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Record W3215000661 · doi:10.37695/pkmcsr.v4i0.1229

PEMBERDAYAAN IBU HAMIL UNTUK MENCEGAH ANEMIA DENGAN PENINGKATAN PENGETAHUAN DI WILAYAH KERJA PUSKESMAS SIALANG BUAH

2021· article· id· W3215000661 on OpenAlexaff
Edy Marjuang Purba, Eva Ratna Dewi, Nur Azizah, Marliani Marliani

Bibliographic record

VenueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineAnemiaGynecologyInternal medicine

Abstract

fetched live from OpenAlex

Prevalensi anemia di Puskesmas Sialang Buah tahun 2019 cukup tinggi >35%. Determinan yang dianggap paling penting adalah pengetahuan. Hasil Penelitian tahun 2018 diketahui bahwa lebih dari 50% ibu hamil memiliki pengetahuan kurang tentang anemia dan pencegahannya. Dilakukan pengabdian kepada masyarakat dengan tujuan untuk meningkatkan pengetahuan dan pemahaman ibu hamil tentang anemia dan pencegahannya sehingga memiliki kemandirian terpadu dalam mengatasi dan mencegah anemia. Kegiatan dilaksanakan di Puskesmas Sialang Buah Kabupaten Serdang Bedagai. Pelaksanaan kegiatan berdasarkan hasil kerjasama dari pihak Dinas Kesehatan Kabupaten Serdang Bedagai, Puskesmas Sialang Buah dan STIKes Mitra Husada Medan. Berdasarkan Hasil pretest lebih banyak ibu yang memiliki pengetahuan kurang yaitu sebanyak 25 orang (73,5%). Hasil post test Setelah dilakukan penyuluhan diketahui jumlah ibu yang berpengetahuan baik meningkat menjadi 24 orang (70,6%). Kegiatan ini berjalan lancar dan disambut positif oleh masyarakat. Pengetahuan ibu hami tentang anemia dan pencegahnnya mengalami peningkatan setelah dilakukan kegiatan penyuluhan dan pemberdayaan ibu hamil Disarankan kepada pihak puskesmas, untuk lebih rutin melakukan penyuluhan kesehatan khusunya pencegahan anemia.

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)0.010
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.004
Science and technology studies0.0050.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0030.006
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 head0.074
GPT teacher head0.311
Teacher spread0.237 · 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
Published2021
Admission routes1
Has abstractyes

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Same venueProsiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR)Same topicPublic Health and NutritionFrench-language works237,207