scholarly journals COVID 19: THE IMPACT OF DEMAND, SUPPLY, AND LABOR

2020 ◽  
Vol 4 (5) ◽  
pp. 60-73
Author(s):  
Hantono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
The Impact

This study aims to determine the effect of 1) demand, 2) supply, 3) labor, 4) covid 19. The sampling in this research was conducted by using a incidental sampling method. Methods of data collection through questionnaires that have been distributed to 100 respondents who have met criteria. With multiple linear regression analysis, it shows that the demand, supply, labor both partial and simultaneous have significant effect on covid 19. It can be concluded that mitigation of demand, supply, labor towards covid 19. The results of t test showed that demand is approved and indicates demand has great impact on affecting the covid 19, supply is not approved and indicates supply has less impact on affecting the covid 19, labor is approved and indicates labor has great impact on affecting the covid 19. The results of f test showed that both of the independent variables are simultaneously affecting the covid 19. The result of R Square of the regression model is 0.216 which shows that 21,6 % of mitigation of covid 19 can be explained by demand, supply, labor. Whereas, the 78,4% of covid 19 variable can be explained by other factors or variables which are not examined in this research.

scholarly journals The Impact of Leadership, Motivation and Discipline on Employee Performance (a Study on Employees of PT Surabaya Marine)

2021 ◽  
Author(s):  
Eva Trisnawati Chumairoh ◽  
Trianggoro Wiradinata
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Leadership Motivation ◽  
The Impact

This purpose of this study was to determine the effect of leadership, motivation and discipline on employee performance. The independent variables were leadership (X1), motivation (X1) and discipline (X3). The dependent variable was employee performance (Y). This was explanatory research with a quantitative approach. The study was conducted at PT Surabaya Marine with employees. Data analysis was carried out through multiple linear regression analysis with the F test and t test. Employee performance was strongly influenced by leadership, motivation and discipline. Keywords: leadership, motivation, discipline, employee performance

scholarly journals What Determines Murabahah Margin Income? Evidence from Islamic Commercial Banks in Indonesia

2021 ◽  
Vol 7 (1) ◽  
pp. 22
Author(s):  
Ananda Puteri Wahyuni ◽  
Ratna Mulyany ◽  
Zata Hulwani Zuhri
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Central Bank ◽  
Multiple Linear Regression ◽  
Commercial Banks ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Operating Income ◽  
Independent Variables

This study aims to examine factors that influence Murabahah margin income. Spefically it investigates the effect of the Central Bank of Indonesia Rate (BI Rate), Operating Expenses to Operating Income (OEOI), Non-Performing Financing (NPF), and wadiah savings on Murabahah margin income at Islamic Commercial Banks in Indonesia. The method used in this study is quantitative by using the multiple linear regression analysis to test the variables. 12 Islamic Commercial Banks were selected as the sample using a purposive sampling method. With 60 data observations for 5 years, the findings indicate that all the independent variables simultaneously affect the dependent variable. Partially, BI Rate does not affect Murabahah margin income, while in contrast, Operating Expenses to Operating Income (OEOI), Non-Performing Financing (NPF), and wadiah savings affect the Murabahah margin income.

scholarly journals THE IMPACT TAX KNOWLEDGE, TAX AWARENESS, TAX MORALE TOWARD TAX COMPLIANCE BOARDING HOUSE TAX

2021 ◽  
Vol 9 (1) ◽  
pp. 49-65
Author(s):  
Hantono
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Tax Compliance ◽  
Multiple Linear Regression Analysis ◽  
Tax Morale ◽  
Independent Variables ◽  
Boarding House ◽  
The Impact

This study aims to determine the effect of 1) tax knowledge, 2) tax awareness, 3) tax morale, 4) tax compliance. The sampling in this research was conducted by using an incidental sampling method. Methods of data collection through questionnaires that have been distributed to 100 respondents who have met the criteria. Multiple linear regression analysis shows that tax knowledge, tax awareness, and tax morale are significant toward tax compliance. The simultaneous have a significant effect on tax compliance. It can be concluded that tax knowledge mitigation, tax awareness, and tax morale towards tax compliance. The results of t-test showed that tax knowledge isn't approved and indicates it has a significant impact on affecting tax compliance, tax awareness is approved, and indicates has less impact on affecting tax compliance, tax morale isn't approved. It indicates has a great impact on affecting tax compliance. The results of F test showed that both of the independent variables are simultaneously affecting tax compliance. R Square's result is 0.710, which shows that 71 % of tax compliance mitigation can be explained by tax knowledge, tax awareness, and tax morale. Simultaneously, 29 % of tax compliance variables can be explained by other factors or variables not examined in this research.

