Yuliajanah, Erla Ratih (2018) Faktor-faktor yang Mempengaruhi Status Penderita TB Paru Menggunakan Metode Regresi Logistik Biner. Diploma thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Kejadian Tuberculosis (TB) terus menerus meningkat dan menjadi masalah global karena penyakit TB merupakan penyakit yang menyebabkan kematian. Salah satu penyebab penyakit ini menjadi penyebab kematian adalah karena kurangnya kesadaran masyarakat dalam melakukan pemeriksaan. Namun, mengenali TB secara dini tidaklah mudah. Gejala-gejala yang timbul seringkali sama seperti gejala-gejala penyakit lain yaitu seperti batuk darah disertai dahak, sesak nafas, nafsu makan menurun, berat badan menurun, malaise, berkeringat malam hari tanpa kegiatan fisik, demam lebih dari 1 bulan. Bakteri TB paling sering menyerang paru-paru. TB paru merupakan TB yang menyerang jaringan paru, tidak termasuk pleura atau selaput paru. Penyakit TB paru banyak dipengaruhi oleh berbagai macam faktor. Maka dari itu dilakukan penelitian untuk menentukan faktor-faktor yang mempengaruhi penyakit TB paru agar masyarakat dapat menghindari faktor-faktor yang dapat beresiko terjadinya TB paru dengan menggunakan metode regresi logistik biner. Hasil analisis menunjukkan bahwa variabel status pekerjaan dan lama merokok berpengaruh signifikan (α=5%) terhadap status penderita TB paru dengan persentase ketepatan klasifikasi sebesar 76,7%.
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The incidence of Tuberculosis (TB) continues to increase and becomes a global problem because TB is a disease that causes death. One cause TB become the cause of death to lack of public awareness in conducting the examination. However, recognizing TB early is not easy. The symptoms are often the same as other diseases such as bleeding cough with sputum, out of breath, decreased appetite, decreased weight, malaise, night sweats without physical activity, fever more than 1 month. TB bacteria most commonly affects the lungs. Pulmonary TB is a tuberculosis that attacks lung tissue, not including the pleura or lung membrane. Pulmonary TB disease is influenced by many factors. Therefore research conducted to determine the factors that influence lung cancer so that people can avoid the factors that can be at risk of pulmonary TB by using binary logistic regression method. The result of the analysis showed that the variable of occupation status and duration of smoking significantly (α=5%) on the status of patients with pulmonary TB with the percentage of classification accuracy of 76,7%.
| Item Type: | Thesis (Diploma) |
|---|---|
| Uncontrolled Keywords: | Bakteri TB, Penderita, Regresi Logistik Biner, TB Paru. |
| Subjects: | Q Science Q Science > QA Mathematics Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression R Medicine > R Medicine (General) R Medicine > RA Public aspects of medicine R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
| Divisions: | Faculty of Vocational > 49501-Business Statistics |
| Depositing User: | Erla Ratih Yuliajanah |
| Date Deposited: | 05 Aug 2021 21:55 |
| Last Modified: | 05 Aug 2021 21:55 |
| URI: | http://repository.its.ac.id/id/eprint/58592 |
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