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Record W3086439746 · doi:10.53654/mv.v2i2.117

Pengaruh Seleksi Terhadap Kinerja Karyawan pada PT. Trans Retail Indonesia Carrefour Panakukang Makassar

2020· article· id· W3086439746 on OpenAlexaff
Ady Andardinata, Andi Nonong Sunrawali, Dian Setiawan

Bibliographic record

VenueMovere Journal · 2020
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicEmployee Performance and Leadership
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMathematicsHumanitiesArt

Abstract

fetched live from OpenAlex

Pengaruh Seleksi Terhadap Kinerja Karyawan pada PT. Trans Retail Indonesia Carrefour Panakukang Makassar.Penelitian ini bertujuan untuk mengetahui pengaruh seleksi terhadap kinerja karyawan pada PT. Trans Retail Indonesia Carrefour Panakukang Makassar.Sumber data dalam penelitian ini adalah data primer dan sekunder.Metode analisis yang digunakan adalah analisis deskriptif dan analisis statitistik dengan beberapa teknik analisa melalui pemanfaatan Statistical Package for Social Science (SPSS) versi 17.0 for Windows antara lain, uji regresi linier sederhana,koefisien korelasi,koefisien determinasi dan uji t, dimana y =26,531 + 0,389X, r = 0,487, r2 = 0,237 (23,7%), t hitung = 4,056 dan t tabel = 1,674. Dari hasil penelitian ini diperoleh nilai t hitung lebih besar dari nilai t tabel (3,983 > 1,674) pada taraf nyata 0,05 (5%). Dengan demikian H0 ditolak dan menerima Ha, artinya seleksi berpengaruh postif dan signifikan terhadap kinerja karyawan pada PT. Trans Retail indonesia Carrefour Panakukang Makassar.Dengan demikian hipotesis diterima.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0910.024

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 head0.048
GPT teacher head0.222
Teacher spread0.174 · 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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Citations0
Published2020
Admission routes1
Has abstractyes

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