scholarly journals PENGARUH KOMPENSASI DAN DISIPLIN KERJA TERHADAP KINERJA PERANGKAT DESA UNTUK MENSUKSESKAN PENYALURAN DANA DESA DI DESA SUNGAI GUNTUNG TENGAH KECAMATAN RENGAT KABUPATEN INDRAGIRI HULU

2019 ◽  
Vol 8 (2) ◽  
pp. 302-311
Author(s):  
Yenny Iskandar ◽  
Sry Windartini ◽  
Suharmiyati Suharmiyati
Keyword(s):  
Linear Regression ◽  
Correlation Coefficient ◽  
Direct Relationship ◽  
Multiple Correlation Coefficient ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Multiple Regression Equation ◽  
Linear Regression Equation ◽  
Multiple Correlation ◽  
The Village

This research was conducted at office Desa Sei Guntung Tengah,  Kecamatan Rengat  Kabupaten Indragiri Hulu. The aim is to determine the effect of Compensation on the performance of village officials in the success of Village Fund Distribution in desa Sungai Guntung Tengah, Kec. Rengat, Kabupaten Indragiri Hulu. The results of the study obtained by linear regression equation is that SPSS knows that constant (a) is 1.361. and the coefficient of X (b) is 0.355 with a multiple regression equation is Y = 1.361 + 0.355 X. The correlation coefficient is known that (X) compensation has a relationship with (Y) the performance of village officials. This can be seen from the value of the multiple correlation coefficient R is 0.813 meaning that it has a very strong and direct relationship. and then tested with a multiple coefficient of determination (R2) is 0.661. this shows (X) compensation can contribute to the variable (Y) the performance of the village apparatus by 66.1%. And the remaining 33.9% is influenced by other variables not examined in this study. t count for compensation variable is 2.239, in table t with db 35 and significant level 0.025 is obtained 2.034. because t count (2,239)> from t table (2,034) then Ho is rejected and Ha is accepted, which means compensation has a significant influence on the performance of the village apparatus.

scholarly journals Pengaruh Keseimbangan, Kekuatan Otot Tungkai, dan Koordinasi terhadap Ketepatan Shooting Futsal

2019 ◽  
Vol 4 (2) ◽  
pp. 117-126
Author(s):  
Tita Rosita ◽  
Hernawan Hernawan ◽  
Fahmy Fachrezzy
Keyword(s):  
Muscle Strength ◽  
Linear Regression ◽  
Correlation Coefficient ◽  
Significance Test ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Direct Influence ◽  
Linear Regression Equation ◽  
Normality Test ◽  
Leg Muscle

