scholarly journals Dominant Variables That Affect The Level of Profitability in Sharia Banks and Conventional Banks

2017 ◽  
Vol 3 (2) ◽  
pp. 126
Author(s):  
Irawati Junaeni
Keyword(s):  
Significant Influence ◽  
Commercial Banks ◽  
Random Effect ◽  
Random Effect Model ◽  
Estimation Model ◽  
Internal Factors ◽  
Regression Methods ◽  
Effect Model ◽  
Panel Data Regression ◽  
Conventional Banks

<p>This study aims to analyze the dominant factors that affect profitability in the Sharia Commercial Bank and Conventional Bank Indonesia Year 2009-2014. The sample used in this study is 7 Sharia Commercial Banks and 10 Conventional Commercial Banks in Indonesia. The technic sample used in this study by purposive sampling method. This research uses panel data regression methods and estimation model used is a Random Effect Model. The result of research on sharia bank of internal factors concludes that BOPO variable has a significant influence on return on asset (ROA) and from external factors of BI Rate significant effect on return on asset (ROA). While conventional banks of internal factors conclude that BOPO and NPL variable have significant influence to return on asset (ROA) and from external factor conclude that BI Rate has a significant effect to return on asset ROA). In this research, BOPO variable has a more dominant influence on  ROA than other variables.</p>

scholarly journals Human Impact Promotes Sustainable Corn Production in Hungary

2020 ◽  
Vol 12 (17) ◽  
pp. 6784 ◽  
Author(s):  
Tibor András Marton ◽  
Anna Kis ◽  
Anna Zubor-Nemes ◽  
Anikó Kern ◽  
Nándor Fodor
Keyword(s):  
Climate Change ◽  
Human Impact ◽  
Random Effect ◽  
Random Effect Model ◽  
Corn Yield ◽  
Regression Methods ◽  
Weather Events ◽  
Effect Model ◽  
Panel Data Regression ◽  
Carbon Dioxide Co2

We aim to predict Hungarian corn yields for the period of 2020–2100. The purpose of the study was to mutually consider the environmental impact of climate change and the potential human impact indicators towards sustaining corn yield development in the future. Panel data regression methods were elaborated on historic observations (1970–2018) to impose statistical inferences with simulated weather events (2020–2100) and to consider developing human impact for sustainable intensification. The within-between random effect model was performed with three generic specifications to address time constant indicators as well. Our analysis on a gridded Hungarian database confirms that rising temperature and decreasing precipitation will negatively affect corn yields unless human impact dissolves the climate-induced challenges. We addressed the effect of elevated carbon dioxide (CO2) as an important factor of diverse human impact. By superposing the human impact on the projected future yields, we confirm that the negative prospects of climate change can be defeated.

scholarly journals Islamic social reporting disclosure as a form of social responsibility of Islamic banks in Indonesia

2020 ◽  
Vol 15 (2) ◽  
pp. 47-55
Author(s):  
Kuat Waluyo Jati ◽  
Linda Agustina ◽  
Indah Muliasari ◽  
Diah Armeliza
Keyword(s):  
Social Responsibility ◽  
Commercial Banks ◽  
Random Effect ◽  
Random Effect Model ◽  
Sampling Technique ◽  
Social Reporting ◽  
Units Of Analysis ◽  
Effect Model ◽  
Panel Data Regression ◽  
Corporate Social

Sharia-compliant companies had to add Islamic Social Reporting when disclosing Corporate Social Responsibility information due to its characteristics. Sharia-compliant companies in Indonesia still do not do this much, and it is very interesting to study, because every sharia-based entity must comply with sharia provisions in all aspects of its activities, including when compiling social reporting. The purpose of this study is to analyze the influence of profitability, liquidity, leverage, and an Islamic Governance Score on Islamic Social Reporting in Islamic commercial banks in Indonesia. The sampling is carried out using a purposive sampling technique for up to 10 Islamic commercial banks with a six-year observation period, so there are 60 units of analysis. The data are collected using a documentation technique. The analysis in the study uses panel data regression. Based on a Random Effect Model, the study showed that profitability and leverage do not affect Islamic Social Reporting, while liquidity and the Islamic Governance Score had an impact on the Islamic Social Reporting.

scholarly journals Effect of Special Allocation Funds (DAK), Capital Expenditures, and Investment on Economic Growth in the Sulawesi Region

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Fera Nur Ariyani Ibrahim ◽  
Irawati Abdul
Keyword(s):  
Economic Growth ◽  
Significant Influence ◽  
Capital Expenditure ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Capital Expenditures ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze the effect of Special Allocation Funds, Capital Expenditures and Investment on Economic growth in the Sulawesi region. The data used are secondary data obtained from Simreg Bappenas and the Central Statistics Agency during 2007-2016. The unit of analysis is 6 provinces in the Sulawesi region. This study uses a panel data regression model with the Random Effect Model (REM) method. The results of this study indicate that, (i) the Special Allocation Fund has a negative and significant effect on economic growth in the Sulawesi region. (ii) Capital expenditure shows a positive and significant influence on economic growth in the Sulawesi region. (iii) Investment shows a positive and significant influence on economic growth in the Sulawesi region.Keywords: Special Allocation Funds, Capital Expenditures, Investment, Economic Growth, Random Effect Model (REM).

