PENGARUH KONFLIK PERAN GANDA, STRES KERJA, DAN DISIPLIN KERJA TERHADAP KINERJA KARYAWAN WANITA
Bibliographic record
Abstract
In the world of employment, not only men have the opportunity to occupy important positions in the organization, women also have the same opportunities. One company with a male-dominated workforce such as a consumer finance company also provides equal opportunities for female workers. The object of this research is PT. Federal International Finance Denpasar-2 Branch due to the decline in the performance of female employees which is thought to be influenced by several causes including multiple role conflicts, work stress, and work discipline. This study aims to determine the effect of dual role conflict, work stress and work discipline on the performance of female employees. The population of this study were married female employees with a sample of 30 respondents. The data analysis technique uses Validity Test, Reliability Test, Classical Assumption Test, Multiple Linear Regression Analysis, Coefficient of Determination Test, F Test and t Test. The results of the study found: (1) dual role conflict had a significant negative effect on the performance of female employees, (2) work stress had a significant negative effect on the performance of female employees, (3) work discipline had a significant positive effect on the performance of female employees. To improve the performance of female employees, the company is expected to be able to provide encouragement or encouragement to employees, always escort employees at work, give warnings or punishments to employees who do not obey the rules and always help employees when experiencing difficulties at work.Keywords: Multiple Role Conflict, Work Stress, Work Discipline and Employee Performance
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.022 | 0.006 |
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".