AbstractPenelitian ini bertujuan untuk mengetahui pengaruh keseimbangan, kekuatan otot tungkai, dan koordinasi terhadap ketepatan shooting. Metode penelitian yang digunakan dalam penelitian ini adalah  survei dengan teknik analisis jalur. Pengujian analisis dilakukan dengan perhitungan persyaratan data yaitu uji normalitas, uji signifikansi dan linieritas regresi. (1) Keseimbangan berpengaruh terhadap ketepatan shooting  dengan persamaan garis regresi linier Y = 8,904 + 0,474 X1, koefisien korelasi (rX1Y) = 0,349 dan koefisien determinasi (r2X1Y) =0,122 dan ρYX1 = 0,349, yang berarti variabel keseimbangan memberikan pengaruh langsung terhadap ketepatan shooting sebesar 12,22%. (2) Kekuatan otot tungkai berpengaruh terhadap ketepatan shooting  dengan persamaan garis regresi linier Y = 4,312 + 0,073 X2, koefisien korelasi (rX2Y) = 0,453 dan koefisien determinasi (r2X2Y) = 0,205 dan ρYX2 = 0,453, yang berarti variabel kekuatan otot tungkai memberikan pengaruh  langsung terhadap ketepatan shooting sebesar 20,5%. (3) Koordinasi berpengaruh terhadap ketepatan shooting dengan persamaan garis regresi linier Y = 10,073 + 0,412 X3, koefisien korelasi (rX3Y) = 0,294 dan koefisien determinasi (r2X3Y) = 0,086 dan ρYX3 = 0,294,  yang berarti variabel kekuatan otot tungkai memberikan pengaruh langsung terhadap ketepatan shooting. (4) Tidak ada pengaruh keseimbangan melalui koordinasi terhadap ketepatan shooting dengan nilai beta yaitu  0,251 (0,251 0,349). (5) Tidak ada pengaruh kekuatan otot tungkai melalui koordinasi terhadap ketepatan shooting dengan nilai beta yaitu 0,084 (0,084 0,453). AbstractThis study aims to determine the effect of balance, leg muscle strength, and coordination on the accuracy of shooting. The research method used in this study is a survey with path analysis techniques. Analysis testing is performed by calculating the data requirements namely normality test, significance test and linearity regression. (1) Balance affects the accuracy of shooting with the linear regression equation Y = 8.904 + 0.474 X1, the correlation coefficient (rX1Y) = 0.349 and the coefficient of determination (r2X1Y) = 0.122 and ρYX1 = 0.349, which means the balance variable gives a direct influence on the accuracy of shooting at 12.22%. (2) Leg muscle strength influences shooting accuracy with linear regression equation Y = 4.312 + 0.073 X2, the correlation coefficient (rX2Y) = 0.453 and the coefficient of determination (r2X2Y) = 0.205 and ρYX2 = 0.453, which means that the leg muscle strength variable gives an influence. directly to the shooting accuracy of 20.5%. (3) Coordination affects the accuracy of shooting with linear regression equation Y = 10.073 + 0.412 X3, the correlation coefficient (rX3Y) = 0.294 and the coefficient of determination (r2X3Y) = 0.086 and ρYX3 = 0.294, which means the leg muscle strength variable gives a direct influence on shooting accuracy. (4) There is no effect of balance through coordination on the accuracy of shooting with a beta value of 0.251 (0.251 0.349). (5) There is no effect of leg muscle strength through coordination on shooting accuracy with a beta value of 0.084 (0.084 0.453).

scholarly journals The Effect of Training and Motivation on Employee Performance

2020 ◽  
Vol 2 (1) ◽  
pp. 25
Author(s):  
Rima Handayani
Keyword(s):  
Correlation Coefficient ◽  
Employee Performance ◽  
Hypothesis Test ◽  
Statistical Tests ◽  
Multiple Correlation Coefficient ◽  
Regression Equation ◽  
Primary Data ◽  
Coefficient Of Determination ◽  
Multiple Regression Equation ◽  
Validity And Reliability

The biggest real threat to economic stability is a workforce that is not ready to face the challenges or changes around it. The purpose of this study was to determine the effect of training and motivation on the performance of employees of PT. Sentra Jaya Distribution Tangerang. The research method uses quantitative with a population of 120, determining the sample using the Slovin formula with an error rate of 10% obtained 54 respondents. Data collection methods using primary data and secondary data. Test the instrument using the validity and reliability test, the prerequisite data test uses the normality test, the autocorrelation test, the multi-collinearity test, and the heteroscedasticity test, while the statistical tests use the multiple regression equation, the correlation coefficient test, the coefficient of determination test and the significance test. The Effect of Training and Motivation on Employee Performance at PT. Distribution of Sentra Jaya Tangerang, the analysis of the data that the researchers concluded that the regression equation Y = a + b1X1 + b2X2 which was found was Y = 15.454 + 0.387 X1 + 0.265 X2, with the multiple correlation coefficient R was 0.563, this showed a positive effect. Then get the equation Tcount> T table (2.478> 2.008) in the hypothesis test at α = 0.05 or 5% (significance 0.003 <0.05) then, thereby indicating the hypothesis proposed is accepted, or in other words, Ho is rejected and Ha is accepted. Thus there is a positive and significant effect between the provision of training and motivation on the performance of employees of PT. Sentra Jaya Distribution Tangerang

scholarly journals Analisis Kualitas Makanan dan Perceived Value terhadap Kepuasan Konsumen pada Industri Rumah Makan

