scholarly journals Multiple Regression Analysis on Influence Factors of Household Cooking Fuels in Indonesia

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Syaiful Mansyur
Keyword(s):  
Regression Analysis ◽  
Prediction Accuracy ◽  
Linear Regression Analysis ◽  
Influence Factors ◽  
Multiple Linear Regression Analysis ◽  
Population Total ◽  
Long Time ◽  
Per Capita ◽  
Cooking Fuels ◽  
Poor Population

<em>One of the causes of the energy crisis is that the number of people is positively correlated with increased consumption of energy, especially fuel and electricity. The need for energy sources, especially for household purposes such as cooking, can be fulfilled by using LPG gas and firewood, as is well known, the LPG and firewood have been used by households in Indonesia since a long time. The variables that affect the use of LPG and firewood by households are "per capita GRDP", poor population, total area, number of islands, forests, and waters. By using multiple linear regression analysis, the prediction of the effect of these variables on the use of LPG and firewood can be obtained. Accuracy results obtained are 64% for both types of fuel. Meanwhile, the completeness of the data and the addition of other variables can improve the results of prediction accuracy.</em>

scholarly journals The influence factors of tax avoidance in Indonesia

2021 ◽  
Vol 10 (5) ◽  
pp. 01-10
Author(s):  
Rosida Ibrahim ◽  
Sutrisno T ◽  
M Khoiru Rusydi
Keyword(s):  
Regression Analysis ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Influence Factors ◽  
Tax Avoidance ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Political Connections ◽  
Family Ownership ◽  
Manufacturing Companies

This study aims to analyze the effect of executive characteristics and family ownership as a stimulus factor for tax avoidance and to see the existence of a political relationship as a moderating variable in the effect of executive characteristics and family ownership on tax avoidance. This research was conducted on manufacturing companies listed on the Indonesia Stock Exchange during 2017-2019. In this study, the sample was determined based on the purposive sampling technique with the criteria that the sample company was manufacture listed on the IDX for three consecutive years from 2017-2019, published an annual report in the 2017-2019 period sequentially, did not experience delisting, was not a company the IPO in 2018-2019, did not experience any losses and did not have an ETR value of more than 1. The research sample was obtained from as many as 138 companies with 3 years of observation. This study uses multiple linear regression analysis (Multiple Regression Analysis) and Moderate Regression Analysis (MRA) using the Statistical Product and Service Solution (SPSS) program. The results showed (I) executive characteristics had a significant positive effect on tax avoidance (II) family ownership had a significant negative effect on tax avoidance (III) political connections were not able to strengthen the executive's positive influence on tax avoidance (IV) political connections weakened family ownership on tax avoidance. This study can also show that the sample companies tend to comply with tax rules, they avoid sanctions and fines, and consider the risk of loss that must be faced by the company when proven to do tax avoidance.

scholarly journals Analysis of Influenced Factors the Reduction of Pig Population in Simanindo District, Samosir Regency

2019 ◽  
Vol 7 (3) ◽  
pp. 29-38
Author(s):  
M Sinurat
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Significant Influence ◽  
Animal Feed ◽  
Linear Regression Analysis ◽  
Population Decline ◽  
Multiple Linear Regression Analysis ◽  
The People ◽  
Long Time ◽  
Rate Of Decline

 The people in Samosir believe that pigs are livestock that bring many benefits. That is why many people raise pigs. At this time there is a downward trend in pig population.This research was conducted at the people's farm in Simanindo District, Samosir Regency.   This study was conducted from May until July 2019 and aimed to investigate the factors that affect the rate of decline in the pig population. The result of research will show dominant factors that causes the rate of decline in the pig population and improvement could be conducted to prevent pig population decline trend. The method used is multiple linear regression analysis with the variable of animal feed limitations, farmer experience, long time raising, local environmental customs, religious holiday production. This research was conducted by asking the farmer directly and giving a randomly selected questionnaire. In total there were 84 pig farmers in 4 villages in each district. The results of this study indicated that the limitations of feed, long time raising, environmental customs around and religious day have a very significant influence on the decline in pig population in Simanindo District Samosir Regency.

