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Record W3106474970 · doi:10.34010/jimm.v6i1.3759

PENGARUH PELATIHAN PENGEMBANGAN DAN KARAKTERISTIK INDIVIDU TERHADAP KINERJA PELAYANAN DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KAB.TIMOR TENGAH SELATAN

2020· article· id· W3106474970 on OpenAlexaff
DODY FRENDY H SE’U

Bibliographic record

VenueJurnal Ilmiah Magister Managemen · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

Penelitian ini dilakukan di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Timor Tengah Selatan. Fenomena yang terjadi adalah kurangnya tenaga operasional dalam melakukan pekerjaan baru dan kurangnya ketepatan waktu peneyelesaian pekerjaan. Hal ini mungkin dipengaruhi oleh kurangnya program pelatihan pengembangan dan Karaktristik Individu yang ada di Dinas Kependudukan dan Pencatatan Sipil Kabupaten Timor Tengah Selatan.Metode penelitian ini menggunakan metode deskriptif dan asosiatif. Unit analisis dalam penelitian ini adalah seluruh karyawan dan UPT Dina Kependudukan dan Pencatatan Sipil Kabupaten Timor Tengah Selatan yang berjumlah 58 orang. Teknik sampling yang digunakan adalah sampling jenuh atau sensus.Hasil penelitian ini diketahui bahwa pelatihan pengembangan berpengaruh terhadap kinerja pelayanan sebesar 45,9%, sementara karakteristik individu berpengaruh terhadap kinerja pelayanan sebesar 31,1%. Sedangkan pengaruh secara simultan antara pelatihan pengembangan dan karakteristik individu terhadap kinerja pelayanan sebesar 44,7%.

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 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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.626
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0040.003
Open science0.0040.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.039
GPT teacher head0.268
Teacher spread0.228 · 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; both teacher heads agree on what is shown here.

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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