Analisis Pengaruh Kepemilikan Blockholder, Kepemilikan Manajerial, Kepemilikan Institusional, dan Komite Audit terhadap Nilai Perusahaan

2018 ◽  
Vol 2 (1) ◽  
pp. 96-121
Author(s):  
Iwan Wirawardhana ◽  
Meco Sitardja
Keyword(s):  
Firm Value ◽  
Audit Committee ◽  
Stock Exchange ◽  
Random Effect ◽  
Random Effect Model ◽  
Institutional Ownership ◽  
Managerial Ownership ◽  
Estimation Model ◽  
Effect Model ◽  
Positive Effect

The aim of this study is to analyse the effect of Blockholder Ownership, Managerial Ownership,Institutional Ownership, and Audit Committee towards Firm Value. The background of this research isthe agency theory and ownership theory. The population in this study are 46 property companies listedon the Indonesia Stock Exchange (IDX) for the period 2012-2016. By using purposive samplingtechnique, 35 companies are qualified as data samples. This research uses the random effect model asthe estimation model and multiple regression as the method of analysis. The results of this study showsthat Institutional Ownership has a positive effect on Firm Value. Meanwhile, Blockholder Ownership,Managerial Ownership, and Audit Committee have no effect on Firm Value. Moreover, the F-testimplies that the variables, blockholder ownership, managerial ownership, institutional ownership, andaudit committee, simultaneously influence firm value.

Tingkat Kemiskinan di Sumatra Selatan dan Analisisnya

2020 ◽  
Vol 8 (2) ◽  
pp. 127-133
Author(s):  
Doni Putra ◽  
Rifki Khoirudin
Keyword(s):  
Research Method ◽  
Random Effect ◽  
Random Effect Model ◽  
Poverty Rate ◽  
Variable Number ◽  
Regression Method ◽  
Poverty Level ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the factors that affect the poverty rate of regencies / cities in South Sumatra Province in 2011 to 2017. In this study the factors that affect poverty rates are related to unemployment, HDI, MSE, and population. The research method used is the panel data regression method using the help of Eviews software. The final thanks is the Random Effect Model. The results of this study are the variable Number of Population has a significant effect on the level of poverty in the District / City in South Sumatra Province. However, the Unemployment Rate Variable, HDI, and UMK were not significant to the poverty level in the regencies / cities in South Sumatra Province.

scholarly journals Analysis Of Effect Of ZIS (Zakat, Infaq, And Shadaqah), Regional Domestic Products Of Bruto, Regional Minimum Wage And Inflation On Levels Poverty In Indonesia 2012 – 2016

2019 ◽  
Vol 2 (2) ◽  
pp. 193-211
Author(s):  
Fiky Nila Mustika ◽  
Eni Setyowati ◽  
Azhar Alam
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Random Effect Model ◽  
Secondary Data ◽  
Minimum Wages ◽  
Effect Model ◽  
Panel Data Regression ◽  
The Impact ◽  
Poverty Levels ◽  
Domestic Products

This study investigated the impact of ZIS (Zakat, Infaq, and Sadaqah) Gross Regional Domestic Products, Regional Minimum Wages, and Inflation on Poverty Levels in Indonesia during the 2012-2016 period. .This paper used secondary data in the panel data form. This research conducted a quantitative approach using panel data regression. Based on the results of the panel data testing, the best model chosen is the Random Effect Model (REM). Variables of gross regional domestic products and regional minimum wages have a significant effect on poverty levels in Indonesia while the variables of zakat, infaq, and shadaqah (ZIS) and inflation do not influence the level of poverty in Indonesia.

scholarly journals PENGARUH VARIABEL MAKROEKONOMI TERHADAP DANA PIHAK KETIGA BANK UMUM SYARIAH DI INDONESIA

2020 ◽  
Vol 4 (1) ◽  
pp. 164
Author(s):  
Muhammad Dzulfaqori Jatnika
Keyword(s):  
Interest Rates ◽  
Commercial Banks ◽  
Random Effect ◽  
Random Effect Model ◽  
Least Square ◽  
Third Party ◽  
Ordinary Least Square ◽  
Effect Model ◽  
Per Capita ◽  
The Right

