Jurnal Matematika Sains dan Teknologi
Vol. 24 No. 1 (2023)

ANALISIS REGRESI LOGISTIK BINER PADA FAKTOR RESIKO KEJADIAN TUBERKULOSIS

Findasari (Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muhammadiyah)
Ade Ima Afifa Himayati (Matematika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Muhammadiyah)



Article Info

Publish Date
20 May 2023

Abstract

Tuberculosis is the disease with the second highest mortality rate in the world and is ranked first in the most deadly infectious disease. In Indonesia, tuberculosis occurred around 969,000 cases that were found, which is up about 17% from the previous year, which means that there are 354 people out of 100,000 people who have tuberculosis. This study aims to determine the risk factors that can influence the incidence of pulmonary tuberculosis (TB) and find out the risk factors that have a relationship with the incidence of pulmonary tuberculosis. Data analysis in this study was carried out by the binary logistic regression method. The results of the study stated that factors of nutritional status and family history status suffering from tuberculosis had an influence on the incidence of tuberculosis. In addition, risk factors that are related to the incidence of pulmonary tuberculosis are nutritional status, family history status of tuberculosis, and smoking habits, while economic status or income has no influence or association with the incidence of pulmonary tuberculosis.

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Journal Info

Abbrev

JMST

Publisher

Subject

Agriculture, Biological Sciences & Forestry Mathematics Other

Description

Merupakan media informasi dan komunikasi para praktisi, peneliti, dan akademisi yang berkecimpung dan menaruh minat serta perhatian pada pengembangan Matematika, ilmu pengetahuan dan teknologi. Diterbitkan oleh Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas ...