Open AccessWorkload and Motivation on Employees Performance Analyzed by Information Technology
Author(s) -
Iyan Andriana,
Dwi Riyanto,
Didit Darmawan
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/662/2/022120
Subject(s) - workload , path analysis (statistics) , psychology , computer science , applied psychology , operating system , machine learning
The research purpose was to measure the relationship of workload and motivation to employee’s performance and the effect of motivation on employee’s performance, workload on employee’s performance, workload and motivation on employee’s performance. This research used a quantitative approach with the methods used such as observation, interviews, and questionnaires, data analysis was written using path analysis. Path analysis is a technique for analyzing causal relationships that occur in multiple regression. Relationship between workload and motivation on employee’s performance is 0.49. The effect of motivation on employee’s performance is significant at 30.05%, but the influence of workload on performance is nonsignificant at 5.46%. Workload and motivation on employee’s performance are significant at 35.51%. Based on these results, the workload and motivation have a strong and significant relationship. Although workload has a non-significant effect on employee’s performance partially, the workload and motivation have a significant effect on employee’s performance in medical manufacturing.