The Influence Of Financing And Third Party Funds (Dpk) Towards Roa Of Islamic Rural Banks (Bprs) In Sumatera Barat

IKONOMIKA ◽  
2020 ◽  
Vol 5 (2) ◽  
pp. 157-174
Author(s):  
Rizal Rizal (Iain Batusangkar, Indonesia) ◽  
Khairil Faizal Khairi (Universiti Sains Islam, Malaysia) ◽  
Ifelda Nengsih (Iain Batusangkar, Indonesia)
Keyword(s):  
Panel Data ◽  
Significant Influence ◽  
Time Series Data ◽  
Field Research ◽  
Secondary Data ◽  
Financial Statements ◽  
Third Party ◽  
Series Data ◽  
Financial Service Authority ◽  
Return On Assets

This research aims to investigate the influence of financing and Third Party Funds (DPK) towards the Return on Assets (ROA) of Islamic Rural Banks (BPRS) in West Sumatera. This field research is a quantitative study with seven PT BPRS in West Sumatera as the object of the research. This research uses secondary data in the form of panel data which combined cross section and time series data. The panel data are quarterly financial statements from 2016 to 2018 which are recorded in Financial Service Authority (OJK). The result of this research shows financing and third party funds (DPK) influence ROA in the amount of 59,65% simultaneously. The rest of it are influenced by other factors that are not investigated. Partially, financing is the only subject that has influence toward ROA. Meanwhile, third party funds had no significant influence towards ROA of seven BPRS in West Sumatera. This case is interesting to be researched since quantitative data reflects fluctuation based on financing from 2016 until 2018 while DPK tend to increase. However, financing is the only subject that has significant influence towards ROA.

PENGARUH INFORMASI AKUNTANSI TERHADAP RETURN SAHAM (Studi Pada PerusahaanLQ-45 Di Bursa Efek Jakarta)

2016 ◽  
Vol 6 (2) ◽  
pp. 22
Author(s):  
Norsain ,
Keyword(s):  
Panel Data ◽  
Stock Returns ◽  
Stock Return ◽  
Time Series Data ◽  
Stock Exchange ◽  
Secondary Data ◽  
Financial Statements ◽  
Series Data ◽  
Return On Assets ◽  
Investment Returns

The use of financial information through the financial statements as a result of an accounting process in the company is an important information in analyzing investment returns in the long term. Through this analysis the investor will be able to assess the ability of a company's profitability, the quality of management performance, as well as future prospects of the company.               Data used in this study is panel data, which is a combination of cross section and time series data 45 company financial statements as sample the period 2010 to 2013. The data sources used mainly in this research is secondary data, including data in the form of documents and information relating to the object of a study published by the Indonesia Stock Exchange through the authority of Capital Market information Center accessed from the official website of the Stock Exchange.               Once the data is collected, the data were analyzed using Eviews program for this type of panel data. Beginning with the analysis of model selection, and then proceed with the classical assumption. The results of the study variables X1 Price Earning Ratio (PER), no effect on variable Y (stock returns), Variable X2 Price to Book Value (PBV) have a significant effect on the variable Y (stock returns), Variable X3 Return on Assets (ROA) significantly the variable Y (stock return). Simultaneously variable PER, PBV, ROA significant effect on the level of α = 10%.Keywords: PER, PBV, ROA, Stock Return

scholarly journals Pengaruh Rasio Kinerja Bank Terhadap Profitabilitas Industri Bank Umum Syariah di Indonesia

2019 ◽  
Vol 5 (3) ◽  
pp. 217
Author(s):  
Felix Efendy ◽  
Salman Fathoni
Keyword(s):  
Commercial Bank ◽  
Financial Services ◽  
Time Series Data ◽  
Multiple Linear Regression Model ◽  
Secondary Data ◽  
Series Data ◽  
Return On Assets ◽  
Statistical Tool ◽  
Negative Effect ◽  
Positive Effect

The purpose of this study was to determine and analyze the effect of the level of bank health ratios measured by BOPO, FDR and NPF on increasing the profitability of the Sharia Commercial Bank industry in Indonesia, which is proxied by ROA. The data used in this study are secondary data including operational efficiency (BOPO), liquidity (FDR), Non Performing Finance (NPF) and Return On Assets (ROA) in the sharia commercial bank industry registered at Bank Indonesia. The data is a monthly time series data from 2015-2018 obtained through the official sharia banking statistics website, Financial Services Authority (https://www.ojk.go.id). To analyze it, researchers used a multiple linear regression model with statistical tool software EViews 9. From the observations and analysis of the data that has been done, the conclusions in this study are the BOPO, FDR and NPF on ROA which is an indicator of the Bank's health to measure profitability has a high relationship . The BOPO variable partially has a significant negative effect on profitability (ROA). FDR partially has a negative and significant effect on ROA. NPF partially has no positive effect on profitability.

