UPAYA KERJA DALAM RANGKA MENINGKATKAN KINERJA PEGAWAI SEKRETARIAT BADAN DIKLAT PERHUBUNGAN DI JAKARTA
Bibliographic record
Abstract
The main purposes of this research is to identify and acquire the necessary information regarding the work effort in improving employee’s job performance. The research was conducted at Secretariat of Education and Training Agency on Ministry of Transportation in Jakarta, during October 2008 to January 2009. The method is survey with questionnaire as tool for data collecting. This research included 40 employees as unit analysis. Data is analyzed using descriptive approach. The results indicate the employees of Secretariat of Education and Training Agency on Ministry of Transportation in Jakarta have both high work effort and job performance. Based on those findings it could be concluded that high work effort has effected employees’ job performance at Secretariat of Education and Training Agency on Ministry of Transportation in Jakarta. Therefore, the employees job performance should be kept by giving the rewards. It should be put into account in maintaining employees at Secretariat of Education and Training Agency on Ministry of Transportation in Jakarta.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.003 |
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".