Jurnal Informatika Upgris
Vol 5, No 2: Desember (2019)

PENERAPAN METODE NAÏVE BAYES DALAM PEMERIKSAAN KESEHATAN

Nurtriana Hidayati (Unknown)
Victor Gayuh Utomo (Unknown)
nur wakhidah (Unknown)



Article Info

Publish Date
16 Dec 2019

Abstract

Maintaining the safety and health of its workers by conducting daily health checks. The medical examination is carried out by a doctor or nurse at work. Workers who were declared unhealthy were not allowed to work on that day, in several cities, so that inspection standards were maintained, a web-based system was implemented that implemented a rule-based expert system. Naive Bayes algorithm which is included as an algorithm for classification based on data mining and machine learning activities. The initial process of Naive Bayes begins by studying existing data (complete with labels) through the training process. The results of this training are actually the probability of an outcome based on the variables used. Naive Bayes was chosen because it can study the results of past examinations and use them to make the next decision. This is felt to be a solution to the problems of previous system deficiencies that require the experience and expertise of health workers who are not necessarily equal.

Copyrights © 2019






Journal Info

Abbrev

JIU

Publisher

Subject

Computer Science & IT

Description

Journal of Informatics UPGRIS published since June 2015 with frequency 2 (two) times a year, ie in June and December. The editors receive scientific writings from lecturers, teachers and educational observers about the results of research, scientific studies and analysis and problem solving closely ...