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Record W4292588942 · doi:10.26714/jpmk.v2i2.5945

PENDIDIKAN GIZI UNTUK PENCEGAHAN KEK PADA IBU HAMIL DIWILAYAH KERJA PUSKESMAS KARANG PULE KECAMATAN SEKARBELA KOTA MATARAM PROPINSI NUSA TENGGARA BARAT

2020· article· id· W4292588942 on OpenAlexaff
Cahaya Indah Lestari, Sitimardiyah Sitimardiyah, Catur Esty Pamungkas, Baiq Masdariah

Bibliographic record

VenueJurnal Pengabdian Masyarakat Kebidanan · 2020
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsGynecologyMedicine

Abstract

fetched live from OpenAlex

Kematian ibu di Indonesia masih didominasi oleh tiga penyebab utama kematian, yaitu perdarahan (30.3%), hipertensi dalam kehamilan (27.1%), dan infeksi (7.3%) (Kemenkes RI, 2014). Prevalensi ibu hamil yang mengalami KEK di Indonesia sebesar 23.4% (Kemenkes, 2013), sedangkan di Provinsi NTB sebesar 26,7%. Berdasarkan data Dinas Kesehatan Kota Mataram (2016), rata-rata prevalensi ibu hamil KEKdi Kota Mataram yaitu 6.09% mengalami peningkatan menjadi 13.3% pada tahun 2017. Pada ibu, KEK meningkatkan terjadi kematian dan peningkatan angka kesakitan seperti anemia, pendarahan pasca melahirkan. Tujuan pengabdian ini untuk pencegahan KEK pada ibu hamil di Wilayah Kerja Puskesmas Karang Pule. Metode pengabdian ini menggunakan metode penyuluhan gizi terhadap ibu hamil di wilayah kerja Puskesmas Karang Pule yang berjumlah 20 orang. Adapun mitra dalam kegiatan ini yaitu bidan desa, kader dan tokoh masyarakat. Kegiatan ini dilakukan dalam tiga tahap. Tahap pertama yakni pemaparan, tahap kedua yakni pengukuran TB dan BB dan tahap ketiga yakni tanya jawab. Hasil pengabdian ini disambut sangat antusias, ibu hamil melontarkan beberapa pertanyaan terkait gizi ibu hamil, isi piringku dan status gizi ibu hamil. Sebagian besar ibu hamil paham dengan penyuluhan yang diberikan. Kesimpulan pengabdian ini pendidikan gizi dapat meningkatkan pengetahuan untuk pencegahan KEK pada ibu hamil.

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)0.002
metaresearch head score (Gemma)0.002
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), Research integrity, 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 score0.161
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0020.005

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 head0.269
Teacher spread0.236 · 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
Published2020
Admission routes1
Has abstractyes

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