Third Party Funds (DPK), Capitalization of Adequacy Ratio (CAR) and Operational Income Costs (BOPO) on Islamic bank financing in Indonesia 2010 - 2017. This type of research is Quantitative Inferential . The required data is secondary data from the financial statements of five Islamic banks in Indonesia 2010-2017.4. Data analysis techniques are panel data regression analysis techniques. The results of the study show that the BI Rate variable has a significant negative effect on financing, Third Party Funds (TPF) have a significant positive relationship to financing, while for the variable Capital Adequacy Ratio (CAR) has a significant positive effect on financing and for Operational Income Operating Costs (BOPO) no significant negative effect on financing. The coefficient of determination (R ^ 2) is 0.938581 or 93.85%. This shows that the ability of the independent variables namely BI Rate, DPK, CAR and BOPO explain the dependent variable of Financing at 93.85% and the remaining 6.15% can be explained by other variables.

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals PENINGKATAN TARIF CUKAI ROKOK DAN DAMPAKNYA TERHADAP PEREKONOMIAN DAN PENDAPATAN SEKTORAL JAWA TENGAH

KINERJA ◽  
2017 ◽  
Vol 19 (2) ◽  
pp. 99
Author(s):  
Fatoni Ashar ◽  
Firmansyah ,
Keyword(s):  
Panel Data ◽  
Household Income ◽  
Fixed Effect Model ◽  
Cigarette Consumption ◽  
Input Output ◽  
Output Analysis ◽  
Central Java ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study analyzes the effect of excise of cigarette price changes to the consumption of cigarette and Central Java’s economy and household income. In the first stage, with employing panel data regression model,i.e. fixed effect model (FEM) which include 35 regencies/cities in Central Java Province during 2009-2013, the study examines the effect of cigarette excise to cigarette consumption. On the next stage, the study simulatesthe impact of cigarette consumption shock to the Central Java’s sectoral economy and household income using the Central Java 2013 Input-Output table. The findings indicate that the cigarette excise has a tradeoff effect tohousehold’s cigarette consumption. The increase of cigarette excise reduces cigarette consumption, and next, reduces output and sectoral household income. The cigarettes industries suffered the highest impact of thedecrease of the cigarette consumption, followed by other sectors which is has a high link to cigarette industries such as agricultures and tobacco sectors.Keywords: cigarette, excise, panel data regression, input-output analysis

scholarly journals QUALITY STUDY OF HUMAN DEVELOPMENT AND POVERTY IN MADURA ISLAND

2020 ◽  
Vol 17 (2) ◽  
pp. 175
Author(s):  
Dwi Susilowati ◽  
Sri Joko ◽  
Risky Angga Pramuja
Keyword(s):  
Panel Data ◽  
Confidence Level ◽  
Positive Direction ◽  
Unemployment Rates ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Variable Consumption

This study aims to find out the most dominant factors and determine the districts in Madura that require special attention from the observed model so that it can provide benefits for policymakers, and the research method used is panel data with the OLS square approach. The results of panel data regression with the fix effect model show the results that the variables that have a positive and significant influence are the GRDP at a 5% confidence level in the GRDP variable with a positive direction while the open unemployment variable has a significant negative effect having a 6% confidence level with a negative direction. Variable consumption expenditure does not have a significant effect but has a positive direction. Intercept values differ in each district which shows the uniqueness of the model of the fixed effect. The highest intercept values were Pamekasan Sampang, Bangkalan and Sumenep. From the results of the HDI classification, the Sampang has a low classification of the district vocationally on Madura Island. The results of the classification of expenditure of basic and lowest consumption of staples in 2012 and 2018 were Pamekasan and Sumenep. The results of the classification of the highest open unemployment rates were in Bangkalan in 2012 and 2018. The lowest GRDP classification was in Pamekasan districts in 2012 and 2017.

scholarly journals THE EFFECT OF MINIMUM WAGE, INVESTMENT, GRDP, AND TECHNOLOGY INDEX ON INDONESIAN LABOR ABSORPTION

2021 ◽  
Vol 6 (1) ◽  
pp. 82
Author(s):  
Siti Safi'atul Ummah
Keyword(s):  
Minimum Wage ◽  
Development Process ◽  
Hypothesis Test ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Analysis Techniques ◽  
Independent Variables ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Labor issues become an obstacle to the development process in a country. This problem arises due to a lack of employment opportunities, so that the existing workforce is not maximally absorbed. This problem is not spared from several development factors including the minimum wage, investment, GRDP and technology index. With the aim of knowing the influence of the minimum wage, investment, GRDP and technology index variables with the Indonesian labor absorption variable in 2015-2019. Using secondary data obtained from BPS Indonesia and using panel data regression analysis techniques with the Fixed Effect model as the selected model and using classical assumption tests and hypothesis testing. The results of the hypothesis test show that the influence of the minimum wage, investment, GRDP and technology index variables has an effect on the labor absorption variable simultaneously. The magnitude of the effect (R²) by all independent variables shows that the minimum wage, investment, GRDP and technology index have an effect of 99.82% on the depnden variable (labor absorption).

scholarly journals THE EFFECT OF SPIN-OFF POLICY AND MACROECONOMIC FUNDAMENTAL FACTORS ON THIRD PARTY FUNDS AT SHARIA GENERAL BANKS

2021 ◽  
Vol 5 (1) ◽  
pp. 08-22
Author(s):  
Fatima Tuzzahara Alkaf ◽  
Nana Nawasiah
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Third Party ◽  
Financial Report ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Report Data ◽  
The Government

In enhancing the development of Islamic banking, the government issued Law No. 21 of 2008 concerning spin-off. With this policy, it is expected that Islamic Commercial Banks will develop. This study aims to implement panel data regression to examine in depth the influence of spin-off policy and macroeconomic fundamental factors on third party funds of Sharia General Banks. Sampling by purposive sampling, six (6) Sharia General Banks that have conducted spin-offs and financial report data from 2014-2018. The Chow Test and the Hausman Test show that the panel data regression model that matches the variable data used in 2014-2018 is the Random Effect Model (REM). Empirical results show that during the 2014-2018 period, the spin-off policy and macroeconomic fundamental factors had a significant effect on the bank's third-party funds simultaneously. Partially, only the spin-off policy has a significant effect on third party funds.

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