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Record W4248844582 · doi:10.25311/keskom.vol1.iss2.14

Sumber Daya Kesehatan dalam Penyusunan Perencanaan Dinas Kesehatan Kabupaten Padang Pariaman

2011· article· id· W4248844582 on OpenAlexaff
Jasrida Yunita

Bibliographic record

VenueJurnal kesehatan komunitas (Journal of community health) · 2011
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsArt

Abstract

fetched live from OpenAlex

Perencanaan merupakan inti kegiatan manajemen, karena semua kegiatan manajemen diatur dan diarahkan oleh perencanaan tersebut. Kurang sempurnanya usulan perencanaan bisa disebabkan oleh kekurangan dibagian sumber daya seperti kebijakan, tenaga, dana, sarana prasarana, serta data dan informasi. Dalam dua tahun terakhir di Dinas Kesehatan Kabupaten Padang Pariaman terjadi kecenderungan penurunan capaian indikator program kesehatan. Hal ini salah satunya disebabkan oleh kurang sempurnanya perencanaan program dan kegiatan yang direncanakan setiap tahunnya. Tujuan penelitian diketahuinya sumber daya kesehatan dalam penyusunan perencanaan Dinas Kesehatan Kabupaten Padang Pariaman. Metode penelitian menggunakan pendekatan kualitatif dengan teknik wawancara mendalam dengan 12 orang informan. Hasil penelitian menyatakan pelaksanaaan penyusunan perencanaan telah mengikuti kebijakan yang sesuai dengan ketentuan dan perundangan yang berlaku, kualitas tenaga perencana dan data yang masih kurang, sarana dan prasarana yang cukup memadai tapi masih kurang dalam hal pemeliharaan serta dana yang sudah tersedia. Agar perencanaan berkualitas, maka perlu pelatihan tenaga perencana, penempatan tenaga sesuai keahliannya dan membentuk tim khusus dalam pengolahan data.

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)0.018
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0030.003
Science and technology studies0.0040.001
Scholarly communication0.0010.003
Open science0.0040.001
Research integrity0.0010.015
Insufficient payload (model declined to judge)0.0020.000

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 head0.118
GPT teacher head0.349
Teacher spread0.231 · 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".

Quick stats

Citations1
Published2011
Admission routes1
Has abstractyes

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