PERANCANGAN MODEL CONVOLUTIONAL NEURAL NETWORK 1-DIMENSI UNTUK MENINGKATKAN KINERJA KLASIFIKASI ATRIAL FIBRILLATION

ESAFRI, RIA and Nurmaini, Siti (2021) PERANCANGAN MODEL CONVOLUTIONAL NEURAL NETWORK 1-DIMENSI UNTUK MENINGKATKAN KINERJA KLASIFIKASI ATRIAL FIBRILLATION. Undergraduate thesis, Sriwijaya University.

	Text RAMA_56201_09011181722016.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (6MB) | Request a copy
	Text RAMA_56201_09011181722016_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (7MB) | Request a copy
Preview	Text RAMA_56201_09011181722016_0002085908_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (670kB) | Preview
	Text RAMA_56201_09011181722016_0002085908_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (382kB) | Request a copy
	Text RAMA_56201_09011181722016_0002085908_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_56201_09011181722016_0002085908_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_56201_09011181722016_0002085908_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (14kB) | Request a copy
	Text RAMA_56201_09011181722016_0002085908_06_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (77kB) | Request a copy
	Text RAMA_56201_09011181722016_0002085908_07_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (414kB) | Request a copy

Abstract

Atrial Fibrillation (AF) adalah salah satu jenis aritmia yang dapat menyebabkan terjadinya stroke dan gagal jantung jika tidak segera diatasi. Ciri umum dari penyakit AF yaitu tidak adanya gelombang P pada sinyal EKG dan interval RR yang tidak beraturan. Penelitian ini menyajikan klasifikasi AF menggunakan metode Convolutional Neural Network 1-Dimensi (CNN 1-Dimensi). Langkah pertama, dilakukan persiapan data yang digunakan yaitu AF Challange 2017, China Challenge 2018, MIT-BIH Atrial Fibrillation, Dataset dari Chapman University and Shaoxing Zhejiang. Kemudian dilanjutkan dengan pra-pemrosesan data dengan menggunakan Discrete Wavelete Transform (DWT), normalisasi sinyal, dan segmentasi sinyal. serta diakhiri dengan proses klasifikasi menggunakan arsitektur CNN 1-Dimensi. Hasil terbaik didapatkan dengan menggunakan pembagian data K-Fold Cross-Validation, pada klasifikasi 2 kelas (normal dan AF) didapat akurasi 99,80%, sensitivitas 99,70%, spesifikasi 99,67%, presisi 99,61%, f1 score 99,65% dan error 0,19%. Sedangkan, pada klasifikasi 3 kelas (normal, AF, dan Non-AF) didapat akurasi 96,54%, sensitivitas 94,14%, spesifikasi 97,34%, presisi 94,05%, f1 score 94,09% dan error 3,45%.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Atrial Fibrillation, 1-Dimensional Convolutional Neural Network
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 56201-Computer Systems (S1)
Depositing User:	Ria Esafri
Date Deposited:	09 Jul 2021 07:48
Last Modified:	09 Jul 2021 07:48
URI:	http://repository.unsri.ac.id/id/eprint/49549

Actions (login required)

View Item