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Record W4402219675 · doi:10.36985/kycgcz72

Pengaruh Pelatihan, Budaya Organisasi, Dan Kepuasan Kerja Terhadap Kualitas Pelayanan Publik Pada Dinas Pendapatan, Pengelolaan Keuangan, Dan Aset Kabupaten Simalungun

2019· article· id· W4402219675 on OpenAlexaff
Marulitua Tambunan, Marihot Manullang, Robert Tua Siregar, Sarintan E Damanik

Bibliographic record

VenueJurnal Regional Planning · 2019
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicEmployee Performance and Motivation
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness administrationBusiness

Abstract

fetched live from OpenAlex

Penelitian ini bertujuan untuk mengetahui dan menguji pengaruh pelatihan, budaya organisasi, dan kepuasan kerja terhadap kualitas pelayanan publik pada Dinas Pendapatan Pengelolaan Keuangan dan Aset kabupaten Simalungun. Adapun metode penelitian yang digunakan dalam penelitian ini adalah metode kuantitatif. Sedangkan teknik yang digunakan dalam pengumpulan data adalah: (1) observasi, (2) wawancara, (3) quesioner/angket dan (4) dokumentasi. Selanjutnya teknik analisis data yang dilakukan adalah analisis kuantitatif. Pengujian hipotesis menunjukkan beberapa hal yaitu: secara serempak pelatihan, budaya organisasi, dan kepuasan kerja berpengaruh positif dan signifikan terhadap kualitas pelayanan publik pada Dinas Pendapatan Pengelolaan Keuangan dan Aset kabupaten Simalungun,secara parsial pelatihan dan kepuasan kerja sama-sama berpengaruh positif dan signifikan terhadap kualitas pelayanan publik pada Dinas Pendapatan Pengelolaan Keuangan dan Aset kabupaten Simalungun, sementara budaya organisasi tidak berpengaruh signifikan terhadap kualitas pelayanan publik pada Dinas Pendapatan Pengelolaan Keuangan dan Aset kabupaten Simalungun

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)0.003
metaresearch head score (Gemma)0.005
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 score0.021
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.004

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 head0.035
GPT teacher head0.261
Teacher spread0.226 · 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
Published2019
Admission routes1
Has abstractyes

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