Implementasi Algoritma Decision Tree CART untuk Deteksi Dini Penyakit FLUTD pada Kucing
DOI:
https://doi.org/10.29407/anaz0b18Keywords:
Decision Tree, FLUTD, Machine LearningAbstract
Feline Lower Urinary Tract Disease (FLUTD) merupakan penyakit serius yang dapat menyerang saluran kemih kucing dan berpotensi membahayakan jika tidak terdeteksi secara dini. Penelitian ini bertujuan untuk mengembangkan sistem diagnosis FLUTD berbasis Decision Tree dengan mengimplementasikan algoritma CART (Classification and Regression Trees) yang menggunakan Gini index sebagai metode pemisahan node. Sistem diagnosis dikembangkan dalam bentuk aplikasi berbasis website yang memungkinkan pengguna untuk mengunggah data gejala dan memperoleh hasil prediksi secara langsung. Hasil pengujian menunjukkan bahwa sistem mampu mencapai tingkat akurasi sebesar 83.33%, dengan rincian 2 True Positive (TP), 3 True Negative (TN), dan 1 False Positive (FP).
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