scholarly journals PENGARUH BAGI HASIL DAN PENDAPATAN PER KAPITA TERHADAP PENINGKATAN DANA PIHAK KETIGA

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Lina Marlina ◽  
Jajang Iskandar
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Capita Income ◽  
Field Research ◽  
Profit Sharing ◽  
Third Party ◽  
Per Capita Income ◽  
Test Tool ◽  
Per Capita

The purpose of this study is to find out how profit sharing and per capita income affectson third party funds both partially and simultaneously. The research was conducted at BankJabar Banten Syariah KCP Singaparna period 2011 - 2013. In this study the authors used thecorrelational method with a quantitative approach. Data are gained through field research,using multiple regression analysis as the test tool. The results of the study show that profitsharing, per capita income and third party funds are fluctuatively increasing as well asdecreasing; Profit Sharing partially has a significant effect on Third Party Funds; Per Capitaincome partially has a significant effect on Third Party Funds; Profit Sharing and Per CapitaIncome simultaneously have a significant effect on Third Party Funds at Bank Jabar BantenSyariah KCP Singaparna in the period 2011 - 2013

scholarly journals ANALISIS PERANAN USAHA KECIL DAN MENENGAH TERHADAP PENYERAPAN TENAGA KERJA DI KABUPATEN KEBUMEN

2019 ◽  
Vol 18 (1) ◽  
pp. 26-35
Author(s):  
Anton Prasetyo ◽  
Miftahul Huda
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Empirical Data ◽  
Small And Medium Enterprises ◽  
Research Data ◽  
Sales Volume ◽  
Test Tool ◽  
Medium Enterprises

This research aims to analyze the factors that influence the role of Small and Medium Enterprises (SMEs) on employment, namely capital, sales volume, type of business, length of business, and wages. Empirical data is presented to prove that the role of small and medium enterprises on employment is influenced by capital, sales volume, type of business, length of business, and wages. Multiple regression analysis through the SPSS program was used as a research test tool. The research data was obtained from SMEs businesses, Central Bureau of Statistics and the SMEs Office to test scientifically whether capital, sales volume, type of business, duration of business, and wages affect employment. Research results show that the duration of the business influences the absorption of labor while capital, sales volume, type of business, and wages do not affect employment. Keywords: SMEs, capital, sales volume, type of business, length of business, wages

scholarly journals ANALISIS PERMINTAAN KEDELAI DI INDONESIA

2017 ◽  
Vol 12 (1) ◽  
pp. 42
Author(s):  
Septi Rostika Anjani ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo
Keyword(s):  
Regression Analysis ◽  
Capita Income ◽  
Income Elasticity ◽  
Descriptive Analysis ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Per Capita Income ◽  
Elasticity Of Demand ◽  
Per Capita ◽  
Income Elasticity Of Demand

This study aims to analyze the factors that influence the demand of soybean in Indonesia. The research method uses descriptive analysis of secondary data which includes the price of imported soybeans, the price of chicken, per capita  income,  the rate of inflation and import tariff policy  year period 1980-2013 which sourced from FAO  and  other  sources.  Estimation  of  demand  function  using  multiple  linear regression  analysis  were  transformed  in  the  form  of  natural  logarithm.  Regression analysis showed that soybean demand in Indonesia was influenced partially by prices of chicken, per capita income, and the rate of inflation. The price elasticity of demand of soybean in Indonesia is inelastic, that is equal 0,22. While the income elasticity of demand  for  soybeans  is  positive  which  means  that  soy  is  a  staple  item  for  the Indonesian people.

scholarly journals The Effect of Ease of Shopping, Online Customer Reviews and Maslahah Perceptions on Gen Z Online Shopping Decisions (Case Study Of UINSI and UMKT Samarinda Students)

2021 ◽  
Vol 1 ◽  
pp. 179-193
Author(s):  
Rogaina Rogaina ◽  
Tikawati Tikawati
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Online Shopping ◽  
Field Research ◽  
Customer Reviews ◽  
Online Customer Reviews ◽  
Independent Variable