2019 ◽  
Vol 3 (2) ◽  
pp. 58-64
Author(s):  
Clara Candra Komala ◽  
Nor Norisanti ◽  
Asep M. Ramdan
Keyword(s):  
Customer Satisfaction ◽  
Correlation Coefficient ◽  
Food Quality ◽  
Consumer Satisfaction ◽  
Perceived Value ◽  
Multiple Correlation Coefficient ◽  
Coefficient Of Determination ◽  
Multiple Correlation ◽  
F Test ◽  
Effect Of Food

The purpose of this study was to analysis the effect of food quality and perceived value on consumer satisfaction in the restaurant industry. The sample used in this research was 98 respondents and data collection methods using a questionnaire. The method used in this study is the use the type of probability sampling includes in the simple random sampling. The analysis technique using validity test, reliability test, multiple linear regression analysis, including test coefficient of determination, multiple correlation coefficient, and simultaneous test (F test).The results of the test coefficient of determination seen from value (Adjusted R2) of 0,473 can be interpreted that the effect of Food Quality and Perceived Value on consumer satisfaction is 4,73%. The remaining 52,7% is influenced by other factors not explained in this study. Based on the multiple correlation coefficient test seen from the R value of 0.696, it shows that there is a strong relationship between food quality and perceived value with customer satisfaction. Based on the F test the probability value sig. 0,000 <0,05, which means that together Food Quality (X1) and Perceived Value (X2) significantly influence customer satisfaction (Y).

scholarly journals Relationship between Cognitive Style and Habits of Mind

2019 ◽  
Vol 2 (1) ◽  
pp. 23
Author(s):  
Hayatun Nufus ◽  
Rezi Ariawan
Keyword(s):  
Linear Regression ◽  
Cognitive Style ◽  
Significance Test ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Habits Of Mind ◽  
Linear Regression Equation ◽  
Research Subjects ◽  
Analysis Technique ◽  
The Relationship

This research is a correlational study that examines the relationship between cognitive style and habits of mind. The research subjects involved 4th semester students in the Department of Mathematics Education at the Faculty of Tarbiyah and Teacher Training of UIN Suska Riau which consisted of students with heterogeneous academic abilities. Cognitive style data was collected using the GEFT question instrument with test techniques. Habits of mind data were collected using a questionnaire instrument with a questionnaire distribution technique. The data analysis technique begins with the Pearson Product Moment correlation test which is continued with the significance test and the calculation of the magnitude of the relationship that occurs using the coefficient of determination. Because the data is positively correlated, it continues with determining the linear regression equation. The results showed that there was a significant weak correlation between cognitive style and habits of mind with a relationship score of 6% and a linear regression equation y '= 36.35 + 0.31 x.

scholarly journals PENGARUH KOMPENSASI DAN LINGKUNGAN KERJA TERHADAP SEMANGAT KERJA PADA KOPDIT CU MANDIRI TEBING TINGGI

2021 ◽  
pp. 213-223
Author(s):  
Elisabeth Simangunsong ◽  
Joana L. Saragih ◽  
Betniar Purba ◽  
Imelda R Purba
Keyword(s):  
Linear Regression ◽  
Work Environment ◽  
Positive Influence ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Employee Morale ◽  
Linear Regression Equation ◽  
Significance Level ◽  
Environment Variables ◽  
Positive Meaning

The purpose of this study was to analyze the effect of compensation and work environment on employee morale at the CU Mandiri Tebing Tinggi Kopdit. Benefits of Research: Provide information material to the management of CU Mandiri Tebing Tinggi Kopdit about the effect of compensation and work environment on employee morale and For other researchers it can be used as a reference in conducting studies or research with the same subject matter as well as input for interested parties directly with this research. The number of samples was 96 respondents, the method of collecting data was through questionnaires and documentation, the variables studied were about the effect of compensation and work environment on employee morale at the Cooperative Unit of CU Mandiri Tebing Tinggi partially and simultaneously on work morale and data analysis methods with multiple regression. The results showed the linear regression equation: Linear regression equation: SK = 0.558 + 0.797Kom + 0.448LK., indicating the regression coefficient of the compensation variable (Kom) and work environment (LK), which was positive, meaning that all variables had a positive influence on work morale. The correlation coefficient (R) = 0.886, which means that the relationship between the compensation variable (Kom) and the work environment (LK) on work morale is very strong. The coefficient of determination (R2) = 0.785 means that the variable compensation (Kom) and work environment (LK) is able to explain 78.5% of work morale, while 21.5% is influenced by other factors. The calculated t value of the compensation variable = 6.871 and the work environment = 3.273 > t table which shows a significance number of 0.000 < 0.05, then the two variables have a partially significant effect on work morale. The calculated F value = 83.058 > F table with a significance level of 0.000 < 0.05, then Ho is rejected and H1 is accepted, meaning that the compensation variable (Kom) and work environment (LK) have a significant effect simultaneously on work morale. Based on the conclusion above, it is better if the Cooperative of CU Mandiri Tebing Tinggi needs to increase the compensation provided and the work environment to encourage employee morale so as to create job satisfaction. , Judging from the value of the coefficient of determination (R2) = 0.785, it means that compensation and work environment variables are able to explain 78.5% of work spirit while 21.5% is influenced by other factors. Other factors that affect morale should be investigated from the internal and external environment.

