scholarly journals Analysis Of The Factors That Influence The Growth Of Sharia Insurance Industry Assets In Indonesia (2016-2020 Period)

2021 ◽  
Vol 8 (1) ◽  
pp. 1-14
Author(s):  
Hilman Suryadi
Keyword(s):  
Insurance Industry ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Investment Returns ◽  
Negative Effect ◽  
Monthly Period ◽  
Asset Growth ◽  
Independent Variable ◽  
Islamic Insurance

This study aims to look at the description and influence of contributions, claims, investment returns, inflation, JCI, and BANK INDONESIA SHARIA CERTIFICATE yields on the growth of Sharia insurance industry assets in Indonesia for the 2016-2020 period, both simultaneously and partially. The data used are secondary data for the monthly period in 2016-2020. This study uses multiple linear regression analysis with the help of Eviews 10 software to see the effect of the independent variable on the dependent variable. Based on the research results, simultaneously all variables have a significant effect on asset growth. Partially, the claims variable and the JCI have a significant negative effect on asset growth, while the contribution and investment return variables have a significant positive effect on asset growth, then the inflation variable and BANK INDONESIA SHARIA CERTIFICATE yield have no significant effect on the growth of Islamic insurance industry assets in Indonesia

scholarly journals Determinants of Non Performing Financing (NPF) on Sharia Rural Banks (BPRS) in Indonesia

2019 ◽  
Vol 2 (1) ◽  
pp. 341-353
Author(s):  
Muhammad Muhammad
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Significant Positive Effect ◽  
Independent Variables ◽  
Negative Effect ◽  
External Conditions ◽  
Independent Variable ◽  
Positive Effect ◽  
Good Risk

The purpose of this research is to find out and analyze the determinants of NPF on BPRS in Indonesia in 2011 -2017. The method which is used in this study is a multiple linear regression analysis with independent variables CAR, BPP, inflation, and GDP, while the dependent variable is NPF. The data in this study is secondary data for monthly time from January 2011 - December 2017. The results showed that the independent variables significantly influence NPF simultaneously. While partially CAR has a significant positive effect, BPP has a significant negative effect, inflation has no significant positive effect, and GDP has a significant positive effect on NPF. R2 value is 88.01%, this shows 88.01% variation of the NPF is explained by the independent variable and the remaining 11.99% is explained by other variables outside the model. BPRS needs to carry out good risk management by having to be more sensitive to internal conditions and external conditions of the bank because these conditions can be used as determinants of the type of financing and policies that will be used by the BPRS, so as to control the level of NPF at a reasonable level. Tujuan dari penelitian ini adalah untuk mengetahui dan menganalisis factor penentu NPF pada BPRS di Indonesia padatahun 2011-2017. Metode yang digunakan dalam penelitian ini adalah analisis regresi linier berganda dengan variable bebas CAR, BPP, inflasi, dan PDB, sedangkan variable terikatnya adalah NPF. Data dalam penelitian ini adalah data sekunder untuk waktu bulanan dariJanuari 2011 - Desember 2017. Hasilpenelitian menunjukkan bahwa variable independen secara signifikan mempengaruhi NPF secara bersamaa Sementara sebagian CAR memiliki efek positif yang signifikan, BPP memiliki efek negatif yang signifikan, inflasi tidak memiliki efek positif yang signifikan, dan PDB memilikiefekpositif yang signifikanterhadap NPF. Nilai R2 adalah 88,01%, inimenunjukkanvariasi NPF 88,01% dijelaskan oleh variable independen dan sisanya 11,99% dijelaskan oleh variabel lain di luar model. BPRS perlu melakukan manajemen risiko yang baik dengan harus lebih peka terhadap kondisi internal dan kondisi eksternal bank karena kondisi ini dapat digunakan sebagai penentu jenis pembiayaan dan kebijakan yang akan digunakan oleh BPRS, sehingga dapat mengendalikan tingkat NPF pada tingkat yang wajar.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

scholarly journals PENGARUH INFLASI DAN KURS TERHADAP UJRAH DALAM PEMBIAYAAN MUSYARAKAH MUTANAQISAH PADA PT. BANK MUAMALAT INDONESIA, TBK CABANG PEMATANGSIANTAR

