Keywords
nutritional status, Naïve Bayes Classifier, data mining
How to Cite
Zubair, A., & Muksin, M. (2018). PENERAPAN METODE NAIVE BAYES UNTUK KLASIFIKASI STATUS GIZI (STUDI KASUS DI KLINIK BROMO MALANG). Seminar Nasional Sistem Informasi (SENASIF), 2(1), 1204-1208. Retrieved from https://jurnalfti.unmer.ac.id/index.php/senasif/article/view/183
Abstract
Nutrition status is important for the health of each person. By knowing the
nutritional status a person can adjust his diet so as to achieve the ideal
nutritional status. This study uses data mining to make a classification based on
five types of nutritional status. The classification method used is the Naive Bayes
Classifier. The results are then tested for accuracy. In this study produced 98
percent as the best accuracy.