scholarly journals Thai Silk Product Industry Development In The Northeastern Region Of Thailand

2011 ◽  
Vol 8 (10) ◽  
Author(s):  
Nak Gulid ◽  
Sirivan Serirat ◽  
Suphada Sirikudta ◽  
Udom Sayaphan ◽  
Aurathai Lertwannawit ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Quantitative Analysis ◽  
Brand Personality ◽  
Purchasing Behavior ◽  
Silk Industry ◽  
Independent Variables ◽  
Northeastern Region ◽  
Dependent Variables ◽  
The Relationship ◽  
Product Industry

This research aims to study the relationship between independent variables (value, motivation, brand personality, attitude toward product and demographic factor) and dependent variables (purchasing behavior and trend to buy in the future) of Thai silk industry in Northeastern region, Thailand. Quantitative analysis is allowed in this study. This research includes 400 customers who buy Thai silk in two provinces (Roi-Et and Khon-Khen) in the Northeastern region in Thailand. Multiple regression analysis was employed in this study. The result shows that motivation and value are strong influenced on purchasing behavior and trend to buy product in both provinces. However, brand personality and attitude toward product are partially supported our expectations.

ANALISIS PENGARUH FIRM SIZE DAN PROFITABILITAS TERHADAP ISLAMIC SOCIAL REPORTING (ISR) DENGAN EARNING GROWTH SEBAGAI VARIABEL MODERATING PADA JAKARTA ISLAMIC INDEX (JII)

1970 ◽  
Vol 18 (1) ◽  
pp. 137-150
Author(s):  
Titin Hartini
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Firm Size ◽  
Sampling Technique ◽  
Social Reporting ◽  
Analysis Method ◽  
Earning Growth ◽  
Independent Variables ◽  
Dependent Variables ◽  
The Relationship

This study aims to determine and analyze the effect of Firm Size and Profitability on Islamic Social Reporting, and see whether Earning Growth can strengthen or weaken the relationship between independent variables to the dependent variable. This research takes object in companies registered in Jakarta Islamic Index (JII) for period 2011-2015, amounted to 30 companies and obtained by 12 companies by using purposive sampling technique. Data analysis method used is multiple regression analysis. Based on the results of simultaneous research all the variables berpegaruh against Islamic Social Reporting, but partially, only Firm Size that affect the Islamic Social Reporting. In addition, Earning Growth can not strengthen or weaken the relationship between independent variables and dependent variables.

scholarly journals Regresi Median Pada Copula Bivariat

2019 ◽  
Vol 3 (1) ◽  
pp. 07
Author(s):  
Geraldus Anggoro Rinadi ◽  
Leopoldus Ricky Sasongko ◽  
Bambang Susanto
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Median Regression ◽  
Independent Variables ◽  
Bivariate Data ◽  
Dependent Variables ◽  
Frank Copula ◽  
The Relationship

Abstrak: Analisis regresi adalah analisis yang sering digunakan dalam segala bidang yang bertujuan untuk memodelkan hubungan antara dua jenis variabel tak bebas dengan satu atau variabel bebas. Regresi linier masih memiliki beberapa kekurangan, maka dari untuk mengatasinya dengan regresi median. Copula dapat digunakan untuk mendeteksi hubungan data bivariat dengan peubah-peubah yang berbeda. Hasil penelitian menunjukkan kurva kuantil bersyarat terbaik berdasarkan MSE terkecil Data I yaitu copula Plackett sebesar 0.8650. Sedangkan nilai MSE terkecil Data II yaitu copula Gaussian sebesar 0.3954. Nilai MSE terkecil Data III yaitu copula Frank sebesar 0.5575. Terakhir, nilai MSE terkecil Data IV yaitu copula Clayton sebesar 0.3190.Abstract:  Regression analysis is an analysis that is often used in all fields which aims to model the relationship between two types of non-dependent variables with one or independent variables. Linear regression still has several drawbacks, so to overcome this by median regression. Copula can be used to detect bivariate data relations with different variables. The results showed that the best conditional curves based on the smallest MSE of Data I were Plackett copula of 0.8650. While the smallest MSE value is Data II, which is a Gaussian population of 0.3954. The smallest MSE value of Data III is Frank copula of 0.5575. Finally, the smallest MSE value is Data IV which is copula Clayton of 0.3190.