2015 ◽  
Vol 1 (1) ◽  
pp. 86
Author(s):  
Nuri Aslami
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression Analysis ◽  
Field Research ◽  
Secondary Data ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Qualitative Approaches ◽  
Independent Variable

<p>This study aims to determine how the effects of inflation and exchange rate against <em>ujrah</em>, <em>musyarakah</em>, <em>mutanaqisah</em> PT Bank Muamalat Indonesia, Tbk Branch Pematang Siantar. This research is a field research using quantitative and qualitative approaches. The data used are secondary data, ie., data obtained from the Central Statistics Agency report, Report of Bank Indonesia, and the financial statements of PT Bank Muamalat Indonesia, Tbk Branch Pematang Siantar. The data were processed using SPSS 16. The analysis used is multiple linear regression analysis. The results showed that the inflation and the exchange rate (the independent variable) affects <em>ujrah</em> in <em>Musharaka</em>h financing <em>mutanaqisah</em> (dependent variable). The independent variables in this study could explain the change by 3.4% and the rest (96.6%) is explained by other variables beyond the variables used. Partially, the level of significant 5% and t <sub>table</sub> of 2034, inflation and exchange rate does not significantly affect the <em>Musharakah</em> financing <em>ujrah</em> <em>mutanaqisah</em>. This is demonstrated by the t <sub>value</sub> inflation of 0. 489 and t<sub>exchange</sub> rate of 0899.</p>

Kebijakan Pembagian Dividen Perusahaan BUMN Indonesia Periode 2011-2016

2018 ◽  
Vol 17 (1) ◽  
pp. 65
Author(s):  
Siti Nurainul Jannah
Keyword(s):  
Dividend Policy ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Payout Policy ◽  
Company Size ◽  
Dividend Payout ◽  
Independent Variables ◽  
Asset Growth

The purpose of this study is to analyze the factors that influence the dividend payout policy on BUMN companies listed in Indonesia Stock Exchange period 2011-2016. The independent variables used in this research are profitability, liquidity, asset growth, and company size. The method used is the method of quantitative research and the object of research is a state-owned company listed on the Indonesia Stock Exchange. The data used in this study was secondary data in the form of financial statements obtained by data collection techniques using documentation method. The sample used in this research is twelve companies using purposive sampling method. The technique of data analysis using was multiple linear regression analysis using SPSS test tool. The results showed that all independent variables together positive effect on dividend policy. While the t-test results show that only Profitability variables that have a positive and significant influence toward the dividend payout policy. The independent variables liquidity, asset growth, and company size have a positive and insignificant effect on dividend policy. The dividend payout policy is one of the main concerns of the stakeholders. However, this study uses only four independent variables to analyze the factors that influence the dependent variable. The magnitude of influence of all independent variables in this study only 33% and the rest much influenced by other variables outside in this study. Keywords: dividend payout policy, profitability, liquidity, asset growth, company size

scholarly journals Ukuran Dewan Direksi, Aktivitas Komite Audit Dan Ukuran Komite Audit Terhadap Manajemen Laba

2021 ◽  
Vol 5 (1) ◽  
pp. 89-103
Author(s):  
Mei Rinta
Keyword(s):  
Earnings Management ◽  
Audit Committee ◽  
Manufacturing Sector ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Financial Statements ◽  
Multiple Linear Regression Analysis ◽  
Board Of Director ◽  
Negative Effect ◽  
Board Directors

