PENGARUH UPAH TERHADAP TURNOVER INTENTION KARYAWAN TEXTILE INDUSTRY: STUDI KASUS PADA PT. HEGARMANAH LESTARI
Bibliographic record
Abstract
Human capital is an important asset for the company and the presence of a high-productivity human capital plays an important role in the success of the company. Therefore, if a company has a high employee turnover rate, the company's performance can be disrupted. The Central Statistics Agency (BPS) reports that the textile industry contributed 6.56% to the non-oil and gas processing industry's Gross Domestic Product (GDP) in the second quarter of 2022. Work activity in the textile trading line has a relatively low level of turnover intention and this study is examined to validate the cause. This study aims to describe the effect of wages on employee turnover intention at PT Hegarmanah Lestari. Data was collected using a quantitative approach and presented descriptively. The results of the study show that there is a significant influence between wages on the turnover intention of PT Hegarmanah Lestari employees. In simple terms, it can be said that PT Hegarmanah Lestari has a relatively low level of turnover intention due to the implementation of wages according to established and generally accepted standards.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.002 | 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".