Influence Satisfaction, Compensation and Work Discipline the Employee Performance at PT. Lion Air in Batam
Bibliographic record
Abstract
<p>This study aimed to analyze the extent to which the effect of satisfaction, compensation and discipline on the performance of employees at PT. Lion Air in Batam as well as to analyze the most dominant variables affect the performance of employees at PT. Lion Air in applying Batam. For goal then used descriptive analysis, multiple regression analysis, validity and reliability test and partial test and test simultaneously.</p>From the results of the regression equation the influence of variables (job satisfaction, compensation and working discipline) with the performance of employees at PT. Lion Air Batam, there was a strong and significant influence, because the higher job satisfaction, compensation and working discipline, the higher the employee’s performance because it has a probability value of less than 0.05. Thus, in this study proved the first hypothesis. The most dominant variable affecting the performance of employees is job satisfaction, reasons for job satisfaction has a standardized coefficient of the largest value when compared with the variable compensation and work discipline.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".