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p-Index From 2021 - 2026
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All Journal Majapahit Journal of Islamic Finance dan Management Majapahit Journal of Islamic Finance dan Management
Ferdy Arianto
Universitas Swadaya Gunung Jati, Cirebon, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Organizational Commitment, Workload, and Organizational Justice as Predictors of Turnover Intention at PT Hi-Lex Cirebon Ferdy Arianto; Kartono
Majapahit Journal of Islamic Finance and Management Vol. 6 No. 2 (2026): Islamic Finance and Management
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/mjifm.v6i2.1042

Abstract

This study analyzes the effect of organizational commitment, workload, and organizational justice on turnover intention among employees of PT Hi-Lex Cirebon. The study used a quantitative explanatory design with questionnaire data from 100 employees selected through purposive sampling. Data were analyzed using SPSS through validity, reliability, classical assumption, multiple regression, t-test, F-test, and coefficient of determination. The results show that the three variables have significant partial and simultaneous effects on turnover intention, with workload as the strongest predictor. The policy synthesis recommends workload balancing, stronger employee commitment, and more transparent organizational justice practices to support employee retention.
Organizational Commitment, Workload, and Organizational Justice as Predictors of Turnover Intention at PT Hi-Lex Cirebon Ferdy Arianto; Kartono
Majapahit Journal of Islamic Finance and Management Vol. 6 No. 2 (2026): Islamic Finance and Management
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/mjifm.v6i2.1042

Abstract

This study analyzes the effect of organizational commitment, workload, and organizational justice on turnover intention among employees of PT Hi-Lex Cirebon. The study used a quantitative explanatory design with questionnaire data from 100 employees selected through purposive sampling. Data were analyzed using SPSS through validity, reliability, classical assumption, multiple regression, t-test, F-test, and coefficient of determination. The results show that the three variables have significant partial and simultaneous effects on turnover intention, with workload as the strongest predictor. The policy synthesis recommends workload balancing, stronger employee commitment, and more transparent organizational justice practices to support employee retention.
Co-Authors Kartono