Published: 2024-10-01
Pemanfaatan Data Analytics untuk Mengkaji Pengaruh Motivasi, Kepuasan Kerja, dan Lingkungan Terhadap Kinerja Karyawan di Glory Industrial Semarang
DOI: 10.35870/jtik.v8i4.2921
Sri Rejeki, Efendi Sugianto, Bambang Sugiharto, Anita Lassa, Jhon Sepron Defretus Liem
- Sri Rejeki: Affiliation name not available , Universitas Bhayangkara Jakarta , Indonesia
- Efendi Sugianto: Affiliation name not available , Universitas Pertiba Pangkalpinang , Indonesia
- Bambang Sugiharto: Universitas Pembinaan Masyarakat Indonesia Medan , Indonesia .
- Anita Lassa: University of Timor , Indonesia .
- Jhon Sepron Defretus Liem: Affiliation name not available , Universitas Persatuan Guru 1945 , Indonesia
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Abstract
This study employs data analytics to examine the influence of motivation, job satisfaction, and the work environment on employee performance at Glory Industrial Semarang. Using a quantitative approach, the study involved a population of 300 employees, with a sample selected through probability sampling using the simple random sampling technique, resulting in 78 respondents. Data analysis was conducted using SPSS, revealing that the variables of job satisfaction, motivation, and the work environment each have a positive and significant impact on employee performance. The job satisfaction variable has a regression coefficient of 0.293 with a significance of 0.024, the motivation variable has a coefficient of 0.349 with a significance of 0.002, and the work environment variable has a coefficient of 0.262 with a significance of 0.000. These findings confirm that data analytics is effective in identifying factors that contribute to the enhancement of employee performance within the company
Keywords
Data Analytics ; Glory Industrial ; Job Satisfaction ; Performance ; Environment ; Motivation
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Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 8 No. 4 (2024)
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Section: Computer & Communication Science
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Published: %750 %e, %2024
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/jtik.v8i4.2921
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Sri Rejeki
Universitas Bhayangkara Jakarta, Jakarta Selatan, Daerah Khusus Ibukota Jakarta, Indonesia
Efendi Sugianto
Universitas Pertiba Pangkalpinang, Kota Pangkal Pinang, Kepulauan Bangka Belitung, Indonesia
Bambang Sugiharto
Universitas Pembinaan Masyarakat Indonesia Medan, Kota Medan, Sumatera Utara, Indonesia
Anita Lassa
Universitas Timor, Kabupaten Timor Tengah Utara, Provinsi Nusa Tenggara Timur, Indonesia
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