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All Journal International Journal of Electrical and Computer Engineering Sainteks Jurnal Ilmu Komputer dan Informasi Jurnal Teknik Elektro Jurnal Edukasi dan Penelitian Informatika (JEPIN) Prosiding Semnastek Semesta Teknika Suhuf Jurnal Ilmiah KOMPUTASI Knowledge Engineering and Data Science Wikrama Parahita : Jurnal Pengabdian Masyarakat Jurnal Pilar Nusa Mandiri CogITo Smart Journal Indonesian Journal of Information System Dinamisia: Jurnal Pengabdian Kepada Masyarakat JMM (Jurnal Masyarakat Mandiri) Justek : Jurnal Sains Dan Teknologi CARADDE: Jurnal Pengabdian Kepada Masyarakat JURTEKSI JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Infotekmesin Journal of Information Systems and Informatics RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi JIKA (Jurnal Informatika) Community Empowerment JPM: JURNAL PENGABDIAN MASYARAKAT Bima Abdi: Jurnal Pengabdian Masyarakat Journal of Telecommunication, Electronics and Control Engineering (JTECE) Insearch: Information System Research Journal KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Jutech: Jurnal Teknologi Informasi Malcom: Indonesian Journal of Machine Learning and Computer Science J-Icon : Jurnal Komputer dan Informatika Science and Technology: Jurnal Pengabdian Masyarakat Journal of Informatics and Information Security Prosiding SeNTIK STI&K Sasambo: Jurnal Abdimas (Journal of Community Service) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Journal of Computer Science Advancements
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Journal : Insearch: Information System Research Journal

Identification of 29 Types of Plant Diseases using Deep Learning EfficientNetB3 Bayangkari Karno, Adhitio Satyo; Hastomo, Widi; Kusuma Wardhana, Indra Sari; Sutarno, Sutarno; Arif, Dodi
Insearch: Information System Research Journal Vol 2, No 02 (2022): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v2i02.4389

Abstract

To supply the world's food needs in the midst of the existing food crisis, farmers urgently need to expand crop production. By establishing it simple to recognize the kind of plant disease so that earlier control efforts could be conducted, farmers' harvest failures driven on by disease attacks must be prevented. In this study, one of the Convolutional Neural Network (CNN) architectures known EfficeintNetB3 is applied to generate a classification model for 29 different types of plant diseases. A model is created after 3,170 image data are used for validation and 57,067 image data were utilized for training. 3,171 image data tests were conducted as part of the model testing phase, and the total test results were produced an extraordinarily high accuracy score of 0.99 percentage and an F1-score
Brain Tumor Classification Using Four Versions of EfficientNet Widi Hastomo; Adhitio Satyo Bayangkari Karno; Dody Arif; Indra Sari Kusuma Wardhana; Nada Kamilia; Rudy Yulianto; Aji Digdoyo; Tri Surawan
Insearch: Information System Research Journal Vol 3, No 01 (2023): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v3i01.5810

Abstract

Medical image processing approaches for detecting brain cancers are still primarily done manually, with low accuracy and taking a long period. Furthermore, this task can only be done by professionals with a high degree of medical competence, and the number of experts is obviously restricted in comparison to the large number of patients who need to be treated. With the growth of artificial intelligence and the rapid development of computers in terms of processing speed and storage capacity, it is feasible to assist doctors in classifying the existence of tumors in the head. This study employs four variations of the EfficientNet architecture to train a model on a variety of MRI imaging data. The model version B1 was shown to be the best in this investigation, with 98% accuracy, 99% precision, 95% recall, and 97% f1 score from versions B0 to B3 (4 versions). These results are excellent, but they do not rule out additional study utilizing various forms of design.
Co-Authors Adhitio Bayangkari Satyo Karno Adhitio Satyo Adhitio Satyo Bayangkari Karno Adhitio Satyo Bayangkari Karno Adhitio Satyo Bayangkari Karno Agita Tunjungsari Ahmad Eko Saputro Ahmad Eko Saputro Ahmad Eko Saputro Aji Digdoyo Aji Digdoyo Al-Ghifari, Muhammad Ridho Ambardi Ambardi Ambardi Ambardi Ambardi, Ambardi Amellya, Renny Dwi Aminudin Ardana, Nandika Bayu Arif, Dody Arliando, Tommy Aryo Nur Utomo Asy-Syifa, Zahwa Zia Azie, Yusril Azis, Nur Bakti, Indra Basri, Lody Saladin Bayangkari Karno, Adhitio Satyo Belva, Nasywah Sabina Chufran, Indra Bakti Daruningsih, Kukuh Deon Strydom Deswandi, Arief Diana Yusuf Digdoyo, Aji Dodi Arif Dodi Arif Dody Arif Eka Sally Moreta Eka Sally Moreta Eko Ahmad Eko Ahmad Eko Hadiyanto Elliya Sestri Eva Karla, Eva Fahrul Razi Fahrul Razi Faikoh, Siti Fakhri, Muhamad Naufal Faqihudin Faqihudin Fiedha Nasution Fiqhri, Zul Fitriyani Fitriyani Handayani, Sri Setya Harini Agusta Holmes Rolandy Kapuy Hudaa, Syihaabul Ignatius Joko Dewanto, Ignatius Joko Indra Bakti Indra Sari Kusuma Wardhana Indra Sari Kusuma Wardhana Indra Sari Kusuma Wardhana Ire Puspa Wardhani Iwan Setiawan Kalbuana, Nawang Kamilia, Nada Kardian, Aqwam Rosadi Karno, Adhitio Satyo Bayangkari Kasoni, Dian Kusuma Wardhana, Indra Sari Linda Wahyu Widianti LM Rasdi Rere LM Rasdi Rere Lussiana ETP Lyscha Novitasari Maeda, Serly Masriyanda, Masriyanda Meika Syahbana Rusli Melyawati Melyawati, Melyawati Merlina, Merlina Muhammad Mardani, Muhammad Nada Kamilia Nada Kamilia Nada Kamilia Nani Kurniawati Natasya, Fatin Nia Yuningsih Nia Yuningsih Nisfiani, Ervina Nur Aini Nuraisyah Nuraisyah Nurhidayati, Aulia Nurmala, Risma Permata, Jelita Prasetyo, Aditya Dwi Purwianti, Zahra Clarita Putra, Yoga Rarasto Putri , Basmallah Ramadhani Aisyah Putri, Dhea Ananda Putri, Syalma Awalya Rahman, Ibadu Rahman, Muhammad Khosyi Rasyiddin, Ahmad Rere, L.M Rasdi Reza Fitriansyah Reza Fitriansyah Rochman, Yuanda Rudy Yulianto Rudy Yulianto Sabillah, Isti’ Anatus Saputro, Ahmad Eko Sestri, Elliya Sestri, Ellya Setiawati, Popong Shevti Arbekti Arman Silvia Ningsih Soegijanto Soegijanto Soleha, Maratus Stevianus Stevianus Sudarto Usuli Sudarwanto, Pantja sudjiran Sudjiran Sukardi, Sukardi Sundoro, Aries Surawan, Tri Sutarno Sutarno Sutarno Sutarno Sutarno Syamsu, Muhajir Syihaabul Hudaa Tri Surawan Tri Surawan Vany Terisia Wardhana , Indra Sari Kusuma Widiyawati, Wita Yayat Sujatna Yayat Sujatna Yayat Sujatna, Yayat Yoga Rarasto Putra Yoga Rarasto Putra Yoga Rarastro Putra Yulianti Muthmainnah, Yulianti Yuningsih, Nia Yusuf Yusuf YUSUF, DIANA Zahratul Azizah