scholarly journals Quality Assurance among Childcare Employees in Selangor

2021 ◽  
Vol 18 ◽  
pp. 1498-1511
Author(s):  
Yaty Sulaiman ◽  
Ng Kel Lie
Keyword(s):  
Quality Assurance ◽  
Regression Analysis ◽  
Quality Management ◽  
Total Quality Management ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Employee Commitment ◽  
Total Quality ◽  
Independent Variables ◽  
Employee Competencies

Caregiver or childcare employee is responsible to produce excellent quality in taking care of the children. A good practice of quality assurance among employees is important to develop the future generations. The objective of this research is to identify the factors that influence quality assurance among childcare employees in Selangor. It is to determine the relationship between factors (physical facilities, employee commitment, communication, and employee competencies) and quality assurance. A random sampling technique was used to select respondents from the registered childcare centers in Selangor, Malaysia. The study used quantitative approach through structured questionnaires developed from previous research. Among 450 survey questionnaires distributed, only 379 questionnaires were accepted and used for analysis. Study uses SPSS 22.0 to analyze data. Methodologies such as Pearson Correlation and Multiple Regression Analysis were conducted in analyzing the data. Findings revealed that quality assurance is having a positive relationship with physical facilities, employee commitment, communication, and employee competencies, with the overall results of the multiple regression analysis showed that all independent variables have relationships with the dependent variable at p=0.000. The result of this test also indicated that all independent variables have positive beta coefficient value as physical facilities, employee commitment, communication and employee competencies at 0.372, 0.251, 0.064 and 0.103 respectively. Thus, this study adds to better understanding of the total quality management (TQM) which is the main underlying theory used to develop the research framework. In general, Total Quality Management (TQM) advised on the factors such as physical facilities, employee commitment, employee competencies, and communication that when applied, could get the best result of employees.

PENGARUH PENERAPAN TOTAL QUALITY MANAGEMENT (TQM) TERHADAP KEPUASAN KERJA KARYAWAN DI PTPN V PEKANBARU The Effect of Total Quality Management (TQM) On Employee's Satisfaction in PTPN V Pekanbaru

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Conie Nopinda Br Sitepu
Keyword(s):  
Regression Analysis ◽  
Quality Management ◽  
Total Quality Management ◽  
Significant Influence ◽  
Quantitative Method ◽  
Organization Culture ◽  
Total Quality ◽  
Independent Variables ◽  
Culture Influence ◽  
Organisation Culture

ABSTRACT This is reseach done at PT. Perkebunan Nusantara V Pekanbaru at Rambutan street No. 43 Pekanbaru. The purpose of this research is to get to know whether the application of Total Quality Management (TQM) gives any influence to the level of employee’s satisfaction at PT. Pekebunan Nusantara V Pekanbaru either simultan easly or parcially. The population this reseach the employee of PT. Perkebunan Nusantara V Pekanbaru which are 147 employees. This research used double linier regression analysis and from the data analyzis used quantitative method by SPSS (Services For Product and Statistic Solution). Based on the result of the research that simultaneosly appreciation and confession, teawork, and the organization culture influence simutaneously to the satisfaction of the employee’s work, that parcially appreciation and confession and organisation culture give the significant influence to the satisfaction of the employee’s work at PT Perkebunan Nusantara V while the teamwork didn’t give any significant influence. This research also got from that all (three) independent variables could explains the unity variable with the perfect relationship for 31,5 persen. Keywords : TQM, The Satisfaction of the Employee’s Work

PENGARUH PELATIHAN DAN MOTIVASI TERHADAP KINERJA KARYAWAN PADA KOPILOKA 3.0 PALEMBANG TAHUN 2021

2021 ◽  
Vol 1 (2) ◽  
pp. 145-152
Author(s):  
Juni Eliana Prasetya N ◽  
Moh. Faizal ◽  
Choirunnisak Choirunnisak
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
Independent Variables ◽  
Analysis Technique ◽  
Level Of Training ◽  
Positive Effect

In this study, there are results that contradict the theory which states that the higher the level of training and motivation, the employee's performance should increase.  In this study, training had no effect and motivation had no positive effect. This study aims to determine the effect of training and work motivation on employee performance in Kopiloka 3.0.  The population in this study were all employees at Kopiloka 3.0, which amounted to 15 people with a sample of 15 people using saturated sampling.  The data analysis technique in this study used SPSS 24 software, which consisted of data quality test, classical assumption test, multiple regression analysis, and hypothesis testing. By using multiple regression analysis, the results of the study show that training has no effect on employee performance.  Motivation has a significant effect on employee performance.  Simultaneously (together) the independent variables of training and motivation have an effect on employee performance.

