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Record W3030309174 · doi:10.48144/jiks.v10i2.75

Hubungan Pelaksanaan Pencatatan Dengan Hasil Pencatatan Kohort Ibu

2017· article· id· W3030309174 on OpenAlexaff
Emi Nurlaela, Wahyu Ersila, Nur Intan Kusuma

Bibliographic record

VenueJurnal Ilmiah Kesehatan · 2017
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Pencapaian program KIA dapat dilihat dari Laporan Pemantauan Wilayah Setempat (PWS) KIA yang pencatatannya dilakukan perbulan. Laporan pencatatan bulanan ini merupakan hal yang sangat penting, karena hasil laporan ini dapat dijadikan tolok ukur dalam menilai pengendalian masalah kesehatan di seluruh wilayah kabupaten atau kota. Pencatatan kesehatan ibu dan anak dilakukan di buku KIA atau buku kesehatan ibu dan anak, kohort ibu dan pencatatan lainnya. Pencatatan kohort ibu merupakan pencatatan kondisi kesehatan ibu dari sejak hamil sampai melahirkan dan bayinya. Tujuan penelitian ini adalah untuk mengetahui hubungan pelaksanaan pencatatan dengan hasil pencatatan kohort ibu di wilayah puskesmas kabupaten Pekalongan. Jenis penelitian ini diskriptif analitik dengan pendekatan Cross sectional. Populasi pada penelitian ini adalah bidan di puskesmas kabupaten pekalongan, jumlah sampel 62 bidan dengan teknik pengambilan menggunakan cluster random sampling. Teknik pengumpulan data menggunakan kuesioner untuk mengetahui pelaksanaan dan Cheklist untuk megetahui hasil pencatatan kohort. Analisa data menggunakan chi square untuk mengetahui hubungan 2 variabel penelitian. Hasil penelitian menunjukkan bahwa tidak terdapat hubungan antara pelaksanaan pencatatan dengan hasil pencatatan kohort ibu di puskesmas kabupaten Pekalongan dengan nilai p 0,792 (p>0,05). Saran hendaknya puskesmas melakukan monitoring dan evaluasi secara berkala terhadap kohort yang di laporkan oleh bidan, sehingga bidan dapat melaksanakan pencatatan kohort dengan baik.

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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0050.001
Scholarly communication0.0020.003
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.004

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 head0.046
GPT teacher head0.358
Teacher spread0.311 · 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

Citations2
Published2017
Admission routes1
Has abstractyes

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