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All Journal Fountain of Informatics Journal AL QUDS : Jurnal Studi Alquran dan Hadis Imtiyaz : Jurnal Ilmu Keislaman PROFESSIONAL HEALTH JOURNAL JURNAL AKUNTANSI DAN BISNIS Jurnal Masyarakat Mengabdi Nusantara Adopsi Teknologi dan Sistem Informasi DUNIA KEPERAWATAN: JURNAL KEPERAWATAN DAN KESEHATAN Murid : Jurnal Pemikiran Mahasiswa Agama Islam PEDAMAS (Pengabdian Kepada Masyarakat) Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Pengabdian Kepada Masyarakat Bidang Teknologi dan Sistem Informasi Kreatif Teknologi dan SIstem Informasi DIRAYAH : Jurnal Ilmu Hadis Jurnal Pengabdian Masyarakat Bumi Anoa Jurnal Manajemen Bisnis dan Terapan Ihsanniat: Jurnal Pengabdian Kepada Masyarakat Jurnal Studi Ilmu Alquran dan Tafsir At Tawil Jurnal Pengkajian al Quran dan at Turats
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Journal : Fountain of Informatics Journal

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Klasifikasi COVID 19 dengan Metode EfficientNet berdasarkan CT scan Paru-paru Irsyad, Akhmad; Islamiyah; Amal, Fakhmul
Fountain of Informatics Journal Vol. 8 No. 2 (2023): November
Publisher : Universitas Darussalam Gontor

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Abstract

Abstrak Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) adalah virus penyebab Covid-19. Covid-19 adalah virus mematikan yang oleh Organisasi Kesehatan Dunia (WHO) ditetapkan sebagai pandemi karena penyebarannya yang cepat. Dua metode yang kini paling sering digunakan untuk mendeteksi Covid-19 adalah Rapid Diagnostic Test (RDT) dan Real-Time Reverse Transcription Polymerase Chain Reaction (RT-PCR). Menemukan strategi baru yang cepat dan tepat sangat penting karena kedua strategi memiliki kelebihan dan kekurangan. Penggunaan CT scan untuk menemukan Covid-19 adalah salah satu metode yang direkomendasikan. Makalah ini merekomendasikan identifikasi Covid-19 pada gambar CT menggunakan EfficientNet B0 tampil lebih unggul dari model tanpa CLAHE. Untuk performa EfficientNet B0 dengan CLAHE, akurasi, F-measure, recall, dan precision adalah 91,95%, 92,06%, 92,43%, dan 91,69%..   Kata kunci: Covid-19, Klasifikasi, Deep Learning, EfficientNet   Abstract [Classification of COVID-19 using the EfficientNet Method Based on Lung CT Scan] Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus that causes COVID-19. Covid-19 is a deadly virus that the World Health Organization (WHO) has designated as a pandemic due to its rapid spread. The two methods that are now most often used to detect COVID-19 are the Rapid Diagnostic Test (RDT) and Real-Time Reverse Transcription Polymerase Chain Reaction (RT-PCR). Finding a new strategy that is quick and precise is crucial since both strategies have benefits and drawbacks. The use of a CT scan to locate Covid-19 is one recommended method. This paper recommends identifying COVID-19 on CT images using EfficientNet B0 performs superior to the model without CLAHE. For the performance of EfficientNet B0 with CLAHE, accuracy, F-measure, recall, and precision are 91.95%, 92.06%, 92.43%, and 91.69%.   Keywords: Covid-19, Classification, Deep Learning, EfficientNet
Co-Authors Agnestia Ahmad Mudatsir Ahmad Syarif Mutsanna Aisyahanis Aji Akbar Mirinda Putra Ali, Lailatul Fadilah Amal, Fakhmul Amin, Rajabbul Angela, Jeroline Betsy Anisaturrohmah Antara, Alecia Maharani Ektya Arina Hidayati Azam Masa, Amin Padmo Chamidah , Ulya Nur Darmayana , I Gede Darwi, Metisya Dinda Nur Aini Dwi Wulandari Ningtias Purnama E. Hamim Kafin Ahmad Evi Nur Safitri Fajar Syafatoni Raihanadif Faradila, Nadia Fety, Yulli Fitriani, Awaliah Dwi Nur Gibrani, Muhammad Raza Daffa Hasnia Dina HERDAETHA, ADRIESTI Hery Wibowo Honipah Husna, Maisarotil Imelda Putri Irsyad, Akhmad Islaeli, Islaeli Jundillah, Muhammad Labib Kamila, Vina Zahrotun Kartika Sari, Amalia La Ode Ardiansyah Luthfiany , Mufidah Marsila Masa, Amin Padmo Azam Moh. Sholeh Muhammad Fadli Muhammad Fa’iz Muhammad Labib Jundillah Muhammad Rizky Setiawan Nadia Najla Nayla Putri Nanda, Nidya Putri Novianti, Asri Dwi Noviati Nurdin Nurdin Parwati Efendi, Galuh Pasangkin, Jharmianto Kurnia Pasaribu, Syahfitri Pratama, Fadillah Jaga Prayoga, Aditya Restu Putri, Juventia Adelia Putut Pamilih Widagdo R, Fernando Nikolas Rahmadania, Waode Rahmadhana, Syafira Rajendra Igo Maulanatazi Ramadhana Ramadiani Ramayanti, Desy Ridwan Hanafi, Muhammad Ali Ririn Ririn Yuliani Azahra Zardan Rivanza, Taqih Riyandi , Selamat Rizky, Avinka Rohmawan Adi Pratama Sari Arie Lestari Sativa, Alisya Nisrina Septiawan, Debree Setyadi, Hario Jati Siti Solikah Yosi Karinda Solihin Srikandi Puspa Amandaty Stephanie Elfriede Ginting Sulipah Tabah Rizki Triyono Triyono Vina Zahrotun Kamila Wa Ode Rahmadania Wardhana, Reza Wibisono, Muhammad Putra Zakiyah Zoahira, Waode Aisa