Performance of TB health center service officers based on compensation effect, supervision and competence using machine learning technique

Abstract

Tuberculosis as a major health problem in Indonesia, need to evaluate the procedure to solved and increase the solution. The objectives of the research were to discover the correlation of performance of TB Health center service based on compensation effect, supervision and competence. The population consisted of 78 correspondence were taken as the sample through cluster random sampling technique. The study aims to the identification and evaluates the officer competence, supervision, and compensation of TB problem in the Medan Area, by using Machine learning technique to test the correspondence. The results of the research concluded, there was a significantly positive correlation between compensation effect, supervision and the competence with the performance of TB Health Center officers.