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

Analisis pengaruh makroekonomi terhadap dana pihak ketiga (DPK) dengan equivalent rate (ER) sebagai variabel intervening

2021 ◽  
pp. 100-123
Author(s):  
Salma Firdayanti Salma ◽  
Yusvita Nena Arinta Nena
Keyword(s):  
Exchange Rate ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
Third Party ◽  
Series Data ◽  
Equivalent Rate ◽  
Negative Effect ◽  
Party Funding

This study aims to determine the Effect of Macroeconomics on Third-Party Funding (TPF) with the Equivalent Rate (ER) as the Intervening Variable (Case Study of Islamic Commercial Banks Period 2016-2020). This type of research is quantitative research which utilizes secondary data in the form of time-series data. Purposive sampling was used as the sampling method. The data that has been obtained later processed using the E-views version 9 application tool. Based on the results, it is shown that the Inflation, BI Rate, and Equivalent Ratevariables partially have a negative effect on TPF, while the Exchange Rate has a positive effect on TPF. Moreover, the variables of Inflation, Exchange Rate, and BI Rate have a positive and significant effect on the Equivalent Rate (ER). It is also found thatThe Equivalent Rate variable cannot mediate the effect of Inflation, Exchange Rate, and BI Rate on TPF.

scholarly journals Determinant factors affecting the improvement of education index

2021 ◽  
Vol 25 (1) ◽  
Author(s):  
Jalil Setiawan Jamal ◽  
Muslim Salam ◽  
Andi Nixia Tenriawaru ◽  
Didi Rukmana ◽  
Muhammad Hatta Jamil ◽  
...  
Keyword(s):  
High School ◽  
Elementary School ◽  
Panel Data ◽  
Junior High School ◽  
Time Series Data ◽  
Junior High ◽  
Secondary Data ◽  
Series Data ◽  
Factors Affecting ◽  
Section Data

The Human Development Index (HDI) of the Selayar Islands Regency experienced an insignificant improvement. The low education index causes the low HDI achievement of the Selayar Islands Regency because the achievement of education index is lower than the health index and the expenditure index. Therefore, it is very necessary to improve the education index. This study aims to analyze the factors that influence the education index. This study uses secondary data in the form of panel data which is a combination of time series data from 2014 to 2019 and cross section data from 11 sub-districts. Panel data to measure the factors that affect the Education Index were analyzed using regression analysis. The results showed that the teacher to student ratio at elementary school had a negative effect on the education index, the class to student ratio at elementary school had a positive effect on the education index, while the school to student ratio at elementary school, school to student ratio at junior high school, class to student ratio at junior high school and teacher to student ratio at junior high school had no effect on the education index.

scholarly journals Analisis Pengaruh Tingkat Inflasi Dan Tingkat Bagi Hasil Terhadap Profitabilitas Pada Bank Umum Syariah Di Indonesia

2021 ◽  
Vol 9 (2) ◽  
pp. 121-130
Author(s):  
Destiana Dwi Nita ◽  
Muhammad Ariffin ◽  
Neni Nurisniani
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Inflation Rate ◽  
Regression Coefficient ◽  
Secondary Data ◽  
Profit Sharing ◽  
Series Data ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the effect of Inflation Rate and Profit Sharing Rate on Sharia Commercial Bank Profitability in Indonesia. The independent variable (independent) in this study is the level of inflation and the level of profit sharing, while profitability is the dependent variable. In this study, researchers used Return on Assets (ROA) as an indicator for profitability. The method used is descriptive method and verification method. The data used are secondary data sourced from Financial Statements that have been published by Bank Muamalat Indonesia, Bank Rakyat Indonesia (BRI) Syariah, Bank Bukopin Syariah, Bank Negara Indonesia (BNI) Syariah, and Bank Central Asia (BCA) Syariah. The data analysis technique used is panel data regression analysis and classic assumption test, because the data used are secondary data and the type of data used is a combination of cross section data and time series data. Data processing techniques using the help of Eviews 9 program. Based on data analysis that has been done using panel data regression and classical assumption tests, it is found that the Inflation Rate has a negative and significant effect on Return on Assets (ROA), this result is evidenced by the significance value of 0,0012 and the regression coefficient shows a figure of -0,0817. Level of Profit Sharing is positive and significant effect, this result is evidenced by the significance value of 0.0000 and the regression coefficient shows a figure of 0,1644. The coefficient of determination (R-square) value is 77,26%.   Keywords: Inflation Rate, Profit Sharing Rate, Return on Assets (ROA).

