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This research aims to examine the influence of employee well-being and interpersonal relationships on work productivity with job satisfaction as an intervening variable using primary data obtained by distributing questionnaires to 73 employees, namely at PTP Inti 4 Kinali Pasaman Barat. The results of this research show that (1) there is a positive and significant influence between employee well-being and job satisfaction. (2) there is a positive and significant influence between interpersonal relationships on job satisfaction (3) there is a positive and significant influence between employee well-being on work productivity. (4) there is a positive and insignificant influence between interpersonal relationships and work productivity. (5) there is a positive and insignificant influence between job satisfaction and work productivity. (6) there is a positive and insignificant influence between employee welfare on work productivity through job satisfaction. There is a positive and insignificant influence between interpersonal relationships and job satisfaction.

This research aims to determine and try to analyze the influence of discipline and cooperation on work productivity with job satisfaction as an intervening variable at PT. Wilmar Nabati Padang. This research is a Structural Equation Modeling (SEM) model with the SmartPLS 3.0 analysis tool. The population and sample of this research are employees of PT. Wilmar Nabati Padang. The research results found that there is an influence between discipline and job satisfaction. There is an influence between Collaboration on Job Satisfaction. There is an influence between discipline and work productivity. There is no influence between Collaboration on Work Productivity. There is an influence between Job Satisfaction and Work Productivity. Job Satisfaction mediates Discipline on Work Productivity. Job Satisfaction mediates Collaboration on Work Productivity.

This study aims to determine and prove the influence of leadership, work environment and compensation on work productivity of employees of the Class II Railway Engineering Center for Southern Sumatra Region with Job Satisfaction as an Intervening Variable either directly or indirectly. The population in this study were all employees of the Class II Railway Engineering Center for the Southern Sumatra Region, while the sample was part of the population that would be the object of research. In this study, the total population was 91 people. Sampling in this study used the Saturated Sample technique, namely sampling was carried out as a whole from the total population. In line with the opinion above, in this study, by considering a population of 91 people, the authors took a total of 91 people as research samples. The data analysis used in this study was to use the Structural Equation Model (SEM) analysis method which was operated through the Partial Least Square (PLS) program.