scholarly journals PENGARUH KOMPETENSI DAN KOMPENSASI TERHADAP KINERJA KARYAWAN

2020 ◽  
Vol 3 (1) ◽  
pp. 58-67
Author(s):  
Yadi Maryadi ◽  
Yulia Misrania
Keyword(s):  
Regression Coefficient ◽  
Employee Performance ◽  
Regression Equation ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Hotel Employees ◽  
Independent Variable ◽  
The City

This study aims to determine the effect of Competence and Compensation on Employee Performance (Case Study on Hotel Employees in the city of Pagar Alam). By using primary data and secondary data, this research uses the Ordinary Least Square method. The results of this study are the findings of the influence of Compensation and Compensation on Employee Performance (Case Study on Hotel Employees in the City of Pagar Alam) can be explained as follows. Based on the Regression analysis in the table above, the constant value α = 38,868 and coefficient b1 =. 083 and b2 = .396, so that the multiple linear regression equation is: Y = 38.868+ 0.083X1 + 0.396X2. The regression equation that has been obtained can be used to predict the value of the independent variable and the dependent variable, as follows: A constant value of 38,868 means that if all independent variables are zero, then the performance of hotel clerks in the city of Pagar Alam is valued at 38,868. Competence (X1) has a regression coefficient of .083 meaning that each increase in Competency by 1 unit then the performance of hotel employees increases by .083 assuming the other factors remain. Compensation (X2) has a regression coefficient of .396 meaning that each increase in compensation is 1 unit, the performance of hotel employees increases by .396. From the determination coefficient table above, it can be seen that the R Square figure is 0.931. This means that the influence between the independent variables with the dependent variable is 93.1% while the remaining 6.9% is influenced by other factors outside the regression model analyzed. From these figures it can be concluded that the influence of the independent variable with the dependent variable is very strong.   Penelitian ini bertujuan untuk mengetahui pengaruh Kompetensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam). Dengan menggunakan data primer dan data skunder penelitian ini menggunakan metode Regresi Linear Sederhana (Ordinary Least Square). Adapun hasil Penelitian ini adalah Hasil temuan mengenai pengaruh Komptensi dan Kompensasi terhadap Kinerja Karyawan (Studi Kasus pada Karyawan hotel di Kota Pagar Alam) dapat dijelaskan sebagai berikut. Berdasarkan analisis Regresi pada tabel diatas didapatkan  nilai konstanta α = 38.868 dan koefisien b1 = . 083  dan b2 = .396, sehingga persamaan regresi linier berganda adalah :  Y =  38.868+ 0.083X1 + 0.396X2. Persamaan regresi yang telah diperoleh dapat dipergunakan untuk memprediksi nilai variabel independen dan variabel dependen yaitu sebagai berikut : Nilai konstanta sebesar 38.868 artinya bahwa jika semua variabel independen benilai nol, maka kinerja kayawan hotel di kota Pagar Alam bernilai sebesar 38.868. Kompetensi (X1) mempunyai koefisien regresi sebesar .083 artinya setiap kenaikan Kompetensi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .083 dengan asumsi faktor-faktor yang lain tetap. Kompensasi (X2) mempunyai koefisien regresi sebesar .396 artinya setiap kenaikan kompensasi sebesar 1 satuan maka kinerja karyawan hotel naik sebesar .396. Dari tabel koefisien determinasi di atas, dapat dilihat bahwa angka R Square sebesar 0.931. Hal ini berarti pengaruh antar variabel independen dengan variabel dependen sebesar 93,1% sedangkan sisanya sebesar 6,9% dipengaruhi oleh faktor-faktor lain di luar model regresi yang dianalisis. Dari angka tersebut dapat diambil kesimpulan bahwa pengaruh antara variabel independen dengan variabel dependen sangat kuat.

scholarly journals Assessing factors affecting FDI in developing Asian countries

2021 ◽  
Vol 9 (2) ◽  
pp. 16-28
Author(s):  
P. Gupta
Keyword(s):  
Random Effect ◽  
Least Square ◽  
Market Size ◽  
Asian Countries ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Fixed Capital Formation ◽  
Effect Regression ◽  
Independent Variable

The paper focuses on various factors that affect the inflow of Foreign Direct Investment in developing countries. The study majorly deals with Asian countries, namely India, China, Myanmar, Nepal, Pakistan, Bangladesh and Bhutan, that are progressing from being aid-dependent to trading giants. The factors affecting FDI are majorly categorised into dependent and independent variables. Here, in this study, the dependent variable considered is FDI inflow, and independent variables are market size, the value of the currency, export, import, gross fixed capital formation, GDP deflator, cost of borrowing and economic reforms. Pooled Ordinary Least Square (OLS), fixed effect and random effect regression analysis is done to ascertain the best regression model and various tests are performed to check the intensity of effect caused by each independent variable on our dependent variable.