scholarly journals Analisis Store Environment dan Emosi Positif terhadap Impulse Buying

2019 ◽  
Vol 1 (1) ◽  
pp. 157-168
Author(s):  
Ayi Muhyidin ◽  
Erry Sunarya ◽  
Asep M. Ramdan
Keyword(s):  
Correlation Coefficient ◽  
Positive Emotions ◽  
Multiple Correlation Coefficient ◽  
T Test ◽  
Test Reliability ◽  
Coefficient Of Determination ◽  
Impulse Buying ◽  
Multiple Correlation ◽  
F Test ◽  
Store Environment

The purpose of this study was to analysis the effect of store environment and positive emotions on impulse buying in the cafe. The method used in this study is the use the type of probability sampling includes in the simple random sampling.  The sample used in this research was 100 respondents and data collection methods using a questionnaire. The analysis technique using validity test, reliability test, multiple linear regression analysis, including test coefficient of determination, multiple correlation coefficient, simultaneous test (F test), and partial test (T test). The results of the test coefficient of determination seen from value (Adjusted R2) of 0,425 can be interpreted that the effect of Store Environment and Positive Emotions on Impulse Buying is 42,5%. The remaining 57,5% is influenced by other factors not explained in this study. Based on the multiple correlation coefficient test seen from the R value of 0.661, it shows that there is a strong relationship between store environment and positive emotions with impulse buying. Based on the F test the probability value sig. 0,000 <0,10, which means that together Store Environment (X1) and Positive Emotions (X2) significantly influence Impulse Buying (Y). Conclusion, based on the t test showing Store Environment (X1) has a significant effect on Impulse Buying (Y), Positive Emotions (X2) has a significant effect on Impulse Buying (Y). Keyword : Store Environment, Positive Emotions, Consumer Satisfactio

scholarly journals PENGARUH KEPEMIMPINAN KEPALA SEKOLAH TERHADAP KINERJA GURU PADA SEKOLAH DASAR NEGERI 006 PERAWANG BARAT

2019 ◽  
Vol 10 (4) ◽  
pp. 493-505
Author(s):  
Herman Rupat
Keyword(s):  
Elementary School ◽  
Linear Regression ◽  
Principal Leadership ◽  
Research Method ◽  
Teacher Performance ◽  
Regression Equation ◽  
Coefficient Of Determination ◽  
Linear Regression Equation ◽  
Simple Linear Regression ◽  
Research Population

The research was conducted at Elementary School 006 Of Perawang Barat. The purpose of this study is to determine the influence of Principal Leadership on Teacher Performance at Elementary School 006 Of Perawang Barat. The research method is descriptive with quantitative approach, with the research population is teachers of Elementary School 006 Of Perawang Barat as many as 43 teachers. While the number of samples determined in this study is the entire population minus 1 principal so that a total of 42 teachers. Based on simple linear regression equation Y = 22,609 + 0,744X. hence seen constants equal to 22,609, so influace of principal leadership on teacher performance is positive proven b = 0,744 meaning that every increase of headmaster leadership one unit will increase teacher performance at Elementary School 006 Of Perawang Barat at 1,235. The Leadership variable with tcount 4,264 > ttable 2,021 with significant level 0.000 less than 5%. Then Ho is rejected and Ha accepted, meaning the leadership variable of principal has a positive and significant effect on teacher performance in Elementary School 006 Of Perawang Barat. The value of R-square (coefficient of determination) is 0,313, this indicates that the principal's leadership contributes to the teacher performance in Elementary School 006 Of Perawang Barat by 31,3%, while the rest (100% - 31,3%) = 68,7% influenced by other variable outside of variable in this research.