Moderasi NPF terhadap Intervensi BOPO dan CAR pada Kinerja Keuangan Bank Syariah di Indnesia 2019-2021

2021 ◽  
Vol 4 (2) ◽  
pp. 328-344
Author(s):  
Toha Barizi ◽  
Rifky Fatoni ◽  
Zuni Fitrowati ◽  
Umrotul Khasanah
Keyword(s):  
Financial Services ◽  
Time Series Data ◽  
Secondary Data ◽  
Capital Adequacy ◽  
Series Data ◽  
Return On Assets ◽  
Operating Income ◽  
Capital Adequacy Ratio ◽  
Considerable Impact ◽  
The Impact

The goal of this research is to look into the impact of Operating Costs on Operating Income (BOPO) and Capital Adequacy Ratio (CAR) on the Financial Performance of Islamic Commercial Banks, which is measured using one of the profitability ratio indicators, Return on Assets (ROA). This study employs a quantitative approach by employing explanatory research, which tries to examine the theories and hypotheses that exist in this study in order to determine whether they strengthen or weaken earlier theories and hypotheses. The study relied on secondary data, specifically information gathered from the ojk.ac.id website. This research uses monthly time series data from the Financial Services Authority from 2019 to 2021, with a sample size of 26 months. Multiple linear regression and moderated regression analysis were employed in this study's regression model (MRA). The findings of this study revealed that BOPO had a considerable impact on ROA, although CAR had no such impact, and that NPF, as a moderating variable, was able to moderate the impact of BOPO and CAR on ROA.

scholarly journals ANALISIS PERMINTAAN TENAGA KERJA PADA PERUSAHAAN PERKEBUNAN SAWIT (Studi Kasus PT.SOCFINDO Perkebunan Seunagan Kabupaten Nagan Raya)

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Leli Putri Ansari
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Significant Influence ◽  
Oil Palm ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Model ◽  
Simultaneous Testing

AbstractThis study aims to analyze the effect of wages and production on oil palm plantation companies, a case study of PT.Socfindo Seunagan  Nagan Raya district. This research methode uses multiple liniear regression data analysis model. This research is quantitative and time series data for the period of 2005-2016 and data in the form of secondary data obtained from PT.Socfindo Seunagan  Nagan Raya district and Central Bureau of statistics (BPS) Nagan Raya district.Based on the results of research partial testing that wages have a significant influence on labor for demand. Where as production has no significant effect on the demand  for labor. Simultaneous testing that wages and production effect labor for demand Keyword: Wage, production, and labor for demand

scholarly journals Analisis Pengaruh Kepemilikan Institusional, Kepemilikan Manajerial, Pertumbuhan Perusahaan, dan Ukuran Perusahaan Terhadap Kebijakan Utang

2020 ◽  
Vol 3 (2) ◽  
pp. 267-276
Author(s):  
Intan Rahma Sari
Keyword(s):  
Panel Data ◽  
Time Series Data ◽  
Secondary Data ◽  
Institutional Ownership ◽  
Series Data ◽  
Corporate Debt ◽  
Managerial Ownership ◽  
Company Size ◽  
Company Growth ◽  
Debt Policy