scholarly journals ANALISIS REGRESI KOMPONEN UTAMA UNTUK MENGATASI MASALAH MULTIKOLINIERITAS DALAM ANALISIS REGRESI LINIER BERGANDA

2012 ◽  
Vol 6 (1) ◽  
pp. 31-40
Author(s):  
Gresyea L. Marcus ◽  
Henry J. Wattimanela ◽  
Yopi A. Lesnussa
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Least Square Method ◽  
Component Analysis ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Analysis Technique ◽  
Independent Variable ◽  
Very High

The climate in Ambon, are influenced by sea climate and season climate, cause of this island arrounded by sea, it is make very high rainfall intensity. A very high collinearity between independent variables, make the estimate can not rely be ordinary least square method so it market with not real regretion coefficient and the collinearity. Collinearity can be detected by linier correlation coefficient between independent variables and also with VIF way. Regretion principal component analysis is used to remove collinearity and all of independent variable into model, this analysis is regretion analysis technique wher eare combinated with principal component analysis technique. The object of this analysis is to simplify the variable by overcast it dimension, we can do it removes the correlation between coefficient by transformation. Regresion can help to solve this case rainfall in Ambon on 2010. So the colinearity to independent variables can be overcome and then we can get the best regretion rutes.

Understanding the determinants of festival attendee spending: the role of cultural capital

2020 ◽  
Vol 11 (2) ◽  
pp. 145-159 ◽  
Author(s):  
Andrea Báez-Montenegro ◽  
María Devesa
Keyword(s):  
Cultural Capital ◽  
Regression Models ◽  
Least Square ◽  
Tobit Regression ◽  
Content Type ◽  
Ordinary Least Square ◽  
The City ◽  
Practical Implications

PurposeThe purpose of this paper is to explore which factors determine visitor spending at a cultural festival, focusing particularly on cultural capital variables.Design/methodology/approachThe case study is the Valdivia International Film Festival. Data from a survey conducted amongst a representative sample of attendees at the festival is used and ordinary least square (OLS) and Tobit regression models are applied.FindingsSix of the variables included from the model prove statistically significant: gender, age, place of residence, participation in other activities at the festival, and “leisure and sharing” motivation.Practical implicationsFestival organisers should draw up a programme and prepare activities that are balanced so as to attract local film lovers, but that should also appeal to outside visitors, who would see the festival as an opportunity to enjoy a wider tourist experience, all of which would have a broader economic impact on the city.Originality/valueUnderstanding which factors determine spending leads to an improvement in the event's viability and ensures its future sustainability. This study adds to the growing literature establishing a sound theoretical corpus on the topic.

scholarly journals Pengaruh Kualitas Sumber Daya Manusia, Komitmen Dan Motivasi Kerja Terhadap Kinerja Pegawai Inspektorat Kabupaten Banyuasin

2021 ◽  
Vol 2 (2) ◽  
pp. 291-296
Author(s):  
R.A. Rodia Fitri Indriani
Keyword(s):  
Linear Regression ◽  
Work Motivation ◽  
Regression Coefficient ◽  
Employee Performance ◽  
Strong Relationship ◽  
Coefficient Of Determination ◽  
Linear Regression Equation ◽  
Independent Variables ◽  
Study Implementation

This study aims to determine whether the variable Human Resouces Quality (X1), Commitment (X2) and Work Motivation (X3) a significant influence on Employee Performance (Y) Inspektorat Kabupaten Banyuasin. Implementation of this study for 6 (six) months including the design, conduct and reporting of research results. This case study aims to determine the effect of Human Resouces Quality, Commitment and Work Motivation on Employee Performance Inspektorat Kabupaten Banyuasin either partially or jointly. In population research in question is the entire employee Inspektorat Kabupaten Banyuasin with a sample size of 41 peopl. The results were obtained regression coefficient Human Resouces Quality (X1) of 0.426, Commitment (X2) of 0.128 and Work Motivation (X3) of 0.626 and also produces a constant value of 12.260. So that the multiple linear regression equation is as follows :Y = 12.260 + 0.426X1 + 0.128X2 + 0.626X3  + e. While the results of correlation 0,712, which means having a strong relationship between the independent variables and the dependent variable, also obtained by the coefficient of determination (R square) of 0.506. This value can be interpreted to mean that the percentage of influence Human Resouces Quality, Commitment and Work Motivation on Employee Performance was 50,6% while the remaining 49,4% is influenced by other variables not included in this study. Implementation is that the Inspektorat Kabupaten Banyuasin continuously improve Human Resouces Quality, Commitment and Work Motivation, so that the consciousness of themselves together to always strive to achieve the goals that have been set (Employee Performance Inspektorat Kabupaten Banyuasin).

