"EMPLOYEE PERFORMANCE ANALYSIS IN DIRECTORATE OF RESOURCES, DIRECTORATE GENERAL OF HIGHER EDUCATION, MINISTRY OF EDUCATION AND CULTURE"
Author(s)
Abstract
The performance indicators of the Directorate of Resources program in
2019 have not been maximized, only 77.60% has been achieved. For this
reason, this study was conducted, which aims to determine the influence
of internal employee factors, leadership, work team, work system and
work environment on employee performance in the Directorate of
Resources, so that we can get a picture and find out how much the
relationship and influence on each variable to improve and improve the
performance of employees in the Directorate of Resources. The analysis
of this research uses a linkert scale and a rating scale, and hypothesis
testing is carried out by analyzing Partial Least Squares Structural
Equation Modeling (PLS-SEM) with the SmartPLS 3 application. The result
of the research was obtained, employee internal factors, leadership,
work team, work system and work environment. has an influence on
employee performance. And employee internal factors that most dominantly
affect employee performance in the Directorate of Resources. Based on
this, efforts are needed for further research by exploring and
developing other variables that can affect performance. Likewise, the
object of research can be carried out on the same object or on different
objects.
Keywords
Performance, Internal factors, Leadership, Work team, and Work environment
How to cite:
Agustina, Santi Sayanti., & Sukwika, Tatan.
(2021). Analisis kinerja pegawai pada direktorat sumber daya, ditjen dikti kemendikbud. Journal of Applied Management Research, 1(1), 34-44. doi: https://doi.org/10.36441/jamr.v1i1.263
Journal of Applied Management Research by http://jurnal.usahid.ac.id/index.php/jamr is licensed under a Creative Commons AttributionNonCommercial-ShareAlike 4.0 International License
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David, G. (2016). Partial Least Squares: Regression & Structural Equation Models. North Country: Statistical Publishing Associates
Hunsaker, C. (2001). Management and Organizational. PT Gramedia Pustaka, Jakarta
Imam, G. (2014). Structural Equation Modeling Metode Alternatif dengan Partial Least Squares (PLS). Semarang. Badan Penerbit Universitas Diponegoro.
Mangkuprawira, S. (2009). Horison Bisnis, Manajemen, dan Sumber Daya Manusia. Bogor. ITB Press.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial least squares structural equation modeling. Handbook of market research, 26(1), 1-40.
Mustafa, S. A., Kamaruddin, S., Othman, Z., & Mokhtar, M. (2009). Ergonomics Awareness andidentifying Frequently Used Ergonomics programs in Manufacturing Industries Using Quality Function Deployment. American Journal of Scientific Research. 3.51-66.
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Robbins., & Stephen P. (2006). Perilaku Organisasi, Edisi kesepuluh. Jakarta: PT Indeks
Sudaryono. (2017). Metodologi Penelitian (1st ed.). Depok: Raja Grafindo Persada.
Terry, R. G. (2016). Prinsip-prinsip Manajemen. Jakarta. PT Bumi Aksara.
Vincenzo, E. V., Wynne, W. C., Jörg, H., & Huiwen, W. (2010). Handbook of Partial Least Squares: Concepts, Methods and Applications. Switzerland: Springer.
Wibowo. (2011). Manajemen Kinerja. Jakarta: PT. Raja Grafindo Persada.
Yukl, G. (2005). Kepemimpinan Dalam Organisasi, Edisi kelima. Jakarta: PT Indeks.
Yuliarti, D. L., & Anggriani, I. (2015). Analisis Faktor-Faktor yang Mempengaruhi Kinerja Pegawai Pada Dinas Pendapatan, Pengelolaan Keuangan dan Aset (DPPKA) Kota Bengkulu. Ekombis Review: Jurnal Ilmiah Ekonomi Dan Bisnis. 2(1). 122-138.
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