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Yunifa Miftachul Arif
Department Of Informatics Engineering, Universitas Islam Negeri Maulana Malik Ibrahim Malang
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Journal : Bulletin of Electrical Engineering and Informatics

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Applying convolutional neural network and Nadam optimization in flower classification Aini, Qurrotul; Zulfiandri, Zulfiandri; Firmansyah, Rezky; Arif, Yunifa Miftachul
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.6203

Abstract

Flowers have a variety of shapes, colors and structures, the images of which need to be classified using guided learning techniques. Several studies classify flowers using machine learning, but their accuracy performance is not good. The thing is, the flowers come in a variety of colors that can sometimes look similar to the background. Therefore, this study aims to classify flowers using a convolutional neural network (CNN) and measure its performance. The method used is mixed methods by collecting existing data from previous studies and connecting it with the realities in the field. The Kozłowski and Steinbrener models were used, while the image data was obtained from the Oxford17 and Oxford102 dataset with 17 and 102 flower types, respectively. The results show 60% and 84% accuracy of CNN using the scratch and transfer learning approach for the Oxford17 dataset. The Oxford102 dataset shows 42% and 64%, respectively, with CNN from baseline and transfer learning.
Co-Authors ., Muhammad Imamudin A'yun, Aldilla Qurrata AA Sudharmawan, AA Achmad Sabar, Achmad Ady Wicaksono Agariadne Dwinggo Samala Ahmad Barizi Ahmad Fahmi Karami Ajib Hanani Alfachruddin, M. Nabil Fahd Alfia, Lia Alfia Aqza Tri Ananda HAT Aristantia, Yuliana Aziza, Miladina Rizka A’lan Tabaika, Mokhammad Bojic, Ljubisa Cahyo Crysdian Coelho, Diogo Pereira Dedy Kurnia Setiawan Dewi Purnamasari Diah, Norizan Mat Didin Herlinudinkhaji, Didin Duvan Deswantara Putra Dyah Wardani Fachrul Kurniawan Fathir Fathir Fathir Fathurrahman Firmansyah, Rezky Fresy Nugroho Hamid, Abdulhalim Hamid Salih Hani Nurhayati Howard, Natalie-Jane Ihsan, Afif Nuril Ikhlayel, Mohammed Imami, Nia Kurniawati Imamudin, M. Janitra, Geovanni Azam Juniardi Nur Fadila Junikhah, Allin Khadijah Fahmi Hayati Holle Khan, Nauman Kurniawati Kurniawati Linda Salma Angreani M. Imamudin Mauludiah, Siska Farizah Mauridhi H Purnomo Mochamad Hariadi Mochammad Wahyu Firmansyah Mokhamad Amin Hariyadi Muhammad Faisal Muhammad Faisal Muhammad Sahi Mustofa, Ahmad Habibil Nadhifah, Rizqi Aulia Nