Budaya Organisasi, Komitmen Organisasi, dan Kompensasi Pengaruhnya Terhadap Kinerja Pegawai Kantor Balai Pendidikan dan Pelatihan Penerbangan Jayapura
Bibliographic record
Abstract
Tesis ini meneliti meneiliti pengaruh Budaya Organisasi terhadap Kinerja Pegawai, pengaruh Komitmen Organisasi terhadap Kinerja Pegawai, pengaruh Kompensasi terhadap Kinerja Pegawai, dan pengaruh Budaya Organisasi, Komitmen Organisasi, dan Kompensasi secara simultan terhadap Kinerja Pegawai Kantor Balai Pendidikan dan Pelatihan Penerbangan Jayapura. Penelitian ini merupakan penelitian kuantitatif. Populasi dalam penelitian ini adalah seluruh pegawai Kantor Balai Pendidikan dan Pelatihan Penerbangan Jayapura baik tenaga lapangan maupun tenaga administrasi, yakni sebanyak 89 orang pegawai. Jumlah sampel sebanyak 89 orang pegawai juga sebagai sampel penelitian ini. Temuan membuktikan bahwa 1). Budaya organisasi berpengaruh Positif terhadap Kinerja Pegawai Kantor Balai Pendidikan dan Pelatihan Penerbangan Jayapura, 2. Komitmen organisasi berpengaruh Positif terhadap Kinerja Pegawai Kantor Balai Pendidikan dan Pelatihan Penerbangan Jayapura, 3). Kompensasi berpengaruh Positif terhadap Kinerja Pegawai Kantor Balai Pendidikan dan Pelatihan Penerbangan Jayapura. 4). Budaya Organisasi, Komitmen Organisasi dan Kompensasi secara simultan berpengaruh terhadap Sumber Daya Manusia Pegawai Kantor Balai Pendidikan dan Pelatihan Penerbangan Jayapura. Kata Kunci: Budaya Organisasi, Komitmen Organisasi, Konpensasi, Kinerja Personil.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.029 | 0.007 |
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".