Fragile ( Fast Response Arrhytmia IoT Detector ) Sebagai Deteksi Atrial Fibrialis

• Main Author: Faiqotul Azizah, -
• Format: Theses and Dissertations NonPeerReviewed
• Language: Indonesian; Indonesian; Indonesian; Indonesian; Indonesian; Indonesian; Indonesian; Indonesian; Indonesian; Indonesian; Indonesian
• Published: 2021
• Subjects: TJ1 Mechanical engineering and machinery; TJ241-254.7 Machine construction (General)
• Online Access: http://repository.unair.ac.id/109522/1/1.%20Cover.pdf; http://repository.unair.ac.id/109522/3/2.%20Lembar%20Pengesahan.pdf; http://repository.unair.ac.id/109522/2/3.%20Daftar%20Isi.pdf; http://repository.unair.ac.id/109522/4/4.%20Bab%20I.pdf; http://repository.unair.ac.id/109522/5/5.%20Bab%20II.pdf; http://repository.unair.ac.id/109522/6/6.%20Bab%20III.pdf; http://repository.unair.ac.id/109522/7/7.%20Bab%20IV.pdf; http://repository.unair.ac.id/109522/8/8.%20Bab%20V.pdf; http://repository.unair.ac.id/109522/9/9.%20Daftar%20Pustaka.pdf; http://repository.unair.ac.id/109522/11/10.%20Lampiran.pdf; http://repository.unair.ac.id/109522/10/Embargo%20-%20bayu%20ramadhan.pdf; http://repository.unair.ac.id/109522/; http://lib.unair.ac.id
• Institution: Universitas Airlangga

Sistem FRAGILE mampu deteksi atrial fibrialis berbasis IoT dengan metode sistem pakar decision tree dengan potensi akurasi, presisi, sensitivitas, dan spesifisitas masing-masing sebesar 81% , 80% , 85%, dan 76%.