scholarly journals Analysis of Relationship Between Personality and Favorite Places with Poisson Regression Analysis

2018 ◽  
Vol 16 ◽  
pp. 02001 ◽  
Author(s):  
Ha Yoon Song ◽  
Hwa Baek Kang
Keyword(s):  
Regression Analysis ◽  
Poisson Regression ◽  
Human Mobility ◽  
High Tendency ◽  
Independent Variables ◽  
Location Data ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship ◽  
University Laboratory

A relationship between human personality and preferred locations have been a long conjecture for human mobility research. In this paper, we analyzed the relationship between personality and visiting place with Poisson Regression. Poisson Regression can analyze correlation between countable dependent variable and independent variable. For this analysis, 33 volunteers provided their personality data and 49 location categories data are used. Raw location data is preprocessed to be normalized into rates of visit and outlier data is prunned. For the regression analysis, independent variables are personality data and dependent variables are preprocessed location data. Several meaningful results are found. For example, persons with high tendency of frequent visiting to university laboratory has personality with high conscientiousness and low openness. As well, other meaningful location categories are presented in this paper.

scholarly journals THE EFFECT OF BIOGRAPHICAL CHARACTERISTICS AND CULTURAL DIVERSITY ON PERFORMANCE (Survey: Civil Servants of Lubuk Linggau Government)

2014 ◽  
Vol 13 (2) ◽  
Author(s):  
Maulana .
Keyword(s):  
Regression Analysis ◽  
Cultural Diversity ◽  
Multiple Regression Analysis ◽  
Civil Servants ◽  
City Government ◽  
Validity And Reliability ◽  
Independent Variables ◽  
Data Collector ◽  
Dependent Variables ◽  
The Relationship

This research was done in order to investigate the effect of Biographical Characteristics and Cultural Diversity on Performance in Civil Servants of Lubuk Linggau government. There were two variables in this research. The independent variables were Biographical Characteristics (X1)), Cultural Diversity (X2). The dependent variable was the performance of Civil Servants in Lubuk Linggau government. The objectives of this research were: a) to investigate the effect of Biographical Characteristics (X1), Cultural Diversity (X2) toward the performance of Civil Servants in Lubuk Linggau government, and b) to investigate which dominant independent variables affected the Performance of Civil Servants in Lubuk Linggau.government. The method used in this research was causal. The number of sample in this research was 100 Civil Servants in Lubuk Linggau government. The data were collected through questionnaire. Before the test of influence, the test on validity and reliability was conducted to see the level of validity and instrument trusted which can be used as a data collector. To Measure the relationship between variables, multiple regression analysis was used. Based on the analysis results, it was found that variables Biographical Characteristics (X1)), Cultural Diversity (X2) were altogether affected significantly on the Performance of Civil Servants in Lubuk Linggau government. The variation of dependent variables changes (performance) affected by independent variables were Biographical Characteristics (X1)), Cultural Diversity (X2) was 64.4 percent (R2 = 0.644) while the rest which was 35.6 percent was affected by other variables. It means that if the changes were done together, it would affect the Performance of Civil Servants in Lubuk Linggau government which was 64.4 percent. The Result in this research, the independent variables of Biographical Characteristics (X1), Cultural Diversity (X2) partially and simultaneously affected the Performance of Civil Servants in Lubuk Linggau City government.

scholarly journals A Study on the Utilization Factors and Effects of Big Data in SMEs

2021 ◽  
Vol 12 (6) ◽  
pp. 761-766
Author(s):  
Do-Hyung Yee Et.al
Keyword(s):  
Big Data ◽  
Regression Analysis ◽  
Human Resource Development ◽  
Demographic Characteristics ◽  
Data Utilization ◽  
Independent Variables ◽  
Policy Performance ◽  
Dependent Variables ◽  
The Impact ◽  
The Relationship

