Application Biplot Analysis on Mapping of Non-Convertive Diseases in Indonesia

Non-communicable diseases is 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 find out how large the spread non-communicable mapping using biplot analysis. Biplot analysis applied determine proximity information between objects, length change vector, correlation modifiers, and value an object. The study was conducted 33 provinces with twelve diseases. Descriptive averaged highest joint 10.51 followed hypertensive 8.85 Stroke 6.42. While lowest average Heart Failure 0.10 it still open research other methods also need add supporting variables