A Proposed Model for Sustaining Quality Assurance Using TQM Practices in Small and Medium Scale Industries

2016 ◽  
Vol 22 ◽  
pp. 184-190 ◽  
Author(s):  
S. Nallusamy
Keyword(s):  
Quality Assurance ◽  
Quality Management ◽  
Total Quality Management ◽  
Quality Improvements ◽  
Total Quality ◽  
Medium Scale ◽  
Proposed Model ◽  
Broad Overview

In earlier decades several studies made on Total Quality Management (TQM) practices in small and medium scale enterprises. By compiling the various research works that were carried out during 2010-2015 in the field of Small and Medium-Scale Industries (SMSIs) TQM can be broadly conceptualized in to as flexible and rigid practices. From the limited level of investigations so far made on the various research works it has lead in identifying the different factors that influence TQM practices in SMSIs and its supplementary growth. The purpose of this article is to examine the influence of flexible and rigid TQM practices in SMSIs. It gives a broad overview of how TQM practices are constructed and how it acts on the various quality improvements. This work is expected to widely sensitize the TQM practices in SMSIs and how quality assurance in organizations will have to gain its place in future.

Application of multiple regression analysis to morphometric characters obtained from Serranus cabrilla (linnaeus, 1758) by using stepwise method

2017 ◽  
Author(s):  
Levent Sangün ◽  
O. Ýnanç Güney
Keyword(s):  
Body Weight ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
The Body ◽  
Stepwise Multiple Regression ◽  
Morphometric Characters ◽  
Independent Variables ◽  
Fisheries Science ◽  
Stepwise Method

In fisheries science, high number of morphometric measures (independent variables) taken from different parts of the fish complicates the estimation of the body weight (dependent variable). Therefore, the researchers are seeking for a solution facilitating the interpretation of the equations of correlation between the characteristics. One way to deal with this challenge is the dimension reduction by means of stepwise multiple regression analysis. The aim of this study is to explain total variation with the same accuracy by using fewer independent variables. To accomplish this, 12 morphometric measures from 210 individuals of Serranus cabrilla were measured to estimate the body weight. Firstly, the 95% of the variation was explained by means of multiple regression analysis by using all variables. Then, by step-wise method, the same results were achieved with fewer independent variables. Finally, the variables with inter-multicollinearity eliminated and with two remaining independent variables determination coefficients resulted as 95%. The result showed that using more variables does not create significant distinction for accuracy to estimate the body weight although; the total length and body dept was the most effective features for weight.

scholarly journals Evaluation of Motor Transport Infrastructure Influence on Socio-Economic Indicators of Minsk Region

2018 ◽  
Vol 17 (4) ◽  
pp. 314-319
Author(s):  
R. B. Ivut ◽  
P. V. Popov ◽  
P. I. Lapkovskaya ◽  
I. V. Emelyanovich
Keyword(s):  
Economic Development ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Transport Infrastructure ◽  
Economic Indicators ◽  
Infrastructure Development ◽  
Independent Variables ◽  
Socio Economic Development ◽  
The Republic

The paper substantiates the necessity to study a transport infrastructure in the context of its impact on socioeconomic indicators pertaining to the development of a certain region. The importance of this study is confirmed by the goals and objectives of the transport system development of the Republic of Belarus, which are outlined in the National Strategy of the Republic of Belarus for Sustainable Socio-Economic Development for the period until 2030, and they are considered as well as priority areas for the development of Minsk region, presented in the Sustainable Development Strategy of Minsk Region for 2016–2025. The influence of eight indicators for transport infrastructure development of Minsk region on four key socio-economic indicators of the region development such as gross regional product, investment in fixed assets, revenues of consolidated budgets, average wage level has been investigated in the paper. A multiple regression analysis has been applied for assessing a relationship between dependent and independent variables. A step selection method has been used as a method of multiple regression analysis. All calculations have been carried out in the IBM SPSS Statistics 20 program. As a result of the study correlation indicators have been established between dependent and independent variables, relationships between variables and dependencies have been determined in the paper. The reliability of the obtained results have been verified with the help of the Fisher and Student's criteria. The obtained results have made it possible to identify key indicators for a transport infrastructure of Minsk region which have the greatest impact on socio-economic development of this region and can be used to analyze an investment attractiveness of Minsk region.

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