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Record W4406189409 · doi:10.61860/jigp.v3i2.32

EVALUASI DAN PENGEMBANGAN PROGRAM REVITALISASI KUA SEBAGAI UPAYA PENINGKATAN KUALITAS LAYANAN MASYARAKAT DI PROVINSI NUSA TENGGARA BARAT

2024· article· id· W4406189409 on OpenAlexaff
Abdul Haris Khoirul Alam

Bibliographic record

VenueJURNAL ILMIAH GEMA PERENCANA · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusinessBusiness administrationPolitical science

Abstract

fetched live from OpenAlex

Policy Paper ini menguraikan bahwa layanan masyarakat pada Kantor Urusan Agama (KUA) merupakan layanan yang banyak mendapatkan koreksi dari masyarakat di Provinsi Nusa Tenggara Barat. Sehubungan dengan hal tersebut, maka layanan KUA akan ditingkatkan dengan menggunakan revitalisasi KUA. Namun pelaksanaan revitalisasi KUA terdapat banyak kendala yang tidak dapat diselesaikan dalam waktu singkat. Adapun tujuan analisa ini adalah untuk melakukan evaluasi dan pengembangan program revitalisasi KUA pada Provinsi Nusa Tenggara Barat. Analisa ini dilakukan dengan menggunakan pendekatan kualitatif, analisis data dilakukan dengan pendekatan deskriptif. Hasil analisa adalah: 1) Program revitalisasi KUA bukan hanya program Bimas Islam tetapi program Kementerian Agama secara komprehensif. 2) Revitalisasi KUA bukan hanya perubahan mindset dan culture set tetapi juga agent of change. 3) Perubahan Utama pada revitalisasi KUA adalah pada perubahan sumber daya manusia. 4) Peningkatan sarana prasarana dilakukan berdasarkan skala prioritas kondisi KUA. 5) Perlu dilakukan perubahan aturan yang linier dengan program revitalisasi KUA khususnya aturan terkait SBSN sehingga dapat bersinergi untuk mempercepat progress revitalisasi KUA. Kesimpulannya bahwa program revitalisasi KUA akan berhasil jika terdapat kerjasama seluruh satuan kerja dalam Kementerian Agama.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0030.002
Scholarly communication0.0040.002
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.033
GPT teacher head0.344
Teacher spread0.310 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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