scholarly journals The Influence Of Locus Of Control, Self Efficacy And Discipline Of Work, Job Satisfaction On Work Motivation In The Hj Bunda Halimah Hospital Batam

2021 ◽  
Vol 3 (2) ◽  
pp. 42-50
Author(s):  
Arman Syarif ◽  
Jemmy Rumengan ◽  
Dahlan Gunawan

In this study, researchers used respondent data, such as gender, age and duration  of work of respondents to be able to provide information about the characteristics of  respondents. The study population was employees in the Hj. Bunda Halimah Hospital  Batam, which consists of doctors and health workers such as nurses, midwives and  administrative staff. The sample is determined by the number of sample members  (sample size) 55 people by proportional random sampling technique. 15 doctors and 40  health employees. This study is the result of a field study to obtain questionnaire answer  data that measures five main variables in this study, namely locus Of Control, Self  Efficacy And Discipline Of Work, Job Satisfaction on Work Motivation of employees in  the Hj. Bunda Halimah Hospital Batam. The instrument was developed based on  theoretical studies, then defined in conceptual definitions, operational definitions, and  developed through lattice instruments and technical techniques. Knitted data analysis uses  descriptive statistics and statistical analysis to test the significance of path coefficients,  descriptive statistics to present data in the form of frequency distribution tables,  histograms, and the number of statistics such as media, modes, averages, variants, and  foreign standards. exchange. Statistical tests are used to test the significance of path  coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the  second generation using structural equation modeling (SEM). PLS can be used for a  small number of samples, and of course with a large number of samples will be better  able to improve the accuracy of estimates. PLS does not require the assumption that data  distribution must be normal or not. The construct form can use a reflective or formative  model in which from the results of statistical analysis, the relationship between variables  formulated in the formulation of a problem as many as 7 pieces obtained significant  results. 

2021 ◽  
Vol 3 (2) ◽  
pp. 16-23
Author(s):  
Adnan Suhardis ◽  
Jemm Rumengan ◽  
Dahlan Gunawan

 This study, researchers used respondent data, such as gender, age and duration of work of respondents to be able to provide information about the characteristics of respondents. The study population was employees at Batam University, which consisted of dosons and employees. The sample is determined by the number of sample members (sample size) of 60 people by proportional random sampling technique. 20 lecturers and 40 Batam university employees. This research is the result of a field study to obtain questionnaire answer data that measures five main variables in this study, namely Emotional Intelligence, Self-Efficiency, Working Spirit, Work Satisfaction to work achievement of Batam University employees. The instrument was developed based on theoretical studies, then defined in conceptual definitions, operational definitions, and developed through lattice instruments and technical techniques. Knitted data analysis uses descriptive statistics and statistical analysis to test the significance of path coefficients, descriptive statistics to present data in the form of frequency distribution tables, histograms, and the number of statistics such as media, modes, averages, variants, and foreign standards. exchange. Statistical tests are used to test the significance of path coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS can be used for a  small number of samples, and of course with a large number of samples will be better able to improve the accuracy of estimates. PLS does not require the assumption that data distribution must be normal or not. The construct form can use a reflective or formative model in which from the results of statistical analysis, the relationship between variables formulated in the formulation of a problem as many as 7 pieces obtained significant results.


2021 ◽  
Vol 3 (2) ◽  
pp. 123-130
Author(s):  
Aludin Andi ◽  
Jemmy Rumengan ◽  
Adnan Suhardis

This study uses a causal model survey method using path analysis techniques, based on the reasons this study aims to confirm the theoretical model with empirical data, the study population is employees of the Riau Islands Province Secretariat Public Relations Protocol Bureau, which consists of employees with a sample of 174 employees, because the population limited from all members of the sample population so this study uses saturated samples taken through census techniques using proportional random sampling when collecting technical data using variable measurements using a questionnaire instrument in which each employee is given five questionnaire instruments for the source of the measurement variables studied In addition to research instruments that use questionnaire, the instrument was developed based on theoretical studies, then defined in conceptual definitions, operational definitions, and developed through lattice instruments and technical techniques. Knitted data analysis uses descriptive statistics and statistical analysis to test the significance of path coefficients, descriptive statistics to present data in the form of frequency distribution tables, histograms, and total statistics such as media, modes, averages, variants, and foreign exchange standards. Statistical tests are used to test the significance of path coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS can be used for a small number of samples, and of course with a large number of samples will be better able to improve the accuracy of estimates. PLS does not require the assumption that data distribution must be normal or not. The construct form can use a reflective or formative model in which from the results of statistical analysis, the relationship between variables formulated in the formulation of a problem as many as 7 pieces obtained significant results.  


