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All Journal Syntax Jurnal Informatika Teknosains: Media Informasi Sains dan Teknologi Jurnal Ilmiah FIFO JURNAL MEDIA INFORMATIKA BUDIDARMA The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Building of Informatics, Technology and Science Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Informatika dan Rekayasa Elektronik JATI (Jurnal Mahasiswa Teknik Informatika) JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknimedia: Teknologi Informasi dan Multimedia KLIK: Kajian Ilmiah Informatika dan Komputer Brilliance: Research of Artificial Intelligence BEES: Bulletin of Electrical and Electronics Engineering Jurnal Informatika Teknologi dan Sains (Jinteks) Indonesian Journal of Engineering (IJE) Sejahtera: Jurnal Inspirasi Mengabdi Untuk Negeri Hexagon Jurnal Pengabdian Rekayasa Sistem Jurnal Teknologi Informatika dan Komputer Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Yuliadi Yuliadi
Universitas Teknologi Sumbawa, Sumbawa
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Komparasi CNN dengan ResNet Untuk Klasifikasi Paling Akurat Tingkat Keganasan Diabetes Berdasarkan Citra Retinopathy Lalu Mutawalli; Mohammad Taufan Asri Zaen; Yuliadi Yuliadi
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3248

Abstract

Diabetes becomes an infectious disease that has a very significant increase, it's increasing not only in old age or even suffered by a young age. Based on the Data and Information Center of the Ministry of Health of the Republic of Indonesia, the prevalence of diabetes is 9% in female genitals and 9.65% in male genitals and is estimated to increase to 19.9% with the addition of population age. Currently, the Machine Learning (Depp learning) approach is widely used in carrying out the calcification of medical image data. Retinopathy Diabetes image data can be used as material to build a classification model by utilizing the Convolutional Neural Network (CNN) algorithm and Residual Network (ResNet). The test results in the model developed in this study were the comparison showing the accuracy level of CNN 68.49% while the ResNet was 81.23%, in the CNN loss test 32.57% while the ResNet was 12.59%. In the Scenario of the application of Learning Rate 0.0005 also the ResNet is better than CNN, in the CNN Learning Rate Application Scenario producing an accuracy value of 68.49% while the ResNet adopts an accuracy value of 81.84% and on the CNN loss value of 20.14 while the 10.2% Resnet has a higher level of accuracy has a higher accuracy rate Compared to CNN and the application of learning rates it also affects in building a more accurate model in the case study of Retinopathy Diabetes.
Co-Authors -, Ekastini Abdul Gofur Ahmad Farijan Ahmad Tantoni Aldrin Ali Akbar Ali Topan, Paris Alpi Sahrin Arif Annursida Armelia Putrianjani Asih Purwana Sari Bagus, Muhammad Bahtiar, Syamsul Chaerun Hadiyan Syah Chalvin Bebby Febrianto Dedy Sofian Dedy Sofian MZ Dedy Sofyan MZ Dery Sofya, Noura Dimas Wiryatari Doddy Teguh Yuwono Dzil Ikram, Fadhli Ekastini Ekastini Ekastini Ekastini Eri Sasmita Susanto Erwin Mardinata Erwin Martadinata Fadhli Dzil Ikram Fahri Hamdan Fahri Hamdani Farida Idifitriani Furdi Adrisah Halid Nuryadi Hammid Muammar Robbani Al Faruq Hanif Priabdul Aziz Hanny Hafiar Herfandi Herfandi Hermanto, Koko Herpan Syafil Harahap I Gusti Putu Muliarta Aryana I Wayan Joniarta Idham Idham Ika Mustika Ikram, Fadhli Dzil Imam Munandar Ismiyarti, Wilia Juniardi Akhir Putra Khairunnazri Lalu Mutawalli M. Julkarnaen M. Julkarnain Mahsun Malik Ibrahim Mardan Mardan Marzuki Adami Marzuki Adami Mega Tazayyun Mietra Anggara Mietra Anggara Mohammad Taufan Asri Zaen Muhammad Azzam Al Fauzie Muhammad Irwan Suryadi Muhammad Shafwan Mukhtar Hadi Mulyanto, Yudi Mustakim Mustakim Mustakim Musthofa Luthfi Al Manfaluty Mutiara, Linda Nabila Oper Nawassyarif Nora Dery Sofya Nora Dery Sofya Nora Dery Sofya Nur Imansyah Nurmayani, Heni Nurul Maulida Solihat Nuryadi, Halid Pujiwalida, Isinaning Puspita Rama Nopiana Putry Chaerunnisa Mudmainna Putu Rani Susanthi Rahmat Fauzi Rio Rahmat Yusran Robbani, Farisan Rodi anto Rodianto, Rodianto Rosika, Herliana Rusdan Rusdan Rusdan Rusdan Rusdan Ryan Suarantalla Sabri Balafif Safwan Sihab Sansul Yasmi Shinta Esabella Siti Patimah Az-zaen Sofya, Nora Dery Sonia Sonia Sukarna, Royan Habibie Sultan Naufal Abdillah Suratman Suratman Tis Asy Aria W, Yunanri Wahyu Ramadhan Wilia Ismiyarti Yasinta Bella Fitriana Yudi Mulyanto Yudi Pratama Yulian Ansori Yunanri W Yunanri. W