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All Journal ComEngApp : Computer Engineering and Applications Journal SEJ (Science Education Journal) JOURNAL OF CIVIL ENGINEERING, BUILDING AND TRANSPORTATION Majalah Farmasi dan Farmakologi (Trends in Pharmacy and Pharmaceutical Sciences) PENDIPA Journal of Science Education JURNAL ILMIAH PETERNAKAN TERPADU JKPD : Jurnal Kajian Pendidikan Dasar Aulad : Journal on Early Childhood Jurnal Kesehatan Al-Irsyad Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Journal of Empowerment Community Jurnal Inovasi Pembelajaran Kimia (Journal Of Innovation in Chemistry Education) INTELEKTIVA GANESHA: Jurnal Pengabdian Masyarakat Sungkai DIKSAINS : Jurnal Ilmiah Pendidikan Sains Utsaha: Journal of Entrepreneurship Journal of Trends Economics and Accounting Research JURNAL PERMADI: PERANCANGAN, MANUFAKTUR, MATERIAL DAN ENERGI Journal Indonesia Law and Policy Review (JILPR) PERTANIAN TROPIK Journal of Educational Sciences Jurnal Energi dan Inovasi Teknologi Jurnal Ilmiah Pengabdian dan Inovasi Jurnal Ilmiah Manajemen dan Kewirausahaan MANKEU (JURNAL MANAJEMEN KEUANGAN) Simangunsong Journal of Business Administration, Management, Economic and Accounting JEBD Jurnal Keadilan Pemilu Jurnal As-Syar’i: Jurnal Bimbingan & Konseling Keluarga SURAKARTA ABDIMAS JOURNAL PENG: Jurnal Ekonomi dan Manajemen Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Jurnal Ekonomi Manajemen Dan Bisnis (JEMB) Jurnal Mahasiswa Informatika dan Desain (JURMASIN) Jurnal Pendidikan IPA Indonesia Verdict: Journal of Law Science LIMEEMAS: Jurnal Ilmiah Pendidikan KOMPUTASI Symbiohealth Jurnal Ekonomi dan Manajemen ( JEMBATAN) Jurnal Ekonomi dan Manajemen (JEMBATAN)
Sutarno
Universitas Tunas Pembangunan Surakarta
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Journal : ComEngApp : Computer Engineering and Applications Journal

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Inter Patient Atrial Fibrillation Classification Using One Dimensional Convolution Neural Network Rifai, Ahmad; Rachmatullah, Muhammad Naufal; Sutarno; Tutuko, Bambang
Computer Engineering and Applications Journal (ComEngApp) Vol. 11 No. 1 (2022)
Publisher : Universitas Sriwijaya

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Abstract

Atrial fibrillation is the most common type of arrhythmia. The process of detecting AF disease is quite difficult. This is because it is necessary to detect the presence or absence of a P signal wave in the ECG signal. However, this method requires special expertise from a cardiologist. Several literatures have proposed an automatic ECG classification system. However, the intra-patient paradigm does not simulate real-world scenarios. One of the challenges in the inter-patient paradigm is the morphological differences between one subject and another. In order to overcome the problems that arise in the automatic classification of ECG signal patterns a deep learning approach was proposed. This study proposes the classification process of atrial fibrillation in the inter-patient paradigm using a one-dimensional convolutional neural network architecture. The test is divided into two cases: two labels (Normal and AF) and three labels (Normal, AF and Non-AF). In the case of two test labels with an inter-patient scheme, the performance was 100% for all test metrics (accuracy, sensitivity, precision, and F1-Score). However, in the three-label case, the model's performance decreased to 85.95, 70.02, 72.50, 71.19 for accuracy, sensitivity, precision and F1-Score, respectively.
Design Concept of Convexity Defect Method on Hand Gestures as Password Door Lock Passarella, Rossi; Fadli, Muhammad; Sutarno
Computer Engineering and Applications Journal (ComEngApp) Vol. 2 No. 3 (2013)
Publisher : Universitas Sriwijaya

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Abstract

In this paper we purpose a several steps to implement security for locking door by using hand gestures as password. The methods considered as preprocessing image, skin detection and Convexity Defection. The main components of the system are Camera, Personal Computer (PC), Microcontroller and Motor (Lock). Bluetooth communication are applied to communicate between PC and microcontroller to open and lock door used commands character such as “O” and “C”. The results of this system show that the hand gestures can be measured, identified and quantified consistently.
Co-Authors Abdurahman Adriano Afif Zona Tori Agung Prasetyo Agus Yuda Hernoko Ahmad Fathoni Ahmad Rifai Ahmad Zarkasi Aldia, Dita Alvis Andika Persada Putera Andika, Rully Arwin Arwin Arwin Asih Handayani Asmuni Athalaza, Muhammad Nawar Bambang Ariyanto Bambang Tutuko BHAKTI KARYADI Bhanes Ado Fata Muri Damas Ivan Ola Defianti, Aprina Deni Parlindungan Dewi Anggraini Dewi Puspitorini Husodo Dian Ratih Laksmitawati Dian Saraswati Diena Rakhmani Dila Syamsiah, Nurani Dwi Retno Lukiwati Ekaputri, Rendi Zulni Eny Fuskhah ERNI WIDAJANTI Eva Novi Triana Fais Nurul Hadi Firdausi Firdausi, Firdausi Francisca Audry Kournikova Ghina Febrianti Hadi Purnawan Satria Harjana Hartanto, Lius HARTOYO, EKO Henny Johan Hesti Nurhasanah Ida Lestari IMAM SUGKAWA Indra Sakti Indri Hapsari Indri Wahyuni Juwono, Fahmi Lukman, Saepul M. Imron Rosyadi M. Khoirul Huda Mahananto Mariana, Neneng Mastur Meti Indrowati Michael Moch Malik Firdaus Muhamad Agus N Muhammad Fadli Muhammad Naufal Rachmatullah muhammad soleh muhammad soleh Muhammmad Fadli Gunawan Muryan Awaludin Ninis Nugraheni Nirwana Noval Rizky Akbar Nugrah Rekto Prabowo Nur Hidayati, Iis Nurfadilah Satiyani Nursaadah, Euis Onassis, Sherla Parlindungan, Deni Pramono Pratiwi, Dita Eriyanti Primanita, Anggina Puji Lestari, Evi Purnamo B Purwo Subekti PUTRI PATRICIA, ADINDA Putuwijayanti, Retno Qurrota Ayunin Diananda Raden Mas Syauqi Annuri Sam Kusuma Patria Raden Mohamad Herdian Bhakti Ramadaniati, Hesty Utami Rascal Indrastoto Rendy Josua Titirloloby Rendy Wikrama Wardana Resi, Damasus Nosi Restu Susanto, Arga Rizal Alaika R ROCHANI NANI RAHAYU Romario Wahyudi Ronggo Waskito, Jefri Rossi Passarella Sabana Putri, Safira Safitri, Leni Sagita, Fitria Saila Al Fiqhiyyah, Taswa Sanjaya, Felix Satria, Alpahmi Aji SENSUSIYATI Shahwatul Islami Lestaluhu Suhadi Sulistyo Saputro Sumaryanto Sunarso SUPRAYITNO SURYANTI Syafril Alfian Akbar Talitha Zhafira Tatang Tajudin Teguh Supriyadi Uliyandari, Mellyta Umi Latifah, Vina UTAMA, TASIK Wahyuningsih, Putriana Warso Widjajanto,, Didik Wisnu Wikrama Wardana, Rendy Windy Fathikah Yolanda