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Record W4362703769 · doi:10.33024/jkpm.v6i4.8245

Konseling Nutrisi Ibu Hamil menggunakan Model Food dari Media Playdough

2023· article· id· W4362703769 on OpenAlexaff
Nur Fadjri Nilakesuma, Dewi Susilawati, Putri Hadisti Kahirani, Rafilah Fairuz Syifa, Novi Hardianan, Y. Gea

Bibliographic record

VenueJURNAL KREATIVITAS PENGABDIAN KEPADA MASYARAKAT (PKM) · 2023
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsGynecologyMedicinePhysics

Abstract

fetched live from OpenAlex

ABSTRAK Hasil wawancara dengan Pimpinan Klinik Tyiara Bunda yaitu Ibu Yeni Herawati, S.SiT.M.Hkes, didapatkan jumlah ibu hamil yang berkunjung pada bulan Mei 2022 ini sebanyak 34 ibu hamil, dari 34 ibu hamil ini sebanyak 12 orang mengalami anemia. Penyabab ibu hamil yang mengalami anemia karena asupan yang kurang dan tidak mengkonsumsi tablet Fe yang sudah diberikan secara teratur. Selama ini ibu hamil sudah mendapatkan tablet Fe dan mendapat konseling yang diberikan bidan dengan menggunakan buku KIA Meningkatkan pengetahuan ibu hamil tentang nutrisi dan pentingnya konsumsi tablet Fe selama hamil serta adanya model konseling nutrisi dari media playdouhg. Kegiatan ini mengacu pada 4 langkah yaitu perencanaan, tindakan, observasi dan evaluasi, serta refleksi. Responden pengabdian ini adalah ibu hamil dengan jumlah 34 ibu hamil yang dilaksankan pada tanggal 10 dan 24 September 2022 di klinik mutiara bunda. Terciptanya model food konseling nutrisi porsi 1 kali makan dari media playdough, hasil pemeriksaan kadar hemoglobin didapatkan 47% memiliki kadar hemoglobin < 11 gr%, terjadi peningkatan pengetahuan setelah diberikan konseling yaitu dari 44% menjadi 53% dan prilaku diet ibu hamil yang baik menjadi meningkat yaitu dari 38% menjadi 53%. Model food yang telah diciptakan oleh tim pengabdi sangat bermanfaat dalam meningkatan pengatahun ibu dan prilaku diet ibu hamil sehingga nutrisi ibu hamil menjadi terpenuhi sesuai dengan kebutuhan ibu hamil. Kata Kunci: Nutrisi Ibu Hamil, Tablet Fe, Prilaku Diet Ibu Hamil ABSTRACT The results of interviews with the Head of the Tyiara Bunda Clinic, namely Mrs. Yeni Herawati, S.SiT.M.H.kes, it was found that the number of pregnant women who visited in May 2022 was 34 pregnant women, of these 34 pregnant women as many as 12 people experienced anemia. The cause of pregnant women who experience anemia due to insufficient intake and not consuming Fe tablets that have been given regularly. So far, pregnant women have received Fe tablets and received counseling given by midwives using the KIA book.To increase knowledge of pregnant women about nutrition and the importance of consuming Fe tablets during pregnancy and the existence of a nutritional counseling model from the playdough media. This activity refers to 4 steps, namely planning, action, observation and evaluation, and reflection. Respondents for this service were pregnant women with a total of 34 pregnant women who were carried out on September 10 and 24, 2022 at the Mutiara Bunda Clinic. The creation of a nutritional counseling model for 1 meal serving from playdough media, the results of the hemoglobin level examination found that 47% had hemoglobin levels < 11 g%, and there was an increase in knowledge after being given counseling from 44% to 53% and the good diet behavior of pregnant women increased from 38% to 53%. The food model that has been created by the service team is very useful in increasing maternal knowledge and dietary behavior of pregnant women so that the nutrition of pregnant women is fulfilled according to their needs of pregnant women. Keywords: Nutrition of Pregnant Women, Fe Tablets, Dietary Behavior of Pregnant Women

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.003

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 head0.058
GPT teacher head0.305
Teacher spread0.246 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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