The purpose of this study was to examine the effect of Institutional Ownership, Managerial Owner ship, Company Growth and Company Size on Debt Policy (Empirical Study of Banking Companies Listed on the Indonesia Stock Exchange in 2012-2016). Method/Approach The data in this study is secondary data in the form of panel data. Secondary data is data obtained not directly from the object or subject of research. Panel data is a combination of time series data and cross data. The results of, Institutional Ownership Variable proved to show a positive value. This research has proven that institutional ownership has a positive but not significant effect on corporate debt policy. This is because if the company uses a large amount of debt to fund high-risk projects, has the possibility of failure, then the institutional shareholders can immediately sell their shares. Managerial Ownership Variables are shown to show negative values. This is because share ownership by management has a negative causal relationship and substitution with debt. The Company's Growth Variable is proven by its debt policy showing a negative value. Company growth has a negative but not significant effect on corporate debt policy. Company size has a negative but significant influence on corporate debt policy. The conclusions of the study, Institutional Ownership, Managerial Ownership and Corporate Growth influence but not significant and significant results obtained on the size of the company on debt policy. Institutional ownership, managerial ownership, company growth and company size jointly influence but not significantly to debt policy. Abstrak Tujuan Penelitian ini adalah untuk menguji pengaruh Kepemilikan Institusional, Kepemilikan Manajerial, Pertumbuhan Perusahaan dan Ukuran Perusahaan terhadap Kebijakan Utang (Studi Empiris Perusahaan Perbankan Yang Terdaftar di Bursa Efek Indonesia Tahun 2012-2016). Metode/Pendekatan Data dalam penelitian ini merupakan data sekunder berbentuk data panel. Data sekunder di dapatkan secara tidak langsung dari objek atau subjek penelitian. Data panel merupakan data gabungan antara data runtut waktu dan data silang. Hasil penelitian, Variabel Kepemilikan Institusional (Inst) terbukti menunjukkan nilai positif. Penelitian ini berhasil membuktikan bahwa kepemilikan institusional memiliki pengaruh positif namun tidak signifikan terhadap kebijakan utang perusahaan. Hal ini memungkinkan, jika perusahaan menggunakan hutang dalam jumlah yang besar untuk mendanai proyek yang berisiko tinggi, maka kemungkinan kegagalan bisa terjadi, oleh karena itu pemegang saham institusional dapat langsung menjual saham yang dimilikinya. Variabel Kepemilikan Manajerial terbukti menunjukkan nilai negatif. Hal ini dikarenakan Kepemilikan saham oleh manajemen memiliki hubungan kausal negatif dan substitusi dengan hutang. Variabel Pertumbuhan Perusahaan membuktikan bahwa kebijakan utang menunjukkan nilai negatif. Penelitian ini berhasil membuktikan bahwa pertumbuhan perusahan memiliki pengaruh negatif yang tidak signifikan terhadap kebijakan utang perusahaan. Pertumbuhan perusahaan dapat dilihat dari total aktiva, tidak semuanya berasal dari hutang. Variabel Ukuran perusahaan (LN) terbukti menunjukkan nilai negatif. Penelitian ini berhasil membuktikan bahwa ukuran perusahaan memiliki pengaruh negatif tidak signifikan terhadap kebijakan utang perusahaan. Simpulan penelitian, Kepemilikan Institusional, Kepemilikan Manajerial dan Pertumbuhan Perusahaan berpengaruh tidak signifikan dan hasil signifikan didapat pada ukuran perusahaan terhadap kebijakan utang. Kepemilikan Institusional, Kepemilikan Manajerial, Pertumbuhan Perusahaan dan Ukuran Perusahaan secara bersama-sama berpengaruh tidak signifikan terhadap kebijakan utang. Kata Kunci : Kepemilikan Institusional, Manajerial, Pertumbuhan dan Ukuran Perusahaan

scholarly journals The Effect of Economic Growth, HDI, District/City Minimum Wage and Unemployment on Inequity of Income Distribution in Province of D.I Yogyakarta (2010-2018)

2021 ◽  
Vol 36 (2) ◽  
pp. 170
Author(s):  
Krisna Gita Suryani ◽  
Nenik Woyanti
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Income Distribution ◽  
Minimum Wage ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Section Data ◽  
Negative Effect

The high inequality of income distribution that occurs in the Special Region of Yogyakarta Province shows that economic development has not succeeded in bringing equity to the community. For this reason, an analysis is needed to determine the factors that inequality of income distribution in order to reduce inequality of income distribution that occurs in the Province of DI Yogyakarta. The purpose of this study was to determine the effect of economic growth, HDI, Distric/City Minimum Wage, and Unemployment. This research uses secondary data obtained from the Central Statistics Agency of D.I Yogyakarta Province. The data in this research is panel data consisting of cross section data from 5 districs/cities and time series data for 2010-2018. The data analysis used was panel data regression analysis with the Fixed Effect regression model. The results of the regression analysis show that economic growth does not have a significant effect on inequality of income distribution. Meanwhile, HDI, Distric/City Minimum Wages and Unemployment have a significant effect on the inequality of income distribution. HDI has a negative effect, while Distric/City Minimum Wage and Unemployment have a positive effect on inequality of income distributed in the Province of DI Yogyakarta in 2010-2018

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