MétaCan
Menu
Back to cohort
Record W4304203398 · doi:10.37932/j.e.v12i2.618

PENERAPAN PRAKTEK MANAJEMEN SUMBER DAYA MANUSIA DAN HUBUNGANNYA DENGAN KINERJA KARYAWAN

2022· article· id· W4304203398 on OpenAlexaff
Evila Yolanda Putri, Amelia Putri, Aldilla Rahma Rahma, Fakhri Mujahid Maolani

Bibliographic record

VenueJurnal Ekobis Ekonomi Bisnis & Manajemen · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicEmployee Performance and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsPhilosophy

Abstract

fetched live from OpenAlex

Manajemen Sumber Daya Manusia adalah pengembangan SDM yang melaksanakan perencanaan, Penerapan, Perekrutan, Pelatihan, Pengembangan Karir Karyawan, pegawai serta melakukan inisiatif terhadap pengembangan organisasional di sebuah organisasi atau perusahaan. Bagian SDM bertanggung jawab untuk mengurus kebutuhan perusahaan yang berhubungan dengan SDM. Tim MSDM bertugas untuk menjadi penghubung antara manajer maupun karyawan seperti Menengahi konflik, meyelesaikan perselisihan dan memberikan jawaban berdasarkan kebijakan prosedur. Dengan adanya tim MSDM yang baik ini maka pekerjaan dalam sebuah perusahaan akan berjalan secara efisien dan efektif. Paper ini bertujuan untuk mengeksplor praktek Manajemen Sumber Daya Manusia pada perusahaan di Sektor Penyiaran Informasi dan untuk memberikan pemahaman kepada pembaca terkait penerapan Praktek MSDM. Paper ini menggunakan metode penelitian kualitatif dengan wawancara mendalam sebagai metode pengumpulan data. Wawancara dilakukan kepada 3 orang responden yang terdiri Kepala Human Resource Development (HRD), Staff Human Resource Development (HRD) dan Sekretaris Perusahaan dari perusahaan tersebut. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian descriptif. Penelitian ini menggunakan teknik pengumpulan data melalui observasi dan wawancara. Berdasarkan penelitian ini diketahui bahwa MSDM yang dilaksanakaan oleh perusahaan tersebut terdiri dari perencanaan SDM analisis jabatan, rekrutmen dan seleksi, pengangkatan dan penempatan karyawan, orientasi training dan pengembangan kompensasi, penilaian kinerja, karir karyawan, dan pemutusan hubungan 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.

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)0.002
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.047
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0470.009

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 head0.022
GPT teacher head0.278
Teacher spread0.256 · 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".

Quick stats

Citations16
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJurnal Ekobis Ekonomi Bisnis & ManajemenSame topicEmployee Performance and ManagementFrench-language works237,207