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All Journal International Journal of Advances in Applied Sciences SUPREMASI: Jurnal Pemikiran, Penelitian Ilmu-Ilmu Sosial, Hukum dan Pengajarannya Journal of Aquatropica Asia OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Nature: National Academic Journal of Architecture Science and Technology Indonesia Al-Ta'dib: Jurnal Kajian Ilmu Kependidikan Jurnal PGSD: Jurnal Ilmiah Pendidikan Guru Sekolah Dasar JURNAL PENDIDIKAN TAMBUSAI JUPE : Jurnal Pendidikan Mandala Jurnal Ilmiah Dinamika Sosial JURMATIS : Jurnal Manajemen Teknologi dan Teknik Industri Jurnal Dedikasi SIGANUS: Journal of Fisheries and Marine Science Industrika : Jurnal Ilmiah Teknik Industri Moestopo International Review on Social, Humanities, and Sciences (MIRSHuS) Jurnal Teknik Elektro eMBeJi : Manajemen dan Bisnis Jurnal Teknologika Makara Journal of Technology Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Journal Industrial Engineering and Management (JUST-ME) ITQAN: Jurnal Ilmu-ilmu Kependidikan Sasana: Jurnal Pendidikan Agama Islam Moneta: Jurnal Manajemen & Keuangan Syariah AL-SULTHANIYAH Jurnal Paramaedutama Nusantara Educational Review Sultan Adam : Jurnal Hukum dan Sosial Journal of Educational Studies
Muhammad Ali Akbar, Muhammad Ali
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Journal : Makara Journal of Technology

 1 
Automatic Arrhythmia Beat Detection: Algorithm, System, and Implementation Jatmiko, Wisnu; Setiawan, I Md. Agus; Akbar, Muhammad Ali; Suryana, Muhammad Eka; Wardhana, Yulistiyan; Rachmadi, Muhammad Febrian
Makara Journal of Technology Vol. 20, No. 2
Publisher : UI Scholars Hub

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Abstract

Cardiac disease is one of the major causes of death in the world. Early diagnose of the symptoms depends on abnormality on heart beat pattern, known as Arrhythmia. A novel fuzzy neuro generalized learning vector quantization for automatic Arrhythmia heart beat classification is proposed. The algorithm is an extension from the GLVQ algorithm that employs a fuzzy logic concept as the discriminant function in order to develop a robust algorithm and improve the classification performance. The algorithm is tested against MIT-BIH arrhythmia database to measure the performance. Based on the experiment result, FN-GLVQ is able to increase the accuracy of GLVQ by a soft margin. As we intend to build a device with automated Arrhythmia detection, FN-GLVQ is then implemented into Field Gate Programmable Array to prototype the system into a real device.
Co-Authors Abidin, Azwar Adi Iswanto Adi Permadi, Adi Agustang, Agustang Alivia, Elsa Tri Allo, Nugra Tasik Aminanda, Yulfian Amri Abdulah Anastasya, Theresia Hany Andi Adam Malik Angelica, Rachel Anidia, Tisna Anisa Rahmawati Ardiansyah Kurniawan Ardiansyah, Rahandi AS, Adnin Azib, Muhammad Bintang Nidia Kusuma Choirul Anwar Dadan Ramdan Danan Farahdinny Siswajanthy fatimah Fatimah Fettyana, Fettyana Frihatni, Andi Ayu H. Idris, Meity Hafsah Hari, Muhammad Akbar Hasnida Herdiansyah, Irwan Hery Widijanto Hidayat, Abdillah Daffa Wahyu Hidayat, AR Hijuzaman, Osep Husni Mubarak Imam Yazid Irwansuri, Zulfan Iskandar, Yoga Isnaini Jatira Junaidin, Junaidin khusnul khotimah Livia, Tarisa Lukman, Dzikry Mahesya, Muhammad Putra Maniar, Jacklyn Preselia Marwati Marwati Miha, Ainun Mirsal, Ilham Misbah, Muh. Muhammad Febrian Rachmadi, Muhammad Febrian Muhammad Rusdi Muthalib, Lian Mulyani Nabella, Fitria Nopiasadi, Muhamad Nugrah Noviyani, Rafiqa Nur Asitah Nurhayati, Aan Nurwulandari, Fiolita Panggabean, Riris S. Putri, Mutiara Wilson Rajab, Dede Ardi Ramadhani, Rachmawati Syahrani Rasimin , Rasimin Reza, Reza Rohman Rohman Rully Andi Yaksa Sahabuddin Sandy, Aisyah Trees Sartina, Karnita Semmaun, Syahriah Septia, Calista Nur Setiawan, I Md. Agus Shahab, Putri Hindun Anifayakun Situmorang, Irvan Relyesh Suhartono, Heru Sujianto Sujianto Sukarman Sukarman Suryana, Muhammad Eka Syahrul Humaidi, Syahrul Tarigan, Kerista uswatun khasana Uswatun Khasana, uswatun khasana Wardhana, Yulistiyan Wisnu Jatmiko Yansuri, Daeny Septi Yulianta Siregar Zakiyah, Husnul Qomrouz Zikra, Andi Anzanul