scholarly journals PENGARUH IPM, PDRB DAN JUMLAH PENGANGGURAN TERHADAP PENDUDUK MISKIN DI PROVINSI JAMBI

2017 ◽  
Vol 1 (1) ◽  
pp. 113 ◽  
Author(s):  
M Alhudhori
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Positive Relationship ◽  
Central Government ◽  
Linear Regression Analysis ◽  
Negative Relationship ◽  
Multiple Linear Regression Analysis ◽  
The Poor ◽  
Poor Population

In fact the construction economy is rangkayan activity by exploiting the whole potential of the basic capital as epektif and efficiently through perancanaan kesejahtraanin order to improve society. The fulfillment of the basic needs of the society especially health, education, food and nutrition is something very fundamental in the context of the development of community welfare (welfare), human development (humandevelopment) and reduction of poverty (poverty reduction). Strategic issues in the governance of the Jambi province are not much different from the Central Government (the problem), namely the still high number of poverty. Based on multiple linear regression analysis of the HDI have a positive relationship towards the poor population where if the HDI rose 1 percent then the number of poor population will rise of0.358. Based on multiple linear regression analysis of the GDP had a negative relationship toward the poor population, which if GDP rises 1 percent then the number ofpoor population will be down by-0.006. Multiple linear regression analysis based onthe number of unemployment has positive relationship towards the poor population where if the number of unemployed rose 1 percent then the number of poor population will rose by 0.010.Keyword: influence of IPM, PDRB and the number of unemployed

scholarly journals Analysis of Effect of GRDP (Gross Regional Domestic Product) Per Capita, Inequality Distribution Income, Unemployment and HDI (Human Development Index) on Poverty

2020 ◽  
Vol 3 (3) ◽  
pp. 2309-2317
Author(s):  
Murbanto Sinaga
Keyword(s):  
Regression Analysis ◽  
Income Distribution ◽  
Human Development Index ◽  
Linear Regression Analysis ◽  
Secondary Level ◽  
Multiple Linear Regression Analysis ◽  
Research Data ◽  
Independent Variable ◽  
Per Capita ◽  
Senior Secondary

This study aims to examine the effect of GRDP per capita, inequality of income distribution, unemployment, and HDI on poverty. The dependent variable of the study is poverty, while the independent variable used is the GRDP per capita, income distribution inequality, unemployment, and HDI. This research was conducted in Batu Bara Regency and Medan City in the 2004-2018 period. The research data were obtained by accessing the Central Statistics Agency (BPS) website. The method of data analysis uses multiple linear regression analysis. The analysis shows that unemployment is negative and significant towards poverty. Meanwhile, per capita GRDP, income distribution inequality, and HDI have a negative and not significant effect on poverty. This study also found interesting findings, that the equality that occurred in Batu Bara Regency and Medan City was equalization in poverty not equality in welfare. Then, unemployment in Batu Bara Regency and Medan City is likely to be dominated by residents in the upper middle class who have completed Education at the senior secondary level and above.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI KREDIT PERUMAHAN DI INDONESIA

Media Ekonomi ◽  
2019 ◽  
Vol 26 (1) ◽  
pp. 55
Author(s):  
Salsabila Ganthari ◽  
Syafri Syafri
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Foreign Banks ◽  
Regional Government ◽  
Per Capita ◽  
Investment Goods

<em>This study aims to analyze the factors that affect housing loans as seen from four banking groups, the State Bank, Regional Government Banks, Private National Banks, and Foreign Banks and Joint Banks. <em>This study uses quarterly panel data from 2012: 1-2016: 1. Data analysis was performed using multiple linear regression analysis panel data. <em>Houses are an important requirement for all humanity, not only as consumer goods but also investment goods. Banking helps prospective customers by providing a credit facility called Housing Loans. Based on the results of the panel data analysis shows that the level of loans and income per capita have a significant effect on housing loans, while loan to value does not significantly influence housing loans.</em></em></em>

scholarly journals FARMERS EMPOWERMENT ON FOOD SECURITY PROGRAM IN ENGGAL MAJU FARMERS GROUP ASSOCIATION OF KEBUMEN REGENCY

2021 ◽  
Vol 5 (1) ◽  
pp. 110-125
Author(s):  
Ahmad Muhtarom ◽  
Teguh Djuharyanto ◽  
Adhi Iman Sulaiman
Keyword(s):  
Regression Analysis ◽  
Food Security ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Influence Factors ◽  
National Development ◽  
Multiple Linear Regression Analysis ◽  
Farm Size ◽  
Group Association

