Open AccessApplication Biplot Analysis on Mapping of Non-Convertive Diseases in Indonesia
Author(s) -
Kris Suryowati,
Maria Titah,
Nurzaidah Nasution
Publication year - 2021
Publication title -
parameter
Language(s) - English
Resource type - Journals
ISSN - 2776-5660
DOI - 10.22487/27765660.2021.v1.i2.15518
Subject(s) - biplot , disease , non communicable disease , medicine , communicable disease , environmental health , pathology , biology , public health , biochemistry , gene , genotype
Non-communicable diseases is diseases that are not caused by germs but rather because of physiological or metabolic problems in human body tissues. Usually, this disease occurs due to unhealthy lifestyle. One way to find out how large the spread of non-communicable diseases is by mapping the disease using biplot analysis. Biplot analysis is applied to determine the proximity information between objects, the length of the change vector, the correlation between modifiers, and the value of the change in an object. The study was conducted in 33 provinces with twelve non-communicable diseases. Descriptive analysis of twelve non-communicable diseases averaged the highest joint disease of 10.51 followed by hypertensive disease 8.85 and Stroke 6.42. While the lowest average disease is Heart Failure disease by 0.10 it is still open to research with other methods and also need to add supporting variables