SISTEM DETEKSI STUNTING BALITA

Wicaksono, Yoga Firnanda (2026) SISTEM DETEKSI STUNTING BALITA. Undergraduate thesis, Universitas Nusantara PGRI Kediri.

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Abstract

Stunting merupakan masalah gizi kronis pada balita yang dapat memengaruhi pertumbuhan fisik, perkembangan kognitif, dan kualitas sumber daya manusia di masa depan. Proses deteksi stunting di Posyandu Kamboja Desa Kwaron masih dilakukan secara manual sehingga rentan terhadap kesalahan pencatatan dan keterlambatan analisis data. Penelitian ini bertujuan untuk membangun sistem deteksi stunting balita otomatis menggunakan algoritma Iterative Dichotomiser 3 (ID3) berbasis Decision Tree. Dataset yang digunakan berjumlah 223 data balita dengan atribut jenis kelamin, umur, tinggi badan, berat badan, lingkar kepala, dan Lingkar Lengan Atas (LiLa). Tahapan penelitian meliputi preprocessing data, pembagian data dengan rasio 80:20, proses pelatihan model, serta evaluasi menggunakan confusion matrix. Hasil pengujian menunjukkan bahwa model mampu mengklasifikasikan status stunting ke dalam kategori normal, pendek, sangat pendek, dan tinggi dengan tingkat akurasi sebesar 73,33%. Sistem yang dibangun diharapkan dapat membantu kader posyandu dalam melakukan deteksi stunting secara lebih cepat, terstruktur, dan akurat.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Decision Tree, ID3, Klasifikasi, Machine Learning, Stunting
Subjects: 410 Engineering science > 459 Computer science
410 Engineering science > 462 Information technology
410 Engineering science > 463 Software engineering
Divisions: Fakultas Teknik dan Ilmu Komputer > S1-Teknik Informatika
Depositing User: Yoga Firnanda Wicaksono
Last Modified: 02 Aug 2026 13:03
URI: http://repository.unpkediri.ac.id/id/eprint/24980

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