Background/Objectives: The purpose of this study was to derive major utilization factors that can increase the practical data utilization ability of SMEs by utilizing big data, and examine the utilization methods and effects. Methods/Statistical analysis: This study derives the utilization factors and effects of organizational, technical, environmental, and policy aspects so that SMEs can increase their data utilization capabilities. The target was for SME managers or members.  Frequency analysis was conducted to understand the distribution by demographic characteristics, and the relationship between factors and effects was measured through factor analysis, correlation analysis, and regression analysis for the measured variables. Findings: Perform regression to analyze the impact, utilization, and impact of independent variables on technology, organizational gender, environment, and policy performance as dependent variables Durbin-Watson's index was below 2.1 and self-relevant and had the power to explain the impact of independent variables such as organizational gender, technology, environment, and policy on utilization.  In terms of application, it was found that the use of big data had an effect on education and human resource development rather than the perception of managers and members. Therefore, it was found that education related to big data and in-house experts were recognized as necessary. On the effective side, it was found that the perception of managers and employees influenced. It was found that corporate members thought that when promoting big data, promoting it with the strong will of the manager is an effective aspect for using big data. Improvements/Applications: If you possess the infrastructure and knowledge in the company, and improve the system with the support of members, it will be an opportunity to increase the utilization of it

ANALISA PENGARUH IKLIM ORGANISASI DAN KOMPETENSI TERHADAP KINERJA PEGAWAI PT HUTAMA KARYA

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Erik Wardhana, MM.
Keyword(s):  
Organizational Climate ◽  
Employee Performance ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Free Variable ◽  
Independent Variables ◽  
Dependent Variables ◽  
Correlational Approach ◽  
Survey Research Methods ◽  
The Relationship

This study entitled "Analysis of Effect of Climate Organization and Competence Againt Employee PT. Hutama Karya ". The purpose of this study was to obtain information on the relationship between the free variable that organizational climate (X1) and competence (X2) with the dependent variable is employee performance (Y), either partially or simultaneously, This study used survey research methods with the correlational approach and predictive, which aims for the relationship and influence between independent and dependent variables. The sampling technique can be done randomly (simple random sampling) of 852 employees, which is considered to resprentatif is 89 people. And to solve problems, to analyze and examine the relationship and influence between the independent variables on the dependent variable used models kausalistik through regression analysis with SPSS 14.0

scholarly journals A Student’s Guide to the Classification and Operationalization of Variables in the Conceptualization and Design of a Clinical Study: Part 1

2021 ◽  
Vol 43 (2) ◽  
pp. 177-179 ◽  
Author(s):  
Chittaranjan Andrade
Keyword(s):  
Clinical Study ◽  
Significant Relationship ◽  
Research Experience ◽  
Process Variables ◽  
Know How ◽  
Independent Variables ◽  
Cause And Effect ◽  
Confounding Variables ◽  
Dependent Variables ◽  
The Relationship

Students without prior research experience may not know how to conceptualize and design a study. This article explains how an understanding of the classification and operationalization of variables is the key to the process. Variables describe aspects of the sample that is under study; they are so called because they vary in value from subject to subject in the sample. Variables may be independent or dependent. Independent variables influence the value of other variables; dependent variables are influenced in value by other variables. A hypothesis states an expected relationship between variables. A significant relationship between an independent and dependent variable does not prove cause and effect; the relationship may partly or wholly be explained by one or more confounding variables. Variables need to be operationalized; that is, defined in a way that permits their accurate measurement. These and other concepts are explained with the help of clinically relevant examples.

Large rotary dairies achieve high cow throughput but are not more labour efficient than medium-sized rotaries

2013 ◽  
Vol 53 (6) ◽  
pp. 573 ◽  
Author(s):  
J. P. Edwards ◽  
J. G. Jago ◽  
N. Lopez-Villalobos
Keyword(s):  
Milk Yield ◽  
Mixed Models ◽  
Telephone Survey ◽  
Independent Variables ◽  
Milk Flow ◽  
Efficiency Measures ◽  
Dependent Variables ◽  
A Site ◽  
The Relationship ◽  
Total Labour