scholarly journals Square Wave Voltammetric Analysis of Triphenyltin(IV) Hydroxybenzoate Derivatives

2020 ◽  
Vol 32 (9) ◽  
pp. 2149-2152
Author(s):  
HARDOKO INSAN QUDUS ◽  
RIA DWI YUNITA ◽  
AGUNG A. KISWANDONO ◽  
SUTOPO HADI
Keyword(s):  
Linear Regression ◽  
Chemical Analysis ◽  
Correlation Coefficient ◽  
Square Wave Voltammetry ◽  
Limit Of Detection ◽  
Regression Equation ◽  
Linear Regression Equation ◽  
Voltammetric Analysis ◽  
Square Wave ◽  
Wave Voltammetry

In present work, a chemical analysis of two newly synthesized compounds, triphenyltin(IV) o-hydroxybenzoate (1) and triphenyltin(IV) m-hydroxybenzoate (2) have been performed by using square wave voltammetry (SWV). The method used was validated using the standard solutions of compound 1 and 2 by varying the concentrations. The concentrations of 1.6 × 10-4 M; 3.2 × 10-4 M; 4.8 × 10-4 M; 6.4 × 10-4 M and 8.0 × 10-4 were used in the variations. The validation results of compound 1 were the linear regression equation: ip = 7.42 C + 7.89; correlation coefficient (r) = 0.991; limit of detection (LOD) = 1.53 × 10-4 M; and sensitivity (S) = 7.42 μA/ mM, while compound 2 gave the value of linear regression equation: ip = 8.39 C + 7.91; correlation coefficient (r)= 0.991; limit of detection (LOD)= 1.35 × 10-4 M; and sensitivity (S)= 8.39 μA/mM.

Suaeda Salsa Biomass Remote Sensing in the ShuangTai River Estuary

2012 ◽  
Vol 610-613 ◽  
pp. 3651-3654
Author(s):  
Tao Wu ◽  
Dong Zhi Zhao ◽  
Guo Jun Jiang ◽  
Wei Xu ◽  
Cui Xiao
Keyword(s):  
Remote Sensing ◽  
Linear Regression ◽  
Correlation Coefficient ◽  
Vegetation Indices ◽  
River Estuary ◽  
Quadratic Equation ◽  
Regression Equation ◽  
Suaeda Salsa ◽  
Distribution Area ◽  
Linear Regression Equation

Suaeda salsa is the characteristics vegetation in the wetlands of Northern China. By acquiring Suaeda Salsa biomass, building spectral reflectance curve, probing into the relationship between the vegetation indices and the biomass, and finally achieving Suaeda Salsa’s biomass remote sensing monitor in the ShuangTai river estuary, Conclusions are as follows: 1). Correlation coefficient between the biomass and the vegetation indices (RVI and NDVI) is low, and Linear regression equation (R2) is 0.342 and 0.316, and the Logarithmic regression equation (R2) is 0.319 and 0.21, and the Quadratic equation (R2) is 0.589 and 0.568. Correlation coefficient between the biomass and the vegetation indices (PVI, SAVI and MSAVI) is high, and the linear regression equation is 0.626、0.698 and 0.679, respectively. The logarithmic regression equation is 0.592、0.706 and 0.683 respectively and the quadratic equation is 0.688、0.711 and 0.683. 2). Suaeda salsa’s biomass is consistent with the distribution area in the Shuangtai river estuary. Total biomass maintained at 2.9 × 107- 4.2 × 108kg in 1990, and dropped to 3.4 × 106 ~ 3.5 × 107kg in 1995. In 2000, the quadratic function of vegetation version biomass rebounded, but linear function continues to fall. Biomass increased rapidly, reaching 1.46 ~ 2.4 × 108kg in 2005.

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