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All Journal Prosiding SNATIKA Vol 01 (2011) JUITA : Jurnal Informatika Creative Information Technology Journal Jurnal Sains dan Informatika ILKOM Jurnal Ilmiah Generation Journal Jurnal ABDINUS : Jurnal Pengabdian Nusantara JAMI: Jurnal Ahli Muda Indonesia Advance Sustainable Science, Engineering and Technology (ASSET) Joutica : Journal of Informatic Unisla Nusantara of Engineering (NOE) JSITIK: Jurnal Sistem Informasi dan Teknologi Informasi Komputer Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Masyarakat Nusantara Jurnal Rekam Medis dan Informasi Kesehatan Indonesia
Risa Helilintar
Teknik Informatika, Fakultas Teknik, Universitas Nusantara PGRI Kediri
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation

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Classification of Dog and Cat Images using the CNN Method Adriyanto, Teguh; ramadhani, risky aswi; Helilintar, Risa; Ristyawan, Aidina
ILKOM Jurnal Ilmiah Vol 14, No 3 (2022)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v14i3.1116.203-208

Abstract

Blind people can be defined as those people who are unable to see objects or pictures around them with their eyes. This inability becomes an issue for them when dealing with objects or images in front of them. These problems lead to the novelty of this study that is to recognize objects or images around blind people with the CNN algorithm. Dogs and cats were used as objects in this study. These object recognitions used Deep Learning, a relatively new science in the field of machine learning. Deep learning works like the human brain's ability to recognize an object. In this study, the objects that were used were pictures of a dog and a cat. This study used 3 types of data, namely training, validation, and testing data. The data training consisted of dog data with a total of 1000 images and cat data with a total of 1000 images. Data validation consisted of 500 dog data  and 500 cat data. The CCN architecture employed 3 convolution layers. The layer was convolution 1 using 16 filters of kernel size 3x3, the second convolution using 32 filters of  kernel size 3x3 and the third using 64 filters of kernel size 3x3. While the data testing consisted of 51dog data and 27 cat data. The method used to analyze the image was CNN. The input was an image with a size of 150x150 pixels with 3 channels, namely R, G, and B. This classification went through a performance test with the Confusion Matrix and it obtained 45% precision, 45% recall and 45% f1-score. From these results it can be concluded that the accuracy values should be improved.
Co-Authors Adriyanto, Teguh Affandi Febrinsa Pratama Ahmad Bagus Setiawan Ahmad Fitra Hamdani Ahmad Jamaludin Ahnan, Miftah Aidina Ristyawan, Aidina Aldiansyah, Fikri Afandy Alfino Wahyu Pramudya Amisha Elisya Devi Anggakara, Agra Antika, Firma Fuji Rinti Anugrah A, Gigih Jenop Anwar, Muhammad Choirul Ardi Sanjaya Arifin, Soim Asmara, Big Daya Yudha Awalina, Salma Putri Aziema, Alfin Bahtiar, Miftahul Ilmi Danang Wahyu Widodo Danar Putra Pamungkas, Danar Putra Dandyade Candra, Dandyadex Daniel Swanjaya Dea, Dea Avrillia Arba'a Deni Luvi Jayanto Dewantara, Bagas EKA YUNIARTI Erwanto, Rio Aldi Fachrudin, Muhammad Nur Fahmi, Muhammad Fajrul FAJAR SETIAWAN Fawaid, Muhammad Hasib Firdaus, Maulana Anas Firmansah, Muhammat Arisona Gilang Dwi Cahyo Gusnugraeni, Alifdyah Hermasrurin Hanif Al Fatta Hidayat, Uun Huda, Fakhry Miftakhul Hudha, Moch Nur Ida Ayu Putu Sri Widnyani Intan Nur Farida Inzaghi, Febri Wika Irngamsyah, Wildan Gistra Jamhari Jamhari Julian Sahertian Karim, Achmad Zainul Kasih, Patmi Kasih Khamdanni, Moh. Lillasari, Juhana Made Ayu Dusea Widyadara Made Ayu Dusea Widyadara - Universitas Nusantara Kediri, Made Ayu Dusea Widyadara Mahdiyah, Umi Mawarni, Reza Mido, Gafana Oly Muhammad Mutafanninun Mukhtari, Nailusofa Al Mustakim, Abdurrahman Secondanu Muzaki, Anwar Muzan Ihda Khotmuniza Ndun, Yondri Ginola Nugraha, Yoga Adi Nurhadi Nurhadi Patmi Kasih Perkasa, Galang Elang Pradana, Priyan Pradipta, M.Herma Prasetya, Marsha Auriel Putra, Renno Rama Putri, Karina Ananda Ramadhan, Muhammad Iqbal Ramadhan, Ryan Akbar Ramadhanu, Ilham Khefi Ratih Kumalasari Niswatin Resty Wulanningrum Rini Indriati Risky Aswi R, Risky Rizki Dwi Febrian Rochana, Siti Rochana, Siti Rochana, Siti Rony Heri Irawan Rosadi, Asyadam Abriel Santoso, Ricky Laschka Zidane Saputro, Abimanyu Agung Setiyawan, Gadang Putro Bagus setiyawan, Heru Siti Rochana Syafroni, Mochamad Tani , Ani Asmawati Thobroni, Nur Ahmadi Umami, M. Rizal Widyadara , Made Ayu Dusea Wulandari, Miftakhul Wulaningrum, Resty Yulianto, Haris Yustikawan, Eko Tri Zakaria, Farid Fauzi