scholarly journals Kontribusi Religiusitas dalam Perilaku Pengambilan Keputusan Konsumsi

2011 ◽  
Vol 2 (1) ◽  
pp. 115
Author(s):  
Anton Bawono
Keyword(s):  
Regression Analysis ◽  
Side Effects ◽  
Linear Regression ◽  
Marketing Strategy ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Independent Variables ◽  
Consumption Decisions

Consequential is one aspect of religiousity, which one is away from any form imposed by Allah s.w.t. Consumption is forbidden by Allah swt is the consumption of haram goods. In this study will look at contributions halalness a product of consumption decisions. This study used four independent variables of quality, halal, price and side effects. The sampling method used was non-probability sampling method using the method of sampling convenience. Analysis of data has using multiple linear regression analysis. The findings of the four variables showed a positive and significant effect, the variable side effects are most dominant variable. While halal variable have the second greatest influence in determining consumption decisions. This suggests that religiosity variable is a variable that determines the capture market share, in the marketing strategy

scholarly journals FAKTOR MINAT BERDONASI PADA LEMBAGA AMIL ZAKAT SAHABAT MUSTAHIQ

2020 ◽  
Vol 6 (11) ◽  
pp. 2272
Author(s):  
Ricky Nuari ◽  
Achsania Hendratmi
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Financial Security ◽  
Independent Variables ◽  
Lack Of Information ◽  
Effect Of Age

The lack of information in understanding the factors of donors' interest in donating to charitable institutions is the reason for the lack of optimization of the collection of donations. This study aims to determine the effect of age, income, education, generosity, financial security and religiosity on the interest in donating to LAZ Sahabat Mustahiq. This study uses a quantitative approach with multiple linear regression analysis methods and data collection by distributing questionnaires to 107 permanent donors, Friends of Mustahiq. The results of this study showed that the independent variables partially showed that interest donors donated at LAZ Sahabat Mustahiq were influenced by religiosity. That is because the majority of the population of Muslim Indonesia adheres to their religion. Factors of age, income, education, financial security, and generosity partially have no effect on interest in donating. While simultaneously all independent variables influence interest in donating.Keywords: Donation, Interest, Factors, Multiple Linear Regression.

scholarly journals Pengaruh Restrukturisasi Perusahaan Terhadap Kinerja Perusahaan

2019 ◽  
Vol 4 (3) ◽  
pp. 10-21
Author(s):  
Hasim As’ari ◽  
Azfa Mutiara Ahmad Pabulo ◽  
Badrus Zaman
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Statistical Test ◽  
Company Performance ◽  
Debt Restructuring ◽  
Independent Variables

This study aims to empirically examine the effect of corporate restructuring on company performance. This analysis uses independent variables, namely debt restructuring, Right issue, Divestment, Acquisition, OPEX and layoffs. The dependent variable is ROA. The sample of this study is the issuer companies that restructured the companies listed on the IDX from 2010 to 2016. The samples of this study were 121 companies selected by purposive sampling method. Statistical methods use Multiple Linear Regression Analysis, by testing the statistical test hypotheses t and Test F. The results of this study conclude that debt restructuring, Right Issue (HMETD), Divestment, Acquisition, OPEX and layoffs significantly positively affect ROA.

scholarly journals Comparison of muscle quality and functional capacity between Japanese and Brazilian older individuals

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0243589
Author(s):  
Hiroshi Akima ◽  
Akito Yoshiko ◽  
Régis Radaelli ◽  
Madoka Ogawa ◽  
Kaori Shimizu ◽  
...  
Keyword(s):  
Adipose Tissue ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Muscle Quality ◽  
Older Individuals ◽  
Stepwise Multiple Linear Regression ◽  
Independent Variables

Muscle quality is well-known to decrease with aging and is a risk factor for metabolic abnormalities. However, there is a lack of information on race-associated differences in muscle quality and other neuromuscular features related to functional performance. This study aimed to compare muscle quality, function, and morphological characteristics in Japanese and Brazilian older individuals. Eighty-four participants aged 65–87 years were enrolled in the study (42 Japanese: 23 men, 19 women, mean age 70.4 years; 42 Brazilians: 23 men, 19 women, mean age 70.8 years). Echo intensity (EI) and muscle thickness (MT) of the quadriceps femoris were measured using B-mode ultrasonography. A stepwise multiple linear regression analysis with EI as a dependent variable revealed that MT was a significant variable for Japanese participants (R2 = 0.424, P = 0.001), while MT and subcutaneous adipose tissue (SCAT) thickness were significant variables for Brazilian participants (R2 = 0.490, P = 0.001). A second stepwise multiple linear regression analysis was performed after excluding MT and SCAT thickness from the independent variables. Sex and age for Japanese participants (R2 = 0.381, P = 0.001) and lean body mass and body mass index for Brazilian participants (R2 = 0.385, P = 0.001) were identified as significant independent variables. The present results suggest that MT is closely correlated with muscle quality in Japanese and Brazilian older individuals. Increases in muscle size may induce decreases in intramuscular adipose tissue and/or connective tissues, which are beneficial for reducing the risks of metabolic impairments in Japanese and Brazilian older individuals.

