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Record W3111808406 · doi:10.52160/ejmm.v4i8.437

PENGARUH PENGEMBANGAN KARIR, KOMPETENSI, DAN KOMUNIKASI TERHADAP KEPUASAN KERJA KARYAWAN PADA PT SUMBER JADI KENCANA MOTOR

2020· article· id· W3111808406 on OpenAlexaff
Demak Claudia Yosephine Simanjuntak, Andre Halim, Graciela Graciela, Vina Tanri

Bibliographic record

VenueJurnal Mitra Manajemen · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness administrationPsychologyBusiness

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk menguji dan menganalisis pengaruh komunikasi terhadap kepuasan kerja karyawan di PT Sumber Jadi Kencana Motor Medan. Populasi adalah 132 dan sampel penelitian adalah 99 karyawan. Hasil perhitungan menunjukkan secara simultan Pengembangan Karir, Kompetensi dan Komunikasi berpengaruh positif dan signifikan terhadap Kepuasan Kerja Karyawan pada PT Sumber Jadi Kencana Motor Bidang. Secara simultan Pengembangan Karir, Kompetensi dan Komunikasi berpengaruh positif dan signifikan terhadap Kepuasan Kerja Karyawan pada PT Sumber Jadi Kencana Motor. Hasil uji koefisien determinasi diperoleh nilai Adjusted R Square sebesar 0,374 hal ini berarti 37,4% dari variasi variabel terikat yaitu keputusan pembelian yang dapat dijelaskan oleh variasi variabel bebas harga, promosi penjualan dan kualitas produk sedangkan sisanya sebesar 62,6% dijelaskan oleh variabel lain yang tidak diteliti pada penelitian ini, seperti pelatihan, analisis pekerjaan, motivasi kerja dan sebagainya.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.003

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 head0.031
GPT teacher head0.265
Teacher spread0.234 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations2
Published2020
Admission routes1
Has abstractyes

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