PENGARUH PELATIHAN, MOTIVASI, KOMPETENSI TERHADAP KINERJA SUMBER DAYA MANUSIA
Bibliographic record
Abstract
Tujuan penelitian ini yaitu mendeskripsikan keterkaitan pelatihan,kompetensi, dan motivasi aktualisasi diri terhadap kinerja SDM serta meyusun model peningkatan kinerja SDM yang optimal. Variabel independen dalam penelitian yaitu pelatihan, kompetensi, dan motivasi aktualisasi diri.Variabel dependennya adalah kinerja SDM.Serta variabel interveningnya adalah kompetensi. Populasi dalam penelitian yaitu karyawan tetap yang terdapat di PDAM Tirta Kencana Kota Samarinda.Sampel dihitung memakai rumus slovin dan hasilnya 177 responden. Pengumpulan data dilakukan dengan observasi, dokumentasi, beberapa jurnal terdahulu, wawancara, dan kuesioner yang disebarkan langsung. Metode analisis yaitu deskriptif dan statistik. Hasil menunjukkan variabel pelatihan, kompetensi, dan motivasi berpengaruh positif terhadap kinerja SDM dan pelatihan berpengaruh secara tidak langsung terhadap kinerja SDM melalui variabel intervening kompetensi.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".