scholarly journals PENGARUH KOMPENSASI DAN MOTIVASI TERHADAP KINERJA KARYAWAN KANTOR ESTATE (Studi Kasus Pada PT. Daria Dharma Pratama Air Berau Estate)

2020 ◽  
Vol 8 (1) ◽  
pp. 47-53
Author(s):  
Merta Kusuma ◽  
Sri Ekowati ◽  
Ipan Wahyudi
Keyword(s):  
Regression Coefficient ◽  
Employee Performance ◽  
Sampling Technique ◽  
Coefficient Of Determination ◽  
Linear Regression Coefficient ◽  
Analysis Techniques ◽  
Causative Factors ◽  
Independent Variable

Merta Kusuma, Sri Ekowati, Ipan Wahyudi; This study aimed to determineThe Effect of Compensation and Motivation toward Employees’ Performanceof Estate Office (A Case Study on PT. Daria Dharma Pratama Air Berau Estate). The population of this study were 40 employees of PT. Daria Dharma Pratama Air BerauEstate. The sampling technique of this study was saturated sampling where all the population was 40 employees. The data collection method was a questionnaire. The data analysis techniques of this research used multiple linear regression, coefficient of determination, and hypothesis testing.The results of the study known that the compensation variable has a significant effect toward the performance of Employees at the Estate Office of PT. Daria Dharma Pratama Air Berau estate. It is seen from a significant value of 0.000 less than 0.05. Motivation is influential because a significant value of 0.002 is smaller than 0.05. The coefficient of determination of R square is 0.698. This means that the Employees’ performance of the Estate Office is 69.8% by the independent variable namely compensation and motivation. While 100-69.8%= 30.2%) are influenced by other causative factors not examined in this study. Keywords: Compensation, Motivation, and Employee Performance.

scholarly journals Analysis Of The Influence Of Organizational Culture And Satisfaction On Employee Performance (Case Study: Kspps Dana Ukhuwah)

2020 ◽  
Vol 7 (2) ◽  
pp. 70-91
Author(s):  
Waffa Mutia Mutafannin ◽  
Nining Nurhasanah
Keyword(s):  
Qualitative Research ◽  
Organizational Culture ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Independent Variables ◽  
Independent Variable

This study aims to find out how the influence of organizational culture and satisfaction on the performance of employees at KSPPS Dana Ukhuwah. This study uses correlative or correlational models with the quantitative type of qualitative research. Based on the primary data in the form of questionnaires distributed to employees and secondary data in the form of journals, books and etc. By using Multiple Linear Regression analysis, it can be seen the effect of each independent variable on the dependent variable partially and the effect of independent variables on the dependent variable simultaneously. Based on the results of the analysis of this study, organizational culture variables have a positive and significant influence on employee performance partially and conversely the satisfaction variable does not have a positive and significant effect on employee performance. However, simultaneously organizational culture and satisfaction have sufficient influence on employee performance.

scholarly journals Analisis Masalah Heteroskedastisitas Menggunakan Generalized Least Square dalam Analisis Regresi

2019 ◽  
Vol 1 (2) ◽  
pp. 61
Author(s):  
Aditya Setyawan R ◽  
Mustika Hadijati ◽  
Ni Wayan Switrayni
Keyword(s):  
Parameter Estimation ◽  
Regression Analysis ◽  
Linear Regression ◽  
Statistical Method ◽  
Estimation Method ◽  
Least Square ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Regression Parameters ◽  
Independent Variable

Regression analysis is one statistical method that allows users to analyze the influence of one or more independent variables (X) on a dependent variable (Y).The most commonly used method for estimating linear regression parameters is Ordinary Least Square (OLS). But in reality, there is often a problem with heteroscedasticity, namely the variance of the error is not constant or variable for all values of the independent variable X. This results in the OLS method being less effective. To overcome this, a parameter estimation method can be used by adding weight to each parameter, namely the Generalized Least Square (GLS) method. This study aims to examine the use of the GLS method in overcoming heteroscedasticity in regression analysis and examine the comparison of estimation results using the OLS method with the GLS method in the case of heteroscedasticity.The results show that the GLS method was able to maintain the nature of the estimator that is not biased and consistent and able to overcome the problem of heteroscedasticity, so that the GLS method is more effective than the OLS method.

