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All Journal Buletin Peternakan Media Ekonomi dan Manajemen Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Jurnal Peternakan Indonesia Livestock and Animal Research SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Informatika Universitas Pamulang Jurnal Teknoinfo Jurnal Teknologi Sistem Informasi dan Aplikasi Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Journal of Indonesian Tourism, Hospitality and Recreation J-Dinamika: Jurnal Pengabdian Kepada Masyarakat JCRS (Journal of Community Research and Service) International Journal of Education, Science, Technology, and Engineering (IJESTE) Jurnal Ilmu Peternakan Terapan Bubungan Tinggi: Jurnal Pengabdian Masyarakat Journal of Engineering, Technology, and Applied Science (JETAS) Journal of Informatics Management and Information Technology Jurnal Ilmiah Manajemen dan Kewirausahaan Jurnal Suara Pengabdian 45 Jurnal Teknik Informatika dan Teknologi Informasi Transformasi: Journal of Economics and Business Management Seminar Nasional Aplikasi Iptek (SINAPTEK) Journal of Livestock and Animal Health (JLAH) OKTAL : Jurnal Ilmu Komputer dan Sains JRIIN :Jurnal Riset Informatika dan Inovasi Untag Business and Accounting Review Serat Acitya Indonesian Journal of Community Empowerment Transformasi Masyarakat : Jurnal Inovasi Sosial dan Pengabdian Jurnal Ilmiah Manajemen Dan Kewirausahaan
Joko Riyanto
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : Jurnal Teknoinfo

 1 
CLASSIFICATION OF COVID 19, PNEUMONIA AND NORMAL LUNGS BASED ON X-RAY IMAGES USING CONVOLUTIONAL NEURAL NETWORK Riyanto, Joko; Lita, Siti Nur
Jurnal Teknoinfo Vol 18, No 1 (2024): Januari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v18i1.2688

Abstract

The RT-PCR (Real Time – Polymerase Chain Reaction) examination method is a type of Nucleic Acid Amplification Test (NAAT) method currently used by hospitals, laboratories and other facilities stipulated by the Minister of Health as the main standard for the diagnosis of Covid-19. It is this sensitivity and specificity in detecting genetic material that makes the PCR method quite important and is still the gold standard in detecting SARS-CoV. Although considered the best, not without flaws. The RT-PCR examination method requires two processes, namely extraction and amplification. which takes several days to find out the results of the RT-PCR examination. However, the positive rate for this method is reported to be around 30-60%, so there are still patients who are not diagnosed and can cause infection in healthy people. One of the alternatives used for the detection of Covid-19 is Chest Radiographic Imaging (X-Ray or Computed Tomography Scan) which is a tool that is often used periodically as a tool to easily and quickly diagnose pneumonia and Covid-19. The detection of Covid-19 by X-Ray Imagery has proven to be feasible as well as deep residual tissue studies. Detection of Covid-19 Disease Based on X-Ray Imagery and Results of Implementation of Corona Virus Detection on X-Ray Imagery Using Intelligence Algorithms. In this study a classification system for Covid-19, Pneumonia and Normal Lung will be designed using the CNN architectural model which uses three dataset sources to add (combine) Pneumonia, Normal Lung image data, and also Covid-19 image data.  so that it becomes one dataset. which aims to analyze the level of accuracy in the proposed model.
Co-Authors Abdurrahman, Zakaria Husein Agung Wibowo Ahmad Pramono Al Rozaq, Muhammad Abdulloh Alyanisa Amsar Amsar Arba Septiyani, Risa Ari Kusuma Wati Ari Prasetyo Ari Prasetyo Aris Mardiyono Assabilla, Rahma Az Zahra, Salsabila Budiman, Luqman Aziz C H Asta Nugraha Cahyadi, Muhammad Camilus Isidorus Chairul Anwar Delji, Roby Dimas Rahadian Aji Muhammad, Dimas Rahadian Aji Dwi Syahputra, Akmal Dwi Yanti, Wulan Dzakiy Pradana, Defasta Dzikri Mansyursyah Amin Faris Tio Kurniawan Ferdinandus, Aprildy Randy Andrew Fissilmi, Naily Frans Sudirjo Gita Sugiyarti Hakim, Arip Rahman Heru Eko Prasetyo Hilmi Nabila, Talitha Ikhsan, Muh Imam Gozali Imana, Dede Indrawan M. Nur, Yusri Intan Sari, Ayu Iqbal Ramadhan, Musyaffa Janti Soegiastuti Kani Daffa, Mochammad Kharunia Rezki Akbar, Kharunia Rezki Khoerun Nisa Kurniawati, Dhyan Ayu Lita, Siti Nur Mahmudah, Fitrotul Merry Muspita Dyah Utami Muchayatin, Muchayatin Muhammad cahyadi Muji Rahayu Musprihadi, Ribut Nindy Sepang Nissa, Nasta 'Ainun Nissa, Nasta ‘Ainun NURCHAYATI Nurchayati Nurchayati Nurul Hikma, Az’zahra Okid Parama Astirin OKID PARAMA ASTIRIN Parju Parju, Parju Pawestri, Wari Pratama, Dayu Pratiwi, Adinda Putriani Priska Shirty Thelma Mawuntu Putra, Fajar Desta Putri Muharom, Ersa Ratih Dewanti Ratih Dewanti -Hariyadi Reski Amaliah REZA FAHLEVI Riyan Nopriyana Riyanisma, Besti Ismi Rokhmaniyah Rokhmaniyah, Rokhmaniyah Rosya, Senna Bela Rr. Suprantiningrum Rr.Suprantiningrum Sabila Wardatussa'adah, Hilya Setyobudi Setyobudi Setyobudi Siti Aminah SITI AMINAH Siti Aminah Soegiarto, Salma Rachmanda Sri Haryanti Sri Puji Lestari Sudibya Sudibya, Sudibya Suhartono Sulistyani Sulistyani Suwarso, Bhaktiar Ghisa Syamsul Hadi Tania, Mira Toharuddin Ali, Danny Tsalatsah, Ibnu Elna Wara Pratitis Sabar, Wara Pratitis Wari Pawestri Wati, Ari Kusuma widyantoro, satrio Wiweka, Toh Jaya Yuli Yanti Yuli Yanti Zahrotul Fitriani Zulfikar, Ahmad Fikri ‘Adilah, Jihan Miftah