OPTIMALISASI ALGORITHMA K-MEANS MENGGUNAKAN METODE PSO PADA PENYAKIT STUNTING

stunting, optimasi k-means

Abstract

Stunting is a linear growth disorder in newborn babies which is caused by several factors, including LBW factors, low birth weight, mother's education, household income, and so on. So clustering is needed in this case to identify stunting with mild, severe or moderate clusters. In this study, researchers used the k-means algorithm to carry out clustering. So the results obtained were 41 heavy clusters, 109 medium clusters, while 50 light clusters. In order to find out the level of accuracy in the k-means algorithm optimized with PSO, from the results of trials conducted by researchers to optimize PSO k-means, PSO was proven to be able to increase the accuracy value of standard k-means with an accuracy value of 78.88%