Galore International Journal of Applied Sciences and Humanities

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Original Research Article

Year: 2019 | Month: January-March | Volume: 3 | Issue: 1 | Pages: 17-25

Factors That Affect the Work Satisfaction of Health Center Staff Urban Area Manokwari District West Papua Province

Yahya Salabai1, A.L.Rantetampang2, Arry Pongtiku3, Anwar Mallongi4

1Magister Program of Public Health, Faculty of Public Health, Cenderawasih University, Jayapura.
2,3Lecturer of Master Program in Public Health. Faculty of Public Health, Cenderawasih University, Jayapura
4Environmental Health Department, Faculty of Public Health, Hasanuddin University, Makassar

Corresponding Author: Anwar Mallongi


One of the government's efforts to improve public health status is to increase public access to health services through the provision of the easiest types of basic health facilities for the community, namely health centers. The Puskesmas as the first level facility in providing basic health services to the community is required to have good quality health services. The demands and needs of the community for quality health services need to be addressed by improving the quality of Human Resources. This study aims to determine the factors that include gender, age, education, work, leadership and motivation factors in influencing employee job satisfaction at the Urban Health Center of Manokwari Regency. This research is descriptive-analytical by processing data distributed to respondents based on population. Sampling was done by the Census Method which took all populations into a large sample of 88 Puskesmas employees. Data is processed using the SPSS program.
The results of bivariate analysis using the Chi-square test in urban health centers showed that group variables (p-value 0.025> 0.05) and leadership (p-value 0.015> 0.05) had an influence on employee job satisfaction, while gender variables , age, education, years of service and motivation showed no influence on the job satisfaction of employees of the Urban Health Center in Manokwari Regency.

Key words: Linear Model; Multicollinearity; Standard Deviation; Relative Efficiency

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