It was hypothesised that large rotary dairies (>60 clusters) are not more operator efficient than medium-sized rotaries (40–60 clusters). This was tested by collecting and analysing milking data, during peak and late lactation, from block calving herds milked in rotary dairies fitted with electronic milk meters. Data were collected from a total of 61 unique farms around New Zealand, with rotary dairies ranging in size from 28 to 80 clusters, for two 5-day periods during spring (September–November 2010; 47 farms; average milk yield 23.1 kg/day) and autumn (February–April 2011; 60 farms; average milk yield 16.4 kg/day). A telephone survey was conducted to collect basic farm details: size, land area, the number of herds managed (including hospital herds), number of operators in the dairy and total labour input. A site visit was conducted to collect data such as the number of bails/stalls over the entrance and exit of the platform. The herd management software on each farm was programmed to record similar fields for each of the six machine manufacturers represented. Variables recorded included cow, date, identification time, bail number, milk yield, milking duration, and average milk flow rate. Calculations were performed to determine the number of cows milked and milk harvested per hour as well as the operator efficiency values for these measures and an estimate of cluster utilisation. Mixed models were used to determine the relationship between the dependent variables, cows milked per hour, milk harvested per hour, cows milked per operator per hour, milk harvested per operator per hour, and cluster utilisation, and the independent variables collected. Cows milked and milk harvested per hour increased linearly with rotary size, during both spring and autumn and there was a quadratic relationship between operator efficiency measures and rotary size, which peaked at ~60 clusters. Cluster utilisation, the amount of time clusters were harvesting milk out of the plant running time, was estimated at 46 ± 6%. Larger rotary dairies on average achieved greater throughput; however, they were not more operator efficient than medium-sized rotaries. Thus, large rotary dairies are best suited to farms where the additional throughput is required.

scholarly journals Pengaruh Kompensasi Finansial Terhadap Kinerja Karyawan Pada PT Penggadaian (Persero) Cabang Jambi

2020 ◽  
Vol 5 (2) ◽  
pp. 209
Author(s):  
Fadil Iskandar
Keyword(s):  
Statistical Tests ◽  
Financial Compensation ◽  
Independent Variables ◽  
Correlational Research ◽  
Dependent Variables ◽  
And Performance ◽  
Relationship Of ◽  
The Relationship ◽  
Descriptive Method ◽  
Variable Performance

This research aims to find out how implementation of the financial compensation and performance job of PT Penggadaian (Persero) Branch  of Jambi. Next also to analyze implamentation and how the influence of financial compensation on performance job in PT Penggadaian (Persero) of Banch Jambi. This research uses descriptive method quantitative correlational research with the form that describes the relationship of independent variables with dependent variables. The research on the analysis tools using simple regression with hypothesis prove with statistical tests t. The results showed that a significant effect on performance financial compensation of performance job which are characterized by tcount > ttable and Prog. sig < α (0.05). While the correlation value i.e. 64% of these mean that have relationship very closely between financial compensation variables with variable performance job.

scholarly journals Relationship Between Enablers and Barriers to Financial Inclusion—the Case of North Macedonia

2021 ◽  
Vol 8 (1) ◽  
pp. 52
Author(s):  
Natasha Eftimovska
Keyword(s):  
Regression Analysis ◽  
Institutional Arrangements ◽  
Financial Inclusion ◽  
Primary Data ◽  
Second Primary ◽  
Main Research ◽  
Independent Variables ◽  
Enabling Environment ◽  
Income Groups ◽  
The Relationship

This research aims to examine the relationship between factors that act as enablers or barriers to financial inclusion, as independent variables, and the environment for financial inclusion, as a dependent variable, for the case of North Macedonia. For accomplishing the main research objective, first, the factors that act as enablers or barriers to financial inclusion were identified by collecting primary data using questionnaires and performing comparative analysis on our country’s position with different regions categorized by income groups and World, through the benchmarking model of Global Microscope (Economist Intelligence Unit, 2018. Global Microscope 2018. The Enabling Environment for Financial Inclusion. The EIU, The Economist). Second, primary data from questionnaires served to furtherly examine the correlation between each identified enabler or barrier to financial inclusion and the overall environment for financial inclusion through multiple regression analysis. Results revealed important information and recommendations for the future focus of national priorities, institutional arrangements, policies, and strategies in terms of creating enabling environment for financial inclusion, benefits of which can be felt by the overall society.

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