Pendampingan Penyajian dan Pengolahan Data Demografi Kesehatan Penduduk Aparat Desa Negeri Hutumuri Kecamatan Leitimur Selatan Kota Ambon
Bibliographic record
Abstract
ABSTRAK Negeri Hutumuri merupakan desa terpadat di wilayah Kecamatan Leitimur Selatan Kota Ambon dengan jumlah penduduk mencapai 4.657 jiwa serta kepadatan penduduk sebesar 310 jiwa setiap km2. Keberadaan profil status jumlah penduduk yang lebih besar memungkinkan peluang munculnya berbagai persoalan kependudukan khususnya kesehatan penduduk apabila tidak dikelola dengan baik. Tujuan dari program Pengabdian Kepada Masyarakat ini adalah untuk meningkatkan pengetahuan aparat desa sebagai ujung tombak pembangunan desa terkait penyajian dan pengolahan data demografi kesehatan penduduk. Metode pelaksanaan kegiatannya meliputi pelatihan dan pendampingan tentang analisis statistik data demografi kesehatan penduduk yang meliputi pengukuran dasar data demografi kependudukan desa. Hasil dari pelaksanaan kegiatan ini, dapat menunjang pemahaman, menambah pengetahuan dan pengembangan softskill aparat desa dalam mengelola statistik demografi kesehatan penduduk yang berdampak pada peningkatan kualitas pengelolaan dan penataan data kependudukan yang dapat digunakan untuk pembangunan dan mempermudah pelayanan terhadap masyarakat desa. Kata Kunci: Demografi Kesehatan Penduduk, Penyajian dan Pengolahan Data, Softskill Aparat Desa ABSTRACT Negeri Hutumuri is the most populous village in the South Leitimur Subdistrict, Ambon City, with a population of 4,657 people and a population density of 310 people per km2. The existence of a larger population status profile allows opportunities for various population problems to arise, especially population health if it is not managed properly. The purpose of this Community Service program is to increase the knowledge of village officials as the spearhead of village development related to the presentation and processing of population health demographic data. The method of implementing its activities includes training and assistance on a statistical analysis of population health demographic data which includes basic measurement of village population demographic data. The results of the implementation of this activity can support understanding, increase knowledge and develop soft skills of village officials in managing demographic health statistics of the population which have an impact on improving the quality of management and structuring of population data that can be used for development and facilitating services to village communities. Keywords: Population Health Demographics, Data Presentation, and Processing, Soft Skills for Village Officials.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
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".