Analysis of the Influence of Work Motivation and Work Environment on Employee Performance: Case Study at PT. Panja Multi Mineralindo
Bibliographic record
Abstract
This study aims to analyze the influence of work motivation and work environment on employee performance at PT. Panja Multi Mineralindo, a company engaged in mining and natural stone crushing. This study uses a quantitative approach with a census method or saturated sample, involving the entire population of 77 employees. Data were analyzed using multiple linear regression with the help of SPSS software version 25. The results of the study indicate that there is a positive and significant influence between work motivation and employee performance, as well as a positive and significant influence between work environment and employee performance. In addition, work motivation and work environment simultaneously affect employee performance. The Adjusted R² value of 0.431 indicates that 43.1% of employee performance variation can be explained by work motivation and work environment, while the rest is influenced by other variables not studied. This study provides important implications for company management to increase motivation and create a conducive work environment in order to improve 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".