Faktor-Faktor Yang Berhubungan Dengan Kejadian Penyakit Tuberkulosis (TB) Paru di Wilayah Kerja Puskesmas Serang Kota Tahun 2019
Bibliographic record
Abstract
Latar Belakang: Tuberkulosis Paru di wilayah kerja Puskesmas Serang Kota merupakan kasus tertinggi pada tahun 2018. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan kejadian penyakit TB Paru di Wilayah Kerja Puskesmas Serang Kota tahun 2019. Metode: Desain penelitian yang digunakan adalah case control. Populasi penelitian ini sebagai kasus adalah pasien TB Paru dan populasi kontrol adalah orang yang bukan penderita TB Paru di Wilayah Kerja Puskesmas. Sampel pada penelitian ini berjumlah 74 responden terdiri dari 37 kasus dan 37 kontrol. Instrumen yang digunakan adalah kuesioner, lembar observasi, meteran dan thermometer. Data dianalisis secara univariat dan bivariat dengan uji chi square. Hasil: Hasil penelitian didapatkan bahwa ada hubungan yang signifikan antara kepadatan hunian (Pv=0,018 dan OR=4,364), dan riwayat kontak serumah (Pv=0,011) dengan kejadian TB Paru, sedangkan tidak ada hubungan antara jenis lantai (Pv=0,115), suhu (Pv=0,778), dan kebiasaan merokok (Pv=0,416) dengan kejadian TB Paru. Kesimpulan: disarankan bagi masyarakat lebih meningkatkan perilaku hidup bersih dan sehat untuk mencegah penyakit TB Paru. Bagi petugas kesehatan perlu ditingkatkan upaya penjaringan penemuan suspek maupun skrining TB. Kata kunci: Tuberkulosis Paru, Kepadatan Hunian, Riwayat Kontak The Factors Associated With The Incidence Of Pulmonary Tuberculosis In The Working Area Of Serang City Health Center 2019 Background: Pulmonary tuberculosis in Serang City Public Health Center was the highest case in 2018. This study aims to determine the factors associated with the incidence of pulmonary TB in the working area of Serang City Public Health Center in 2019. Method: This study used a case control design. The study population as a case is a pulmonary TB patient and the control population is a person who is not a sufferer of pulmonary TB in the working area of Public Health Center. The sample in this study amounted to 74 respondents consisting of 37 cases and 37 controls. The instruments used were questionnaire, observation sheet, roll meter and thermometer. Data were analyzed univariable and bivariable with chi square test. Result: The results showed that there was a significant relationship between occupancy density (P=0,018 and OR=4,364), and home contact history (P=0,011) and pulmonary TB events, whereas there was no relationship between floor type (P=0,115), temperature (P=0,778), and smoking habits (P=0,416) with pulmonary TB events. Conclusion: The advice given to the community further enhances clean and healthy living behavior to prevent pulmonary TB disease. Health workers need to be increased efforts to screen suspicion discovery and TB screening. Keywords: Pulmonary tuberculosis, Occupancy Density, Contact History
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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.
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".