PENGARUH KEBIJAKAN PENGUPAHAN DAN BIAYA TENAGA KERJA TERHADAP KINERJA PRODUKSI PRA PANDEMI COVID-19 PT UNILEVER INDONESIA, TBK.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Penelitian ini dilakukan untuk menganilisis serta mendiskusikan seberapa besar pengaruh antara Kebijakan Pengupahan Kabupaten Bekasi dan Biaya Tenaga Kerja baik secara parsial maupun simultan terhadap Kinerja Produksi di Perusahaan terbuka PT. Unilever Indonesia, Tbk. periode tahun 2008 – 2019.Metode penelitian menggunakan uji hipoteis antara variabel-variabel memengaruhi terhadap yang dipengaruhi dalam suatu model. Jenis data sekunder runtut waktu (time series) selama 12 tahun, dengan teknik analisis regresi linier.Hasil pembuktian hipotesis menunjukkan simpulan-simpulan: Model1,terdapat pengaruh signifikan antara Kebijakan pengupahan terhadap Kinerja Produksi sebesar 86,40 persen. Model 2, terdapat pengaruh signifikan antara Biaya Tenaga Kerja terhadap Kinerja Produksi sebesar 93,00 persen. Dan Model 3, secara simultan ada pengaruh signifikan sebesar 97, 00 persen, antara Kebijakan pengupahan dan Biaya Tenaga Kerja Langsung terhadap Kinerja Produksi PT. Unilever Indonesia, Tbk.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 it