Pengukuran dan Penilaian Status Gizi Pada Anak Usia Sekolah Di SDN 145 Inpres Bayowa, Kecamatan Galesong Kabupaten Takalar
Bibliographic record
Abstract
Siswa di tingkat sekolah dasar berada dalam tahap tumbuh dan perkembangan yang sangat memerlukan perhatian, terutama terkait dengan status gizi. Asupan gizi yang optimal, terkhusus selama masa sekolah dasar, sangat krusial untuk mendukung kemampuan konsentrasi, daya ingat, dan kemampuan anak dalam mengikuti proses belajar di sekolah. Zat gizi perlu dikonsumsi dalam jumlah yang tepat serta sesuai dengan kebutuhan tubuh sehingga dapat berfungsi dengan baik di dalam tubuh. Kegiatan ini bertujuan untuk menilai status gizi siswa SDN 145 Bongaya dengan menggunakan metode pengukuran antropometri berdasarkan IMT/U dengan jumlah siswa 21 orang. Hasil analisis menjukkan sebanyak 66,67% sisw dengan status gizi baik, kemudian terdapat 23,81% siswa dengan status gizi kurang serta 9,5% dengan status gizi lebih. Dapat di simpulkan mayoritas status gizi siswa berada pada kategori baik. Namun masih ada beberapa siswa yang mengalami masalah gizi, baik pada status gizi kurang maupun gizi lebih. Deteksi dan intervensi dini dapat dijadikan langkah awal dalam pencegahan dampak buruk masalah gizi khusunya terhadap pertumbuhan dan perkembangan anak.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".