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The Effect of Workload, Professionalism, Incentives and Work Motivation on Health Worker Performance Minarni Purnaningsih; Istiatin Istiatin; Oong Ridhoi
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 7 No. 9 (2026): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v7i9.12635

Abstract

This study aims to analyze the influence of workload, professionalism, incentives, and work motivation on the performance of health workers at Dr. RM. Soedjarwadi Regional Mental Hospital, Central Java Province, both partially and simultaneously. This study uses a quantitative approach with a survey method. The research sample is 25% of all health workers directly involved in patient care at Dr. RM. Soedjarwadi Regional Mental Hospital, excluding medical personnel (doctors), with an incidental sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression with the help of SPSS, including the classical assumption test, F test, t test, and coefficient of determination (R²). The results of the study indicate that: (1) workload has a positive and significant effect on the performance of health workers (B = 0.629; sig. = 0.000); (2) professionalism has a positive and significant effect on the performance of health workers (B = 0.311; sig. =0.023); (3) incentives do not have a positive and significant effect on the performance of health workers (B = 0.043; sig. =0.627); (4) work motivation does not have a positive and significant effect on the performance of health workers (B = -0.145; sig. =0.326); and (5) workload, professionalism, incentives, and work motivation simultaneously have a positive and significant influence on the performance of health workers (F =15,487; sig. = 0.000). The Adjusted R Square value is0.475shows that the four variables are able to explain 47.5% of the variance in health worker performance, while the remaining 52.5% is influenced by other factors outside the model.
The Effect of Workload, Professionalism, Incentives and Work Motivation on Health Worker Performance Minarni Purnaningsih; Istiatin Istiatin; Oong Ridhoi
El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam Vol. 7 No. 9 (2026): El-Mal: Jurnal Kajian Ekonomi & Bisnis Islam
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/elmal.v7i9.12635

Abstract

This study aims to analyze the influence of workload, professionalism, incentives, and work motivation on the performance of health workers at Dr. RM. Soedjarwadi Regional Mental Hospital, Central Java Province, both partially and simultaneously. This study uses a quantitative approach with a survey method. The research sample is 25% of all health workers directly involved in patient care at Dr. RM. Soedjarwadi Regional Mental Hospital, excluding medical personnel (doctors), with an incidental sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression with the help of SPSS, including the classical assumption test, F test, t test, and coefficient of determination (R²). The results of the study indicate that: (1) workload has a positive and significant effect on the performance of health workers (B = 0.629; sig. = 0.000); (2) professionalism has a positive and significant effect on the performance of health workers (B = 0.311; sig. =0.023); (3) incentives do not have a positive and significant effect on the performance of health workers (B = 0.043; sig. =0.627); (4) work motivation does not have a positive and significant effect on the performance of health workers (B = -0.145; sig. =0.326); and (5) workload, professionalism, incentives, and work motivation simultaneously have a positive and significant influence on the performance of health workers (F =15,487; sig. = 0.000). The Adjusted R Square value is0.475shows that the four variables are able to explain 47.5% of the variance in health worker performance, while the remaining 52.5% is influenced by other factors outside the model.