Pengaruh Kepemimpinan, Komitmen Organisasi Dan Kepuasan Kerja Terhadap Kinerja Pegawai Perumda Air Minum Tirta Mahameru Kabupaten Lumajang
Bibliographic record
Abstract
Penelitian ini bertujuan untuk menganalisis pengaruh kepemimpinan, komitmen organisasi, dan kepuasan kerja terhadap kinerja pegawai PERUMDA Air Minum Tirta Mahameru Kabupaten Lumajang, baik secara parsial maupun simultan. Selain itu, penelitian ini juga berupaya mengidentifikasi variabel yang memiliki pengaruh dominan terhadap kinerja pegawai. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik analisis regresi linier berganda. Sampel penelitian adalah seluruh pegawai tetap PERUMDA Air Minum Tirta Mahameru sebanyak 70 orang, dengan teknik pengambilan sampel jenuh. Hasil penelitian menunjukkan bahwa kepemimpinan, komitmen organisasi, dan kepuasan kerja masing-masing berpengaruh signifikan terhadap kinerja pegawai secara parsial. Secara simultan, ketiga variabel tersebut juga memiliki pengaruh yang signifikan terhadap kinerja pegawai. Dari ketiga variabel yang diteliti, kepuasan kerja ditemukan sebagai faktor yang memiliki pengaruh dominan terhadap kinerja pegawai. Berdasarkan temuan ini, penelitian merekomendasikan pengembangan kepemimpinan yang efektif melalui pelatihan, peningkatan komitmen organisasi dengan melibatkan pegawai dalam pengambilan keputusan, serta peningkatan kepuasan kerja melalui perbaikan lingkungan kerja dan pengakuan terhadap kinerja pegawai. Dengan langkah-langkah ini, diharapkan kinerja pegawai dapat lebih optimal dalam mendukung pencapaian tujuan organisasi.
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 | 0.001 | 0.001 |
| 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 | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.034 | 0.006 |
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".