PENGARUH KNOWLEDGE MANAGEMENT, KOMPETENSI, MOTIVASI TERHADAP KINERJA KARYAWAN

2015 ◽  
Vol 5 (2) ◽  
pp. 1
Author(s):  
Miftahol Arifin
Keyword(s):  
Knowledge Management ◽  
Linear Regression ◽  
Significant Influence ◽  
Employee Performance ◽  
Least Square Method ◽  
Least Square ◽  
Analysis Tool ◽  
Ordinary Least Square ◽  
Competence Motivation ◽  
Performance Analyze

The purpose of this research is to analyze the influence of knowledge management on employee performance, analyze the effect of competence on employee performance, analyze the influence of motivation on employee performance). In this study, samples taken are structural employees PT.centris Kingdom Taxi Yogyakarta. The analysis tool in this study using multiple linear regression with Ordinary Least Square method (OLS). The conclusion of this study showed that the variables of knowledge management has a significant influence on employee performance, competence variables have an influence on employee performance, motivation variables have an influence on employee performance, The analysis showed that the variables of knowledge management, competence, motivation on employee performance.Keywords: knowledge management, competence, motivation, employee performance.

PENGARUH PELATIHAN DAN MOTIVASI KERJA TERHADAP KINERJA KARYAWAN PT. BAKRIE PIPE INDUSTRIES BEKASI

2016 ◽  
Vol 4 (2) ◽  
Author(s):  
Imam Wibowo, M.Si ◽  
Rusma Patriansyah
Keyword(s):  
Statistical Analysis ◽  
Employee Performance ◽  
Positive Influence ◽  
Independent Variables ◽  
Operating Division ◽  
Independent Variable

The purpose of this research is to know the information about relationship between independent variables which are training (X1) and motivation (X2) with dependent variable which is employee performance (Y) of PT. Bakrie Pipe Industries Bekasi, both simultaneously and partially. Data collected from 78 employee of PT. Bakrie Pipe Industries Operating Division randomly using Slovin formula. Then all data was analyzed by using regression and statistical analysis using F-statistic to know the influence of independent variable simultaneously and t-statistic to know the influence of independent variable partially with using SPSS Ver. 22 software. The results of this research shown that: 1). Simultaneously, training and motivation have positive influence and significant to employee performance of PT. Bakrie Pipe Industries Bekasi. 2). Partially, training has positive influence and significant to employee performance of PT. Bakrie Pipe Industries Bekasi. 3). Partially, motivation has positive influence and significant to employee performance of PT. Bakrie Pipe Industries Bekasi.

THE EFFECT OF EDUCATION, HEALTH, UNEMPLOYMENT AND INFRASTRUCTURE ON POVERTY IN BENGKAYANG REGENCY

2019 ◽  
Vol 1 (1) ◽  
pp. 17-25
Author(s):  
Deffrinica Deffrinica
Keyword(s):  
Least Squares Method ◽  
Education Sector ◽  
Least Square ◽  
Path Coefficient ◽  
Hospital Services ◽  
Ordinary Least Square ◽  
Independent Variable ◽  
The Government ◽  
Poverty Levels ◽  
Positive Effect

Education  (X1) shows the results of the analysis of poverty (Y) in Bengkayang Regency. Not significant when viewed from the results of the t test partially can be obtained to count to the value of the Education Sector, -1.449> 1.796 so that education has a positive and not significant effect on poverty, which is supported by a significant level of 0.385 <0.050. This shows that the Education Sector variable has no significant effect on Poverty (Y). Health (X2) has a negative and significant effect on Poverty, which is supported by the Probability Value (sig) of 0.437 <0.050. This means that in terms of health, the government in this case has made every possible effort  for budget expenditures , but in fact in the field there are still many underprivileged people who have not been able to enjoy maximum hospital services. The results of the analysis of the direct effect of Unemployment (X3) on Poverty in Bengkayang Regency showed insignificant influence. The results of the analysis show that this path has a significant effect because the value of t count is 1,217, while the table is 1,796 (t count 1,217> t table 1,796), thus in this direct relationship pattern, unemployment has a positive effect not significant to poverty, which is supported by Probability Value (sig) 0.371> 0.050. The results of the analysis of direct influence of Infrastructure (X4) on poverty levels in Bengkayang Regency show that the path coefficient between Infrastructure and poverty is 0.804> 0.050, which means that the pathway has a negative and insignificant effect. The method used to analyze this research is linear regression with the least squares method usually known as OLS (Ordinary Least Square), which is a method used to determine the effect of an independent variable on the dependent variable.

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