2021 ◽  
Vol 3 (2) ◽  
pp. 8-15
Author(s):  
Jemmy Rumengan ◽  
Adnan Suhardis ◽  
Dahlan Gunawan

In this study, researchers used respondent data, such as gender, age and duration  of work of respondents to be able to provide information about the characteristics of  respondents. The study population was employees in the Hj. Bunda Halimah hospital,  which consists of doctors and health workers such as nurses, midwives and administrative  staff. The sample is determined by the number of sample members (sample size) 55 people with proportional random sampling technique. 15 doctors and 40 health  employees. This research is the result of a field study to obtain questionnaire answer data  that measures five main variables in this study, namely Transformational Leadership,  Work Culture, Work Facilities, Job Satisfaction towards Performance in The Hj Bunda Halimah Hospital. The instrument was developed based on theoretical studies, then  defined in conceptual definitions, operational definitions, and developed through lattice  instruments and technical techniques. Knitted data analysis uses descriptive statistics and  statistical analysis to test the significance of path coefficients, descriptive statistics to  present data in the form of frequency distribution tables, histograms, and the number of  statistics such as media, modes, averages, variants, and foreign standards. exchange.  Statistical tests are used to test the significance of path coefficients using Partial Least  Square (PLS) which is a Multivariate Analysis in the second generation using structural  equation modeling (SEM). PLS can be used for a small number of samples, and of course  with a large number of samples will be better able to improve the accuracy of estimates.  PLS does not require the assumption that data distribution must be normal or not. The  construct form can use a reflective or formative model in which from the results of  statistical analysis, the relationship between variables formulated in the formulation of a  problem as many as 7 pieces obtained significant results.


2021 ◽  
Vol 3 (2) ◽  
pp. 24-32
Author(s):  
Sri Yanti ◽  
Jemmy Rumengan ◽  
Dahlan Gunawan

This study, researchers used respondent data, such as gender, age and duration of  work of respondents to be able to provide information about the characteristics of  respondents. The study population was employees at Batam University, which consisted  of dozens and employees. The sample is determined by the number of sample members  (sample size) of 90 people by proportional random sampling technique. 45 lecturers and  45 Batam university employees. This research is the result of a field study to obtain  questionnaire answer data that measures five main variables in this study, namely Work  Discipline, Ethics, Communication, Job Satisfaction of work Loyalty at Batam University  employees. The instrument was developed based on theoretical studies, then defined in  conceptual definitions, operational definitions, and developed through lattice instruments  and technical techniques. Knitted data analysis uses descriptive statistics and statistical  analysis to test the significance of path coefficients, descriptive statistics to present data  in the form of frequency distribution tables, histograms, and the number of statistics such  as media, modes, averages, variants, and foreign standards. exchange. Statistical tests are  used to test the significance of path coefficients using Partial Least Square (PLS) which is  a Multivariate Analysis in the second generation using structural equation modeling  (SEM). PLS can be used for a small number of samples, and of course with a large  number of samples will be better able to improve the accuracy of estimates. PLS does not  require the assumption that data distribution must be normal or not. The construct form  can use a reflective or formative model in which from the results of statistical analysis,  the relationship between variables formulated in the formulation of a problem as many as  7 pieces obtained significant results.


2021 ◽  
Vol 3 (2) ◽  
pp. 67-74
Author(s):  
Faisal Husni ◽  
Didi Kurniadi ◽  
Verlina Y Kawangung ◽  
Putri Rahmawati

This study uses a causal model survey method using path analysis techniques. This study aims to confirm the  theoretical model with empirical data, the study population is employees in Investment and Integrated Service Office  Bintan Regency, with sample of 39 employees. Data collecting technical using variable measurements by a  questionnaire instrument, this instrument was developed based on theoretical studies. Data analysis uses descriptive  statistics and statistical analysis. Statistical tests are used to test the significance of path coefficients using Partial Least  Square (PLS) which is a Multivariate Analysis in the second generation using structural equation modeling (SEM). PLS  can be used for a small number of samples and does not require the assumption that data distribution must be normal or  not. The results of the analysis found that the relationships between variables formulated in the formulation of the  problem as many as 6 pieces obtained significant results. 


