PERAN KUALITAS SUMBER DAYA MANUSIA DALAM MENINGKATKAN KINERJA PEGAWAI: SELF ESTEEM SEBAGAI VARIABEL INTERVENING
Bibliographic record
Abstract
Peran Kualitas Sumber Daya Manusia Dalam Meningkatkan Kinerja Pegawai: Self Esteem Sebagai Variabel Intervening. Penelitian ini bertujuan untuk untuk mengetahui pengaruh Kualitas Sumber Daya Manusia, Self Esteem terhadap Kinerja Pegawai pada Dinas Arsip dan Perpustakaan Daerah Kabupaten Buleleng. Banyak faktor yang mempengaruhi kinerja karyawan, tetapi faktor yang jarang diukur adalah self esteem dan kualitas sumber daya manusia. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data menggunakan kuesioner. Jumlah sampel dalam penelitian ini adalah 54 responden. Teknik analisis data yang digunakan dalam penelitian ini menggunakan bantuan program SmartPLS. Hasil Penelitian menunjukkan bahwa Kualitas Sumber Daya Manusia berpengaruh positif signifikan terhadap Self Esteem Pada Dinas Arsip dan Perpustakaan Daerah Kabupaten Buleleng. Kualitas Sumber Daya Manusia berpengaruh positif signifikan terhadap Kinerja Pegawai Pada Dinas Arsip dan Perpustakaan Daerah Kabupaten Buleleng. Self Esteem berpengaruh positif signifikan terhadap Kinerja Pegawai Pada Dinas Arsip dan Perpustakaan Daerah Kabupaten Buleleng.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 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".