Stunting Early Warning Application Using KNN Machine Learning Method

Stunting in toddlers is defined as a condition of failure to thrive due chronic malnutrition the long term. The problem stunting Indonesia an issue that still concern for Indonesian government. prevalence quite high, coupled with COVID-19 pandemic which has had impact on economic sector. For this reason, research very important topic. This study aims classify toddler using k-Nearest Neighbor classification algorithm, well build website-based early detection application cases CodeIgniter framework PHP programming language. results Algorithm trial obtained fairly high accuracy 92.45%. implementation system proven help and facilitate health workers classifying stunted or not. also useful archive facilitates data reporting. In there are 8 main menus, namely Puskesmas menu, Posyandu data, weighing, weighing results, development warning menu contains malnourished toddlers, toddlers.