Garuda Documents : IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS

TitleIMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS
Author Order5 of 6
Accreditation4
AbstractThere are three types of Tuberculosis (TB) patients at Banyumas Region Hospital, namely negative pulmonary TB, positive pulmonary TB, and extra pulmonary TB. Types of TB generally caused by age, cae of history, gender, level of education, and domicile. One of the methods that used to find a correlation between types of TB with the affect is regression analysis. This study used multinomial logistic regession analysis because types of TB is categorical and the data is 156 TB’s patients recorded at 2018/2019. The result showed that the level of education be a dominant factor to affect TB. Here, we noted that patients with basic education level have a 5,843 time odds for getting positive pulmonary TB and 2,224 times for getting extra pulmonary TB. The multinomial logistic regression model is then given as probability for getting positive pulmonary TB with factor level of education is greather than negative pulmonary TB and extra pulmonary TB.
Publisher NameJurusan Matematika FMIPA Universitas Jenderal Soedirman
Publish Date2021-07-28
Publish Year2021
DoiDOI: 10.20884/1.jmp.2021.13.1.3612
Citation
SourceJurnal Ilmiah Matematika dan Pendidikan Matematika
Source IssueVol 13 No 1 (2021): Jurnal Ilmiah Matematika dan Pendidikan Matematika
Source Page27-38
Urlhttp://jos.unsoed.ac.id/index.php/jmp/article/view/3612/2523
AuthorDra AGUSTINI TRIPENA BR SURBAKTI, M.Si
File2141112.pdf