Peran Motivasi Terhadap Kinerja Pegawai pada Politeknik Kesehatan Kementerian Kesehatan Surakarta
Bibliographic record
Abstract
Kajian ini bermaksud guna mengidentifikasi, menguji dan menganalisis peran motivasi pada kinerja pegawai pada Politeknik Kesehatan Kementerian Kesehatan Surakarta. Penelitian menggunakan dua variabel bebas yaitu pendidikan pelatihan dan kapabilitas dan variabel intervening ialah motivasi. Populasi dalam penelitian ini sebanyak 50 pegawai Politeknik Kesehatan Kementerian Kesehatan Surakarta, sampel diperoleh dengan menggunakan teknik pembagian kuesioner terhadap pegawai. Regresi linear berganda dipakai guna menghitung relasi antara variabel bebas dan variabel intervening, validitas data dihitung dengan Product Moment Pearson, serta Cronbach’s Alpha digunakan untuk menghitung reliabilitas data. Hasil kajian memaparkan pendidikan pelatihan berpengaruh positif dan substansial pada motivasi pegawai, kompetensi berpengaruh positif dan substansial pada motivasi pegawai, pendidikan pelatihan berpengaruh positif dan substansial pada kinerja pegawai, kapabilitas berpengaruh positif dan substansial pada kinerja pegawai dan motivasi berpengaruh postif dan substansial pada kinerja pegawai. Hasil dari analisis jalur membawa pada kesimpulan bahwa pengaruh langsung dan tak langsung, variabel kompetensi adalah jalur yang paling dominan dibanding variabel lainnya.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.044 | 0.005 |
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".