MétaCan
Menu
Back to cohort
Record W2790199473 · doi:10.29406/jmm.v12i2.447

Pengaruh Pelatihan Terhadap Produktivitas Kerja Karyawan Bagian Distribusi Pada PT. PLN (Persero) Area Sanggau

2017· article· id· W2790199473 on OpenAlex

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

VenueJURNAL MANAJEMEN MOTIVASI · 2017
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicEmployee Performance and Leadership
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMathematicsPhysics

Abstract

fetched live from OpenAlex

Penelitian ini menganalisis Pengaruh Pelatihan Terhadap Produktivitas Kerja Karyawan Bagian Distribusi pada PT. PLN (Persero) Area Sanggau. Penelitian dilakukan pada seluruh Karyawan Bagian Distribusi PT. PLN (Persero) Area Sanggau yang berjumlah 50 orang karyawan. Metode analisis yang digunakan adalah uji Chi-Square dengan dua kategori. Berdasarkan hasil analisa Chi-Square, maka dapat diketahui bahwa pelatihan berpengaruh terhadap produktivitas kerja. Hal ini ditunjukkan dengan nilai hitung Chi-Square sebesar 8,916 yang lebih besar dari nilai tabel Chi-Square sebesar 3,841 dan nilai probabilitas sebesar 0,003 yang lebih kecil dari nilai alpha sebesar 0,05 yang berarti Ho ditolak dan Ha diterima, dengan demikian hasil uji hipotesis menunjukkan bahwa terdapat pengaruh antara Jumlah Pelatihan terhadap Produktivitas Kerja Karyawan Bagian Distribusi pada PT. PLN (Persero) Area Sanggau. Kata Kunci : Pelatihan dan Produktivitas 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.

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), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
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
Bibliometrics0.0010.000
Science and technology studies0.0040.001
Scholarly communication0.0050.007
Open science0.0030.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0030.002

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 head0.051
GPT teacher head0.250
Teacher spread0.199 · 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