IMPLEMENTASI ALGORITMA K-NEAREST NEIGHBOR BERBASIS WEB UNTUK KLASIFIKASI RISIKO STUNTING PADA ANAK BALITA DI POSYANDU DURIAN PONDOK CABE UDIK
Abstract
Abstrak
Stunting pada anak balita merupakan salah satu isu penting dalam dunia kesehatan yang ditandai dengan berat dan tinggi badan yang tidak seimbang dengan usia anak. Masalah ini umumnya disebabkan oleh pola makan yang kurang tepat serta asupan nutrisi yang tidak sesuai dengan kebutuhan tubuh. Upaya pencegahan stunting biasanya dilakukan melalui pemantauan status gizi dan pertumbuhan anak secara rutin di posyandu setiap bulannya. Penelitian ini menimplementasi Algoritman K-nears Neigbor (K-NN) berbasis web untuk melakukan klasifikasi resiko stunting pada posyandu Durian, Pondok Cabe Udik. Algoritma K-NN berkerja dengan mengelompokan daya berdasarkan jarak terdekat menggunakan rumus Eulidean Distance. Parameter yang digunakan dalam klasifikasi ini meliputi data antropometrik yaitu umur,berat badan, tinggi badan anak. Proses klasifikasi dilakukan melalui perhitungan manual untuk menentukan perikat resiko, kemudian hasilnya di implementasikan ke dalam aplikasi berbasis Web
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