Tujuan penelitian ini  adalah menganalisis pengaruh faktor makroekonomi yaitu nilai tukar, inflasi, suku bunga, dan GDP per kapita terhadap dana pihak ketiga di bank umum Syariah. Penelitian ini merupakan penelitian kuantitatif dengan data sekunder yang berupa data panel. Teknik analisis yang digunakan adalah metode analisis linier berganda Ordinary Least Square (OLS). Hasil uji Hausman menunjukan model yang tepat dalam penelitian ini adalah random effect model. Semua variabel signifikan, variabel inflasi dan nilai tukar memiliki pengaruh positif sedangkan variabel suku bunga dan GDP per kapita memiliki pengaruh yang negatif terhadap dana pihak ketiga di bank umum Syariah. Hasil penelitian ini memiliki implikasi bagi para pelaku usaha perbankan untuk menentukan waktu yang tepat dalam menarik dan menyalurkan dana pihak ketiga dari masyarakat. Dan dapat menjadi acuan untuk mengeluarkan kebijakan terkait bisnisnya. Dan bagi peneliti selanjutnya dapat menjadi acuan untuk mengembangkan kembali penelitian berikutnya. Pada penelitian selanjutnya diharapkan dapat menambah variabel-variabel terkait lainnya selain variabel yang telah diteliti dalam penelitian ini. Kebaruan dalam penelitian ini adalah tambahan variabel yang mempengaruhi dana pihak ketiga dan juga tambahan sampel bank umum Syariah sehingga diharapkan penelitian ini lebih mendalam daripada penelitian sebelumnya.  The purpose of this study is to analyze the influence of macroeconomic factors, namely the exchange rate, inflation, interest rates, and GDP per capita on third party funds in Islamic commercial banks. This research is a quantitative study with secondary data in the form of panel data. The analysis technique used is the Ordinary Least Square (OLS) multiple linear analysis method. The Hausman test results showed the right model in this study was the random effect model. All variables are significant, inflation and exchange rates have a positive effect while interest rates and GDP per capita have a negative effect on third-party funds in Islamic commercial banks. The results of this study have implications for banking businesses to determine the right time in attracting and channelling third party funds from the public. And can be a reference for issuing policies related to business. And for further researchers can be a reference to develop further research. In the next research, it is expected to be able to add other related variables besides the variables that have been examined in this study. The novelty in this study is the addition of variables that affect third party funds and also additional samples of Islamic commercial banks so that this research is expected to be more in-depth than previous research.

scholarly journals DIVERSIFIKASI EKSPOR NON MIGAS INDONESIA KE PASAR NON TRADISIONAL

2020 ◽  
Vol 14 (2) ◽  
pp. 215-238
Author(s):  
Hotsawadi Harahap ◽  
Widyastutik
Keyword(s):  
United Arab Emirates ◽  
Oil And Gas ◽  
Random Effect ◽  
Random Effect Model ◽  
Structural Match ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Oil Exports

Abstrak Penelitian ini bertujuan untuk menganalisis diversifikasi ekspor non migas Indonesia ke pasar non tradisional. Metode penelitian yang digunakan adalah analisis statistik deskriptif dengan pendekatan pengelompokan (clustering), Structural Match Index dan Demand Index, serta regresi data panel. Hasil penelitian menunjukkan bahwa negara yang diidentifikasikan sebagai negara non tradisional potensial adalah Brazil, Pantai Gading, Mesir, Georgia, Jamaica, Kazakhstan, Kuwait, Myanmar, Nigeria, Norway, Oman, Pakistan, Russian Federation, Trinidad and Tobago, Turkey, United Arab Emirates, dan Uruguay. Hasil regresi data panel menunjukkan bahwa Random Effect Model merupakan model yang terbaik untuk menjelaskan faktor-faktor yang memengaruhi ekspor non migas Indonesia ke negara non tradisional. Hasil regresi menunjukkan bahwa GDP riil negara tujuan, populasi negara tujuan, nilai tukar riil, FDI dan kualitas pelabuhan Indonesia berpengaruh signifikan secara statistik terhadap ekspor non migas Indonesia ke negara non tradisional potensial tersebut. Beberapa rekomendasi kebijakan yang perlu dilakukan untuk meningkatkan ekspor non migas ke negara tujuan non tradisional diantaranya perlu dilakukan intelejen pasar mengenai kebutuhan dan selera dari masing-masing negara non tradisional atas produk Indonesia, peningkatan kualitas pelabuhan Indonesia dan kebijakan tambahan yang memberikan insentif untuk menarik Foreign Direct Investment ke Indonesia. Kata Kunci: Diversifikasi Ekspor, Demand Index, Non traditional, Random Effect Model, Structural Match Index   Abstract This study aims to analyze the diversification of Indonesia's non-oil and gas exports to non-traditional markets. The research method used is descriptive statistical analysis with a clustering approach, Structural Match Index and demand index, and panel data regression. The results showed that countries identified as potential non-traditional countries were Brazil, Ivory Coast, Egypt, Georgia, Jamaica, Kazakhstan, Kuwait, Myanmar, Nigeria, Norway, Oman, Pakistan, Russian Federation, Trinidad and Tobago, Turkey, United Arab Emirates, and Uruguay. The panel data regression results show that the random effect model is the best model to explain the factors that influence Indonesia's non-oil exports to non-traditional countries. The results show that the real GDP of the destination country, the population of the destination country, the real exchange rate, FDI and the quality of Indonesia's ports have a statistically significant effect on Indonesia's non-oil exports to these potential non-traditional countries. Then, in this study there are several policy recommendations that need to be done to increase non-oil and gas exports to non-traditional destination countries including market intelligence regarding the needs and tastes of each non-traditional country for Indonesian products, improving the quality of Indonesian ports and additional policies that provide incentives to attract Foreign Direct Investment to Indonesia. Keywords:  Export Diversification, Demand Index, Non-traditional, Random Effect Model, Structural Match Index JEL Classifications: F13, F15, F18

