PENGARUH SISTEM REMUNERASI DAN LINGKUNGAN KERJA TERHADAP KEPUASAN KARYAWAN BPJS KETENAGAKERJAAN WILAYAH 3T DENGAN BEBAN KERJA SEBAGAI VARIABEL MODERASI
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh sistem remunerasi dan lingkungan kerja terhadap kepuasan karyawan di BPJS Ketenagakerjaan Wilayah 3T. Selain itu, penelitian ini juga mengeksplorasi peran beban kerja sebagai variabel moderasi dalam hubungan tersebut. Metode yang digunakan adalah survei dengan kuesioner, dan analisis data dilakukan melalui analisis regresi moderasi. Hasil penelitian menunjukkan bahwa sistem remunerasi dan lingkungan kerja memiliki pengaruh positif dan signifikan terhadap kepuasan karyawan. Namun, beban kerja terbukti melemahkan pengaruh positif dari sistem remunerasi dan lingkungan kerja terhadap kepuasan karyawan. Temuan ini memberikan wawasan tentang pentingnya pengelolaan beban kerja dalam upaya meningkatkan kepuasan kerja karyawan di lingkungan kerja yang menantang. This study aims to analyze the influence of the remuneration system and work environment on employee satisfaction at BPJS Ketenagakerjaan Region 3T. Additionally, it explores the role of workload as a moderating variable in this relationship. The research employs a survey methodology using a questionnaire, with data analyzed through moderated regression analysis. The results indicated that both the remuneration system and work environment positively and significantly affect employee satisfaction. However, workload has been found to weaken the remuneration system and the positive influence of the work environment on employee satisfaction. These findings provide insights into the importance of managing workload to enhance employee satisfaction in challenging work environments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it