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Record W3134820591 · doi:10.32493/jk.v8i2.y2020.p67-81

PENGARUH KEBIJAKAN PENGUPAHAN DAN BIAYA TENAGA KERJA TERHADAP KINERJA PRODUKSI PRA PANDEMI COVID-19 PT UNILEVER INDONESIA, TBK.

2020· article· id· W3134820591 on OpenAlex
Francisca Sestri Goestjahjanti

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueKREATIF Jurnal Ilmiah Prodi Manajemen Universitas Pamulang · 2020
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematicsBusiness administrationPhysicsBusiness

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.869
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0020.000
Scholarly communication0.0020.004
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.035
GPT teacher head0.244
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it