scholarly journals Analisis Faktor-Faktor yang Mempengaruhi Jumlah Penduduk di Kota Semarang Menggunakan Metode Regresi Data Panel

2019 ◽  
Vol 12 (2) ◽  
pp. 36-41
Author(s):  
Prizka rismawati Arum
Keyword(s):  
Panel Data ◽  
Random Effect ◽  
Geographical Area ◽  
Random Effect Model ◽  
Factors Affecting ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Relationship ◽  
Number Of Births

Residents are all people who live in the geographical area of Indonesia for six months or more and or those who have been domiciled for less than six months but aim to settle. Population growth is caused by two components, namely: fertility and mortality. To find out how big the relationship between the  population and the number of births and deaths in each sub-district of Semarang, must observed in several specific time periods and places at once. So in this study, the panel data regression method was used. In panel data regression testing, the results show that the panel data regression model formed to determine the factors that influence the level of population is the random effect model. In this model all assumptions are fulfilled. Significant factors affecting population are number of births. Births and deaths affect the population of 99.95% and the remaining 0.05% is influenced by other factors not examined Penduduk adalah semua orang yang berdomisili di wilayah geografis Indonesia selama enam bulan atau lebih dan atau mereka yang berdomisili kurang dari enam bulan tetapi bertujuan menetap. Pertumbuhan penduduk diakibatkan oleh dua komponen yaitu: fertilitas dan mortalitas. Untuk mengetahui seberapa besar keterkaitan antara jumlah penduduk dengan jumlah kelahiran dan kematian di setiap kecamataan Kota Semarang, harus diamati dalam beberapa periode waktu tertentu dan beberapa tempat secara bersamaan. Sehingga dalam penelitian ini digunakan metode regresi data panel. Dalam pengujian regresi data panel, didapatkan hasil bahwa Model regresi data panel yang terbentuk untuk mengetahui faktor-faktor yang mempengaruhi tingkat jumlah penduduk adalah model random Effect. Pada model tersebut semua asumsi terpenuhi. Faktor yang signifikan mempengaruhi jumlah penduduk adalah jumlah kelahiran. Kelahiran dan kematian mempengaruhi jumlah penduduk sebesar 99.95% dan sisanya sebesar 0.05% dipengaruhi oleh faktor- faktor lain yang tidak di teliti.    

scholarly journals ANALISIS FAKTOR YANG MEMPENGARUHI PRODUKSI TEBU PADA SUB SEKTOR PERKEBUNAN DI PROVINSI JAWA TIMUR TAHUN 2011-2015

2017 ◽  
Vol 15 (2) ◽  
pp. 193
Author(s):  
Moch. Arif Dausin Nazula Achadin
Keyword(s):  
Random Effect ◽  
Random Effect Model ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Land Area ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Production Value ◽  
Plantation Labor

The goal of this research is to know the influence of the land area and the amount of sugar cane plantation labor in the plantation in East Java province year 2011-2015 and analysis whether there is a difference between production of Kabupaten/Kota cane producer on a plantation in East Java province year 2011-2015. Analysis tool used is a panel data regression then do hypothesis testing with F-test, t-test, and the coefficient of Determination () on error rate α = 5%.The results of the regression analysis of the data panel with the selected model is a Random Effect Model showed that the land area of influential labor and significantly to the amount of production value of each 0.97 to land area and 0.04 for amount of labor. While the value of the coefficient of determination () is 0.99 or 99%, this indicates that the ability of the variable land area and the amount of labor in explaining the amount of production of 99%.

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