Pengaruh Faktor Motivasi dan Hygiene Terhadap Kepuasan Kerja Pegawai Direktorat Jenderal Pajak (Studi pada Kanwil DJP Jateng II dan DIY)
Bibliographic record
Abstract
This research aims to examine the influence of motivation and hygiene factors on employee job satisfaction at the Directorate General of Taxes. Utilizisng a survey method and a quantitative approach, this study collects and analyzes data to evaluate how these two factors contribute to job satisfaction. The findings indicate that both motivation and hygiene factors significantly positively impact job satisfaction within the Directorate General of Taxes. Employees experiencing high levels of work motivation tend to see an increase in their job satisfaction. This suggests that strong motivation from job aspects such as recognition, achievement, and responsibility can enhance employee job satisfaction. Similarly, hygiene factors such as good working conditions, supportive organizational policies, and positive interpersonal relationships at work also contribute to increased job satisfaction.The conclusions of this study underline the importance of paying attention to both motivation and hygiene factors as strategies to enhance employee job satisfaction. The Directorate General of Taxes is advised to implement policies and practices that support these aspects to improve employee well-being and overall organizational effectiveness. This research provides valuable insights for human resource management in designing and implementing programs that can strengthen work motivation and ensure adequate hygiene conditions in the workplace.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".