In accordance with the agency theory that management is responsible to the owner, so he will try to keep the performance of financial statements is always good and will act opportunistically to manage earnings if the performance of financial statements shows a decline. Therefore, the role of the board of director and audit committee is needed to protect the interests of the owner and manager. This study aims to investigate the effect of board of directors size, audit committee activities and the size of the audit committee on earnings management. This study uses a quantitative approach using secondary data from 322 samples of companies in the manufacturing sector during the period 2015-2017. The data collected was tested using multiple linear regression analysis techniques. This study produces findings that the size of the board directors have an insignificant negative effect on earnings management, the activities of the audit committee have a significant negative effect on earnings management and the size of the audit committee have an insignificant positive effect on earnings management. Keywords: Board Directors Size, Audit Committee Activities, Audit Committee Size, Earnings Management.

scholarly journals RASIO KEUANGAN DALAM MEMPREDIKSI KEBANGKRUTAN PERUSAHAAN PERTAMBANGAN BATUBARA

Equity ◽  
2019 ◽  
Vol 20 (2) ◽  
pp. 31
Author(s):  
Eva Lisnawati Sidabalok ◽  
Dwi Risma Deviyanti ◽  
Yoremia Lestari Ginting
Keyword(s):  
Coal Mining ◽  
Financial Distress ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Debt Ratio ◽  
Return On Assets ◽  
Current Ratio ◽  
Negative Effect

The purpose of this study was to analyzed how much influence the return on assets (ROA), current ratio (CR), and debt ratio (DR) to the financial distress of coal mining companies listed in Indonesian Stock Exchange the period of 2010 – 2015. This study used secondary data obtained from IDX website with data collection method of purposive sampling then obtained 35 data sample research. Method of data analysis in this research is multiple linear regression analysis. Result of this research is return on assets (ROA) have significant positive effect to financial distress, current ratio (CR) has no positive significant effect on financialdistress, and debt ratio (DR) has a significant negative effect on financial distress of coal mining company. The results of this study obtained R square value of 0.869 which means the company’s financial distress condition can be predicted by using the four independent variabels.

scholarly journals The Effect of Financial and Non-Financial Indicators on the Profitability of Islamic Commercial Banks in Indonesia

2021 ◽  
Vol 17 (1) ◽  
pp. 42-52
Author(s):  
Rafika Mardillasari ◽  
Sufyati HS ◽  
Ali Muktiyanto
Keyword(s):  
Market Share ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Financial Indicators ◽  
Return On Assets ◽  
Directional Effect ◽  
Significant Negative Effect ◽  
Negative Effect

This study aims to analyze the influence of financial indicators (CAR, FDR, BOPO, NIM, NPF) and non-financial (number of bank offices, market share, GCG, CSR) on profitability that is proxied by Return on Assets (ROA) of Islamic Banks in 2014 -2018. The data source used is secondary data from 2014-2018. Data analysis techniques used are descriptive analysis, multiple linear regression analysis and the classic assumption test. Findings. The results of the study are that CAR does not have a significant negative effect. FDR does not have a significant negative directional effect. BOPO has a significant negative effect. NIM has a positive positive significant effect. NPF has a significant negative effect. The number of bank offices has no significant positive effect. Market share does not have a significant negative directional effect. GCG does not have a significant negative effect. CSR has a significant negative effect.  The adjusted R2 value is 73.21% while the remaining 26.79% is influenced by other variables outside the study so the researcher should further add other variables.

scholarly journals Analisis Faktor – Faktor Yang Mempengaruhi Price Earning Ratio pada Perusahaan Manufaktur yang Listing di BEI

2020 ◽  
Vol 30 (12) ◽  
pp. 3220
Author(s):  
Oktavia Komala Sari ◽  
Lilik Handajani ◽  
Endar Pituringsih
Keyword(s):  
Growth Rate ◽  
Regression Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Manufacturing Companies ◽  
Equity Ratio ◽  
Independent Variable ◽  
Profit Growth

This study aims to analyze what factors can affect the Price Earning Ratio (PER). Several factors that are considered to be able to influence PER which is used as a variable in this study, namely Return On Asset (ROA), Debt To Equity Ratio (DER), Dividend Pay Out Ratio (DPR), and Profit Growth Rate. . The population used is manufacturing companies listed on the IDX for the 2016-2018 period. With the purposive sampling technique, obtained 13 companies that will be used as research samples. The data used are secondary data. To see the effect of the independent variable on the dependent variable, multiple linear regression analysis tests were carried out which previously carried out the classical assumption test. Based on the results of the study, it is known that partially the results show that ROA, DPR, and Profit Growth Rate respectively have a significant effect on PER while DER has no significant effect on PER. Keywords: PER; ROA; DER; DPR; Profit Growth Rate.

scholarly journals RISIKO USAHA, RENTABILITAS DAN PERMODALAN SEBAGAI VARIABEL ANTESEDEN KESEHATAN BANK BUKU 3 DAN BUKU 4 DI INDONESIA

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Herizon Herizon ◽  
Nelaini Ika Merty
Keyword(s):  
Linear Regression Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Operating Income ◽  
Operational Risks ◽  
Negative Effect ◽  
Positive Effect ◽  
Collection Methods ◽  
Dominant Influence

Banking world is inseparable from the competition of services, service offerings but also bank’s health scores, so banks are required to maintain their health scores. The purpose of this reseach was to know significantion analyze form that ratio IPR, LDR, IRR, PDN, NPL, BOPO, FBIR, NIM, ROA, and CAR has significant influence to bank’s health scores use RBBR metods. Population that wear in this research is BUKU 3 and BUKU 4 bank in Indonesia. The sample were selected used purposive sampling technique. This reseach use secondary data and data collection methods used documentation method. The type of research conducted in this research is causal research is analyzed using multiple linear regression analysis. Based on the result of the calculation and analysis before the result of the research hypotesis that the IPR, LDR, IRR, PDN, NPL, BOPO, FBIR, NIM, ROA dan CAR have significant effect for soudness score on BUKU 3 and BUKU 4 bank. IPR, IRR, NPL, FBIR, ROA and CAR has a negative effect not significant, LDR, PDN, and NIM has a positive effect not significant, BOPO has a negative effect and significant. Of the ten variables studied  BOPO has dominant influence that is equal 24,4 percent among ten other independent variables. Suggestions for bank sample in this research to maintain its operational risks, minimize operational costs and increase operating income so that the health score is increasing every year.

scholarly journals Perbandingan Pengaruh Working Capital to Total Assets (WCTA), Operating Income to Total Liabilities (OITL), dan Return on Equity (ROE) Terhadap Pertumbuhan Laba Pada Perusahaan Jasa Sub Sektor Transportasi dan Sub Sektor Kosntruksi dan Bangunan Yang Terda

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Rilla Gantino ◽  
Melinda Kusuma Dewi
Keyword(s):  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Cluster Sampling ◽  
Working Capital ◽  
Return On Equity ◽  
Operating Income ◽  
Negative Effect ◽  
Profit Growth

Abstract. This study aimed to analyze the effect of working capital to total assets (WCTA), operating income to total liabilities (OITL), and return on equity (ROE) on profit growth in transportation companies and construction and building companies listed on the Stock Exchange for the 2013-2017 period. The method used is purposive and cluster sampling. This study used is secondary data from the financial statements. Data analysis method used is multiple linear regression analysis. The results show for transportation companies, working capital to total assets (WCTA) and operating income to total liabilities (OITL) have no significant effect on profit growth and return on equity (ROE) have significant positive effect on profit growth. On construction and building companies, working capital to total assets (WCTA) have significant negative effect on profit growth. Operating income to total liabilities (OITL) and return on equity (ROE) have no significant effect on profit growth. Simultaneously both show the same results, the independent variable (WCTA, OITL, and ROE) have a significant effect on the dependent variable (profit growth).   Keywords: : working capital to total assets (WCTA), operating income to total liabilities (OITL), return on equity (ROE), profit growth

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