PENCIPTAAN BUDAYA PERUSAHAAN YANG BAIK DALAM RANGKA MEMBANGUN PERUSAHAAN BERKUALITAS GLOBAL MELALUI PENINGKATAN ETOS KERJA KARYAWAN
Bibliographic record
Abstract
Budaya perusahaan yang kuat dan jelas dapat memberikan kerangka kerja yang mendasar kepada semua orang. Adanya kejelasan terhadap tata peraturan, Standar Operasional Prosedur (SOP) dan visi misi yang ingin dituju, akan mempermudah setiap karyawan dalam melaksanakan aktivitasnya. Tanpa adanya kejelasan tata peraturan, prosedur yang konkret dan visi misi yang jelas, karyawan tidak akan mampu mencapai hasil kerja yang optimal. Tujuan dalam pembentukan budaya perusahaan yang baik adalah menciptakan etos kerja karyawan yang tinggi, etos kerja tinggi merupakan tolok ukur kualitas dari suatu perusahaan. Budaya perusahaan adalah soft side, sebagai pendukung hard side (sistem produksi, struktural, desain dan teknologi) untuk memacu kualitas. Kata kunci: Budaya Perusahaan, Kualitas Perusahaan, Etos Kerja
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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.048 | 0.008 |
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".