scholarly journals Pengaruh Pelatihan, Disiplin Kerja, Dan Budaya Organisasi Terhadap Komitmen Organisasi Pegawai PT. PLN (Persero) Area Tanjungpinang

2019 ◽  
Vol 2 (1) ◽  
pp. 62-72
Author(s):  
Intan Maizah Ela Yani ◽  
Myrna Sofia ◽  
Nurhasanah Nurhasanah
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Organizational Commitment ◽  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Coefficient Of Determination

This study aims to determine the effect of training, work discipline and organizational culture on the organizational commitment of employees of PT. PLN (Persero) Tanjungpinang Area. The research method used is descriptive statistical method with a quantitative approach. Data collection techniques are carried out by observation and questionnaire. The number of research samples used was 74 respondents. Analysis of the data used is multiple linear regression analysis, hypothesis testing in the form of T test and F test and analysis of the coefficient of determination. The research conducted resulted in training having a significant effect on the organizational commitment of employees of PT. PLN (Persero) Tanjungpinang Area because the value of t arithmetic> t table or 23,057> 1,994 and the significance value produced 0,000 <0,05. Work Discipline has a significant effect on the organizational commitment of employees of PT. PLN (Persero) Tanjungpinang Area because the value of t count> ttable or 2.649> 1.994 and the significance value produced 0.010 <0.05. Organizational culture does not affect the organizational commitment of employees of PT. PLN (Persero) Tanjungpinang Area because the value of t count <t table or -1.424> 1.994 and the significance value produced is 0.159> 0.05.

scholarly journals DETERMINANTS OF COMPLIANCE WITH PERSONAL TAX OBLIGATION: DO TAX AMNESTY PLAY?

ACCRUALS ◽  
2019 ◽  
Vol 3 (2) ◽  
pp. 259-267
Author(s):  
Resshe Serlly Gita ◽  
Amir Hidayatulloh
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Tax Amnesty ◽  
Convenience Sampling ◽  
The City

This study aims to analyse the effect of tax services, tax amnesty, taxation knowledge, and tax sactions on taxpayer compliance. The population in the study is an individual taxpayer in the city of Yogyakarta. The sample in the study was an individual taxpayer in the city of Yogyakarta, and took part in the tax amnesty program. The sampling technique in this study used the convenience sampling method. Responden in the study amounted 60 respondents. The data anlysis technique in this study used multiple linear regression analysis. This study obtained result that taxpayer compliance in influenced by tax services and tax amnesty programs. However, taxation knowledge and tax saction does not affect taxpayer compliance. The cause of taxation knowledge does not affest taxpayer compliance, perhaps the understanding of taxpayers regarding the procedures for payment and reporting is still minimal. Meanwhile, the reason for lack of support fot tax sanction on taxpayer compliance, perhaps because taxpayers consider that saction given when taxpayer violate laws are still mild. Therefore, these two reasons are factors that encourage taxpayers to behave disobediently.

scholarly journals Cluster and regression analysis for predicting salinity in groundwater

2018 ◽  
Vol 192 ◽  
pp. 02007
Author(s):  
Phiraphat Aphiphan ◽  
Uma Seeboonruang ◽  
Somyot Kaitwanidvilai
Keyword(s):  
Electrical Conductivity ◽  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Water Levels ◽  
Groundwater Salinity ◽  
Groundwater Levels

Groundwater salinity is a major problem particularly in the northeastern region of Thailand. Saline groundwater can cause widespread saline soil problem resulting in reducing agricultural productivity as in the Lower Nam Kam River Basin. In order to better manage the salinity problem, it is important to be able to predict the groundwater salinity. The objective of this research was to create a cluster-regression model for predicting the groundwater salinity. The indicator of groundwater salinity in this study was electrical conductivity because it was simple to measure in field. Ninety-eight parameters were measured including precipitation, surface water levels, groundwater levels and electrical conductivity. In this study, the highest groundwater salinity at 3 wells was predicted using the combined cluster and multiple linear regression analysis. Cross correlation and cluster analysis were applied in order to reduce the number of parameters to effectively predict the quality. After the parameter selection, multiple linear regression was applied and the modeling results obtained were R2 of 0.888, 0.918, and 0.692, respectively. This linear regression model technique can be applied elsewhere in the similar situation.

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