WORK MOTIVATION TO AFECTIVE COMMITMENT THROUGH JOB SATISFACTION IN EMPLOYEES PRONAFA SKIN CLINIC
Bibliographic record
Abstract
Employees are important components in a company, related to how the company can achieve its goals. The purpose of this study was to determine the effect of work motivation (reward) on employee commitment through perceived satisfaction. The object used in this study is Pronafa Skin Clinic in Sidoarjo. Data collection was specifically carried out by distributing questionnaires to the study sample. The sample was determined using non-probability sampling techniques and obtained as many as 45 employees as research respondents. The analytical method used is path analysis with the SmartPLS program. The results found that both hypotheses were accepted. (1) The first result found that work motivation (reward) has a positive and significant effect on commitment. (2) The second result found that satisfaction has a significant role in mediating the effect of work motivation (reward) on commitment. Keywords: Work Motivation, Reward, Commitment, Satisfaction
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.004 | 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".