Perancangan Model Fuzzy Neural Network Guna Pengembangan Sistem Deteksi Dini Risiko Penyakit Stroke
DOI:
https://doi.org/10.29407/20sp3t52Keywords:
Perancangan Model, Stroke, Fuzzy Neural Network, Logika FuzzyAbstract
Stroke merupakan salah satu penyebab utama kematian dan kecacatan di dunia. Deteksi dini terhadap faktor risiko stroke menjadi langkah penting untuk mengurangi dampak yang ditimbulkan. Namun, proses deteksi dini sering menghadapi kendala berupa ketidakpastian data medis dan kompleksitas hubungan antar faktor risiko. Penelitian ini bertujuan untuk merancang model Fuzzy Neural Network (FNN) yang nantinya akan diimplementasikan pada sistem deteksi dini risiko penyakit stroke. Data yang digunakan berasal dari dataset publik penyakit stroke sebagai acuan perancangan sistem. Metode penelitian yang digunakan adalah perancangan sistem, dengan tahapan meliputi pengumpulan data, preprocessing data, pemodelan fuzzy, penyusunan aturan fuzzy, serta perancangan arsitektur FNN. Hasil penelitian berupa rancangan konseptual sistem pendukung keputusan yang mampu menghasilkan keluaran berupa tingkat risiko stroke. Penelitian ini diharapkan dapat menjadi dasar pengembangan sistem deteksi dini stroke berbasis kecerdasan buatan pada penelitian selanjutnya.
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