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Record W4313187053 · doi:10.31314/zijk.v9i1.1113

EFEKTIVITAS HOME VISIT TERHADAP PERUBAHAN PENGETAHUAN SIKAP DAN PERILAKU PADA PENDERITA TB PARU DIWILAYAH KERJA PUSKESMAS TELAGA BIRU

2021· article· id· W4313187053 on OpenAlexaff
Andi Nuraina Sudirman, Dewi Modjo

Bibliographic record

VenueZaitun (Jurnal Ilmu Kesehatan) · 2021
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Tuberkulosis (TB) adalah penyakit menular yang disebabkan oleh basil mycobacterium tuberculosis yang merupakan salah satu penyakit saluran pernafasan yang dapat menyerang paru-paru dan bisa menyebar ke setiap bagian tubuh. Penelitian ini bertujuan untuk menganalisis Efektivitas Home Visit Terhadap Perubahan Pengetahuan Sikap Dan Perilaku Pada Penderita TB Paru Di Wilayah Kerja Puskesmas Telaga Biru.Desain Penelitian ini menggunakan Quasy Eksperimen dengan bentuk one group pretest-posttes.Responden sebanyak 24 orang. Hasil penelitian ini menunjukan adanya perubahan pada tingkat pengetahuan sikap dan perilaku sebelum dan sesudah dilakukannya Home Visit dimanadari ketiga variabel yang di uji menggunakan Uji Paired Sample T-Test didapatkan Pengetahuan dengan nilai P=.005 Sikap dengan nilai P=.031 dan perilaku dengan nilai P=.000. Disimpulkan terdapat pengaruh yang signifikan terhadap penerapan Home Visit pada penderita TB Paru.Penelitian ini diharapkan dapat bermanfaat membantu masyarakat dalam menangani penyakit TB paru.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0180.001

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 head0.029
GPT teacher head0.287
Teacher spread0.258 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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