Author(s):  
Enrico Rinaldi ◽  
Setyo Riyanto

The current Covid-19 pandemic has resulted in many hospitals in the world experiencing difficulties both in terms of management and infrastructure in providing services because the number of patients has increased in a short time. The human aspect has a significant role in hospitals, with the characteristics of various ages, education levels, position levels, and length of work. Menteng Mitra Afia General Hospital (MMA GH) is one of 144 hospitals in Jakarta that accepts COVID-19 patients and has had significant changes in terms of service and management. In this study, the authors succeeded in analyzing the influence of work motivation, work environment, and job satisfaction on Organizational Citizenship Behavior (OCB) and their impact on employee performance at MMA GH during the COVID 19 pandemic. Sampling method with a total sampling of 121 respondents from the population of employees who returned the questionnaire. The technical data analysis technique uses the Structural Equation Modeling, where the data processing uses the Partial Least Square (Smart-PLS) version 3.0 program. From the results of data analysis, it was found that work motivation has the most significant loading factor in its influence on OCB and employee performance, followed by Job Satisfaction and Work Environment. The conclusions that can be drawn from the results of data analysis and discussion are as follows: (1) Work Motivation has an effect on OCB (2) Work Environment has no effect on OCB (3) Job Satisfaction has an effect on OCB (4) Work motivation has an effect on Employee Performance (5) OCB has an effect on Employee Performance (6) Job Satisfaction has an effect on Employee Performance at MMA GH.


2021 ◽  
Vol 3 (2) ◽  
pp. 59-66
Author(s):  
Putri Rahmawati ◽  
Verlina Y Kawangung ◽  
Didi Kurniadi ◽  
Faisal Husni

This study uses a causal model survey method using path analysis techniques. This study aims to confirm the  theoretical model with empirical data, the study population is employees in the Bintan Regency Health Office, which  consists of civil servants and honorary employees with samples of 89 employees. Data collecting technical using  variable measurements by questionnaire instruments, this instrument was developed based on theoretical studies. Data  analysis uses descriptive statistics and statistical analysis. Statistical tests are used to test the significance of path  coefficients using Partial Least Square (PLS) which is a Multivariate Analysis in the second generation using structural  equation modeling (SEM). PLS can be used for a small number of samples and does not require the assumption that  data distribution must be normal or not. The results of the analysis found that relationships between variables  formulated in the formulation of the problem as many as 6 pieces obtained significant. 


2020 ◽  
Vol 3 (4) ◽  
Author(s):  
Kustini Kustini ◽  
◽  
Sugeng Purwanto ◽  
◽  

This study aims to determine the effect of Remuneration on Motivation and Job Satisfaction, and Lecturer Performances of the Universitas Pembangunan Nasional Veteran Jawa Timur. This type of research is an explanatory study with a quantitative approach. The variables in this study include Remuneration, Motivation, Job Satisfaction, and Performance. The sample in this study were 114 respondents with simple random sampling technique and data collection through questionnaires. Analysis of the data in this study using SEM-PLS (Structural Equation Modeling - Partial Least Square) using the SmartPLS Version 3 software. The results of the analysis show 1) a positive significant effect between remuneration variables on work motivation and job satisfaction 2) Positive significant influence between job satisfaction on motivation, and performance, 3) The positive significant influence between motivation on performance, 4) While the effect of remuneration on performance is not significant. To improve lecturer performance, management of the institution requires effective remuneration and optimization of workloads while increasing motivation and job satisfaction in order to achieve good performance.


Author(s):  
Made Widya Astiti ◽  
Ida Bagus Ketut Surya

This study aims to determine the role of organizational commitment in mediating the effect of work motivation and job satisfaction on turnover intention of nurses at private hospitals in South Kuta. The number of samples used was 82 nurses using saturated sampling technique or census methods and collecting data using a questionnaire that uses a Likert scale. The data analysis technique was performed using Structural Equation Modeling (SEM) with the Partial Least Square (PLS) approach, and the VAF test to test the role of mediation. The results show that there is a negative and significant influence of organizational commitment, work motivation and job satisfaction on turnover intention. There is a positive and significant effect of job satisfaction and work motivation on organizational commitment, as well as the role of organizational commitment as a partial mediator between work motivation and job satisfaction on turnover intention which has a negative and significant effect. The findings in this study imply that companies are required to pay more attention to appropriate compensation and to reward employees who are loyal to the company and pay attention to the working conditions of their employees so that employees will remain in the company.


Author(s):  
Senen Machmud

This study aims to determine the effect of self-efficacy towards work perception and job satisfaction. The population of this study is the employees of government agencies in Bandung, Indonesia. The total samples are 117 employees with purposive sampling technique. This study uses Partial Least Square-Structural Equation Modeling (SEM) for analyzing the data. The results showed that self-efficacy significantly influences the work perception and job satisfaction. Moreover, it is found that work perception has a significant effect on job satisfaction. It shows that the level of self-efficacy can increase the work perception and job satisfaction. It indicates that the high level of self-efficacy will be a positive influence on the behavior of employees in conducting their duties so that it can increase their job satisfaction.


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