Agriculture is a strategic sector in national development because it plays an important role infood availability and realizes food security. The Farmer's attitude is one of the determining aspects toinvolvement farmers in empowerment programs for food security. A research, aiming to describe thefarmer's attitude and analyze the farmer's attitudes and the influence factors that influence the farmer'sattitudes on the food security empowerment program. The research used mixed method, the number ofresearch respondents was 60 farmers members of the farmer's group association Enggal Maju KebumenDistrict, determined by cluster random sampling, and for qualitative data, the informants were selectedpurposively. The Farmer's attitude analyzed with descriptive analysis and the influence factors offarmers' attitude used multiple linear regression analysis. Farmer's attitude analyzed with descriptiveanalysis and the influence factors of farmer's attitude used multiple linear regression analysis. Theresult show that the farmer's attitudes in terms of cognitive, affective, and conative components towardthe objectives program were high, farmer's attitudes towards, the target, implementation, and benefits ofthe program were very highly classified. Farm size, personal experience, and the influence of the important people were a significant effect on the farmer's attitudes in food security empowermentprograms. The need to maximize the function of farmer’s groups, consistency of extension workers,agencies and heads of Gapoktan assist and guide farmers so that the sustainability of activities ismaintained 

scholarly journals THE INFLUENCE OF INFRASTRUCTURE, POVERTY AND INCOME ON FOOD SECURITY IN SOUTH SUMATRA PROVINCE

2019 ◽  
Vol 4 (01) ◽  
pp. 26
Author(s):  
Siti Rohima
Keyword(s):  
Regression Analysis ◽  
Food Security ◽  
Linear Regression ◽  
Capita Income ◽  
Quantitative Method ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Income Per Capita ◽  
Per Capita

<p><em>This study aims to determine the influence of infrastructure, poverty and income per capita on food security in districts / cities in South Sumatra Province. The data that has been used in this study are primary and secondary data in the form of data panels in the period 2010 to 2016 with 15 district/city. The method used in the study is a quantitative method with multiple linear regression analysis. The results show that infrastructure, poverty and income per capita significantly influence food security. Meanwhile, per capita income has a large influence on food security compared to poverty and infrastructure in the district / city in South Sumatra Province.</em><em></em><strong><em></em></strong></p><p><strong><em>JEL Classdification: </em></strong><em>I30, I31, I38</em></p><strong><em>Keywords: </em></strong><em>Food Security, Income,  Infrastructure, Poverty</em>

scholarly journals The Influence of Workload and Stress on Employee Performance in PT X Palm Oil Mill

2021 ◽  
Vol 2 (6) ◽  
pp. 2065-2071
Author(s):  
Nidya Wisudawati ◽  
Dodi Aprianto Pratama
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Work Stress ◽  
Palm Oil ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Work Activities ◽  
Long Time ◽  
Palm Oil Mill

The aim of this study was to determine the effect of employee workload and stress on the production process at PT X  palm oil mill with a capacity of 600 tons/day. The process in this palm oil mill are broadly divided into 6 parts through several processing stations namely reception, treshing, stirring and pressing, clarification and nut and kernel stations. Work activities carried out with a standing attitude for a long time, monotonous, exposed to noise from production machines and the number of extra hours will have an impact on workload and work stress felt by employees. This study uses multiple linear regression analysis with 32 respondents. The results showed that workload and work stress simultaneously had a positive and significant effect on employee performance. Partially the workload has a positive and significant effect, while work stress does not significantly influence the performance of employee.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Struktur Organisasi, Desain Kerja, Budaya Organisasi Dan Pengaruhnya Terhadap Produktivitas Karyawan Studi Kasus Pada PT. XX Di Jakarta

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Structure ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Job Design ◽  
Employee Productivity ◽  
Dominant Influence

The objectives of this study are to analyze changes in organizational structure, job design, organizational culture and its influence on employee productivity at PT. XX in Jakarta and to identify variables that have a dominant influence on the productivity of employees. The research method used is using multiple linear regression analysis. The results show that the all variables simultaneously and partially change the organizational structure, job design, and organizational culture has a significant impact on employee productivity at PT. XXin Jakarta.

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