This study aims to examine and analyse the effect of ease of shopping, online customer reviews and perceptions of maslahah on online shopping decisions among UINSI and UMKT Samarinda students. The type of research used is field research. The sample in this study was 198 people who had shopped online. The method of collecting data is a questionnaire is distributed online using Google form. Data analysis used multiple regression analysis. The results showed that of the three variables of ease of shopping, online customer review and perception of maslahah simultaneously affect online shopping decisions. From the calculation of SPSS 23. For the Ftest, it is known that Fcount = 187.146 > Ftable 2.65 with a significance of 0.000 < 0.5. Partially, it is known that the ease of shopping, online customer reviews and the perception of maslahah have a significant effect of online shopping decisions. In addition to the Ftest and t-test, the R2 test is known to have an R square value of 0.743 which means the magnitude of the independent variable 74.3%.

scholarly journals Predictors of Adolescent Academic Achievement: The Role of Individual and Family Socioeconomic Factors

2020 ◽  
Vol 4 (2) ◽  
pp. 105-119
Author(s):  
Melly Latifah ◽  
Rizky Amelia
Keyword(s):  
Academic Achievement ◽  
Regression Analysis ◽  
Capita Income ◽  
Parental Education ◽  
Per Capita Income ◽  
Cognitive Intelligence ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
Per Capita ◽  
Adolescent Academic Achievement

Academic achievement is affected by external and internal factors. This study generally aims to examine the influence of family characteristics (per capita income and parental education), individual characteristics (age and gender), cognitive intelligence, and self-regulated learning toward academic achievement in adolescents. A total of 91 samples (Mage=13.9 years) with the largest percentage of the respondents were women were selected from two different junior high schools in Bogor area. Cognitive intelligence, self-regulated learning, and academic achievement were measured using Riley Inventory Basic of Learning Skills (RIBLS), Motivated Strategies for Learning Questionnaire (MSQL), and student academic record, respectively. The partial regression analysis showed there was a negative effect of mother’s education on self-regulated learning. Gender was found to positively predicted cognitive intelligence. The regression analysis also showed that parental education and cognitive intelligence positively predicted adolescent academic achievement. Per capita income, gender, and self-regulated learning showed no significant effects on academic achievement.

scholarly journals DETERMINASI EKSPOR NON MIGAS INDONESIA KE JEPANG

Media Ekonomi ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 147
Author(s):  
Soeharjoto Soeharjoto
Keyword(s):  
Time Series ◽  
Regression Analysis ◽  
Exchange Rates ◽  
Capita Income ◽  
Oil And Gas ◽  
Time Series Data ◽  
Series Data ◽  
Per Capita Income ◽  
Oil Exports ◽  
Per Capita

<em></em><em><em>This study aims to determine the factors that affect Indonesia's non-oil exports to Japan. The variables used are imports, exchange rates, per capita income, inflation and non-oil exports of Indonesia to Japan</em>. <em>The analytical method used is regression analysis with data used for quarterly time series data from 2005-2016.</em> <em>The results are variable imports of raw and auxiliary materials, cycles, inflation, real Japanese GDP, and the population is able to explain Indonesia's non-oil exports to Japan by 31.3 percent. Imports, exchange rates, per capita income and inflation have a positive and significant effect on non-oil and gas exports to Japan.</em></em><em> </em>

Part V Pass-On, 21 Proving Pass-on

2020 ◽  
Author(s):  
Veljanovski Cento
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Volume Effect ◽  
Event Studies ◽  
Third Party ◽  
Standard Of Proof ◽  
The Past ◽  
Statistical Approaches ◽  
The Way

