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Journal : Journal on Education

The Analysis of Role of Motivation, Career Development and Compensation on Performance of Vocational High School Teachers Agus Siswanto; Zunan Setiawan; Rivaldo Kurniawan Iryanto; Zainiyatul Afifah; Abdurohim Abdurohim
Journal on Education Vol 5 No 4 (2023): Journal on Education: Volume 5 Nomor 4 Mei-Agustus 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v5i4.2604

Abstract

The purpose of this study is to ascertain how motivation, pay, and career advancement affect teachers' performance. The study's sample consisted of 51 teachers. Multiple regression is the statistical tool utilized, with the sample method being simple random sampling. Using the statistical program SPSS 16.0, data were examined. With a sig F value of 0.000 < 0.1 and an f-count of 18.976, the findings of this study demonstrate that motivation, compensation, and career growth strongly influence teacher performance. The findings of the motivation t-test, with a sig t value of 0.025 < 0.1 and a t-count value of 2.310, have a significant impact on teachers' performance. With a significant value of 0.000 < 0.1 and a t-count of 4.439, career growth strongly influences teacher performance.
The Influence of Work Environment and Workload on Cyberloafing Behavior of Employees at Department of Education and Culture Agus Siswanto; Zunan Setiawan; Roy Setiawan; Betty Rahayu; Musran Munizu
Journal on Education Vol 5 No 4 (2023): Journal on Education: Volume 5 Nomor 4 Mei-Agustus 2023
Publisher : Departement of Mathematics Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joe.v5i4.2765

Abstract

This study's goal is to determine how the workplace environment, multiple roles, and workload affect their cyberloafing habits. In order to collect quantitative data for this study, questionnaires were distributed and library data were utilised. The data analysis technique used is multiple linear regression with SPSS 25. The data analysis methods used are coefficient of determination (R2), traditional assumption testing, hypothesis testing, and data quality testing. As shown by the significance level F < α (0.000 < 0 .05) and adjusted R square of 0.375, the findings of this study show that workload, multiple roles, and the work environment have an immediate and significant impact on cyberloafing behavior. Research indicates that 37.5% of cyberloafing behavior is caused by workload, multiple roles, and work environment.