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All Journal International Journal of Electrical and Computer Engineering International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Pendidikan Karakter Jurnal Pendidikan Vokasi Jurnal Edukasi Elektro Jurnal Penelitian Saintek JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Pendidikan Teknologi dan Kejuruan TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pendidikan IPA Indonesia Jurnal technoscientia Sinergi Program Kreativitas Mahasiswa - Teknologi Indonesian Journal of Science and Technology JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics Golden Age: Jurnal Ilmiah Tumbuh Kembang Anak Usia Dini Journal of Vocational Education Studies Indonesian Journal of Electrical Engineering and Computer Science Journal of Innovation Information Technology and Application (JINITA) JURNAL TEKNOLOGI TECHNOSCIENTIA Southeast Asian Journal of Technology and Science
Moh. Khairudin
Universitas Negeri Yogyakarta
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Journal : Sinergi

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Early detection of diabetes potential using cataract image processing approach Moh. Khairudin; Rendy Mahaputra; Wiharto Wiharto; Yasmin Mufidah; Leo Anang Miftahul Huda; Rafif Apta Reswara; Adelia Putri Nur Ahni; Gita Juli Hartanti
SINERGI Vol 28, No 1 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2024.1.006

Abstract

Diabetes is a disease characterized by a high level of sugar in the blood. The disease occurs because of a disruption in the metabolic system when insulin is not produced effectively and functions properly. High blood sugar levels, for an extended period of time, can harm a few organ systems, including the heart and kidneys. Moreover, it may cause blindness or death if it is not carefully monitored. Because diabetes symptoms are rarely seen, one of the factors that may cause diabetes is self-awareness. Thus, with Artificial Intelligence, this problem can be solved. Artificial intelligence studies how machines can function like humans. This study implemented a Convolutional Neural Network algorithm with (1) input layer, (2) feature learning layer, (3) classification layer, and (4) output layer as the architecture for AI. The accuracy of the developed AI model was measured from its precision, recall, and f1-score. The results show that the model obtained 90% precision, recall, and f1-score for real-world cases found in two hospitals located in Solo and Yogyakarta, Indonesia. According to the results of the tests, 9 out of 10 patients were correctly predicted as having a high risk of diabetes based on their eye images.
Co-Authors A. Shah A.R. Husain Abdul Rashid Husain Abdullah Yusoff Adelia Putri Nur Ahni Ahmad Habibullah Ahmad Hoirul Aifaa Husna Asha’ri Amri, Aziezatul Nezirah Anggoro Fajar Dwi U Ariffin, Arihasnida Arihasnida Ariffin Asri Widowati Aziezatul Nezirah Amri Azizah, Safira Rusyda Azman Hasan Azman, M.N.A Azman, Mohamed Nor Azhari Badraningsih Lastariwati Bayu Setiaji Budiastuti, Pramudita Deny Budi Hertanto Dessy Irmawati Didik Hariyanto Dwi Esti Andriani Eko Prasetyo Enjang Akhmad Juanda Fanani Arief Ghozali G.D. Chen Galih Mustiko Aji Gayuh Titis Permana Gita Juli Hartanti Hamzah, Norhasyimah Haryanto Haryanto Hendi Purnata Heru Raharjo Idris, Muhammad Ridzuan Imam Ma'arof, Nurul Nazirah Irdayanti Mat Nashir Irdayanti Mat Nashir Irwan Mahazir Ismail Irwan Mahazir Ismail Ismail, Irwan Mahazir Ismail, Mohamad Amiruddin Ismail, Mohd Erfy Istanto Wahyu Djatmiko Jamil Abd Baser Jamil Abd Baser Joko Laras B T Ketut Ima Ismara Khafidh Nur Aziz Khairul Azhar Mat Daud Kiong, Tee Tze Kí¶hler, Thomas Laras B T, Joko Leo Anang Miftahul Huda Lipur Sugiyanta M Noor A Azman M. Luthfi Hakim M.C. Wu Mahmud Arif Maisel Priskila Sisilia Maman Abdurohman Mat Daud, Khairul Azhar Mat Nashir, Irdayanti Mauludin, Moch Subchan Ma’arof, Nurul Nazirah Imam Mentari P Jati Moch Sukardjo Mohamed Nor Azhari Azman Mohammad Lutfi Mohd Erfy Ismail Mohd Erfy Ismail Mohd Hasril Amiruddin Muhamad Iskandar Muhammad Chirzin Muhammad Ridzuan Idris Nanda Pranandita Nashir, Irdayanti Mat Nopadon Maneetien Norhasyimah Hamzah Nugraha, Ariadie Chandra Nurkhamid Nurkhamid Nurlia Sutiani Nurliadin, Nurliadin Nurul Nazirah Imam Ma'arof Nurul Wahidah Pipit Utami Pramono, H. S. Purwoko Haryadi Santoso Putut Hargiyarto R. Asnawi Rafif Apta Reswara Refalda, R. Rendy Mahaputra Retnawati, H. Ridho, R.N. Ridho, R.N. Rustam Asnawi S. Riyanto Sarwo Pranoto Setyo Supratno Shah, A Sigit Yatmono Singgih Dwi Prasetyo Siti Marfu’ah Sudiyatno Sudiyatno Susiwi . Suyanto Suyanto Tee Tze Kiong Triatmaja, A. K. Trisnoaji, Yuki Wiharto Wiharto Wiraguna, Rayie Tariaranie Yasmin Mufidah Yundari, Yundari Yusoff, Abdullah Yusuf Kurniawan Z. Mohamed Z. Mohamed Z. Mohammed Zaharuddin Mohamed