This chapter addresses the difficulty of establishing pass-on. Indeed, estimating pass-on is difficult and often impossible. Even where estimates of the pass-on rate can be generated, estimates of the overcharge are still required to quantify the amount of pass-on. For indirect purchasers, this will add to the difficulty because they may not have the necessary data and knowledge of successive upstream markets. There is also uncertainty to the standard of proof and evidential burden required to establish credible pass-on rates. However, there are a range of approaches that can be used to estimate or quantify the pass-on rate, which are set out in the European Commission’s Pass-on Guidelines. These include documentary evidence on firms’ pricing policies; economic theory/simulations; evidence on the way the direct and indirect purchasers have passed on cost increases in the past, arguing that they would react similarly to an overcharge; third party research on the way the industry has been passed on in the past; and statistical approaches either using multiple regression analysis, time series analysis, or event studies. The volume effect can be estimated using similar approaches although the Pass-on Guidelines suggest multiple regression analysis and the ‘elasticity approach’.

scholarly journals PERILAKU DANA PIHAK KETIGA DALAM MERESPON PERUBAHAN VARIABEL EKONOMI MAKRO PADA BANK UMUM SWASTA NASIONAL (BUSN) PROVINSI JAWA TIMUR PERIODE 2000-2012

2013 ◽  
Vol 11 (2) ◽  
pp. 184
Author(s):  
Dhurotus Sangadah
Keyword(s):  
Interest Rates ◽  
Capita Income ◽  
Least Square Method ◽  
Equation Model ◽  
Least Square ◽  
Third Party ◽  
Per Capita Income ◽  
Dependent Variables ◽  
Per Capita ◽  
Saving Deposit

The purpose of this reserach is to knowing of responbility of dependent variabel to exchange of makro economics variable at Excahage Commercial Bank province of East Java. The model analysis is Doubled Linear Regression with  employs the OLS (Ordinary Least Square) method. In this research will be used four regression with four dependent variables. In the equation model Saving Deposits, Demand Deposits, Tme Deposits, Third Party Funds are dependent variables and per capita income, interest rate, inflation are independent variables. Result of regression was showed that Saving Deposit more sensitive to respon change of inflations variable that showed by its probability is 0,0024. Time deposit moere sensitive to respon change of interest rates variable taht  showed by its probability was 0,0012. Per capita income  has same respon of all dependent variable that swowed by its probability was 0,0000

scholarly journals Economic Factors behind Social Entrepreneurship in Bangladesh

2019 ◽  
Vol 2 (2) ◽  
pp. p115
Author(s):  
Farhana Yasmin ◽  
Farhana Ferdousi Aziz
Keyword(s):  
Human Capital ◽  
Regression Analysis ◽  
Labor Force ◽  
Unemployment Rate ◽  
Capita Income ◽  
The Self ◽  
Per Capita Income ◽  
Literacy Rate ◽  
Self Employment ◽  
Per Capita

Bangladesh has pool of entrepreneurs whereas there are also new establishments; new employment opportunities and so are the income sources. For the better measurement of entrepreneurship characteristics, the growth and different indicators impact on entrepreneurship needs to be identified. Thus this paper tries to find out the key economic indicators of entrepreneurship in the context of Bangladesh. The research is based on secondary research; has used entrepreneurship as a dependent variable proxied by self-employment and seven independent variables—per capita income, unemployment rate, labor force, industrial structure change, capital, human capital and literacy rate. Two regression models have been used encompassing the stated variable data from year 2008 to 2018. In the first regression analysis it has been tried to identify whether the model can be constructed with the overall economic variables with the self employment. At second regression model it has been tried to find out whether there is the explain ability of the variables result in the regression analysis and what is the degree and pattern of the relationship. The research shows that literacy rate and human capital have aligned with the self employment. But all the other variables are not matched with the self employment and could not provide the support for self employment to thrive. And the linear regression analysis shows that per capita income, labor force and literacy rate play the most important role in case of nourishing self employment. Unemployment rate is found as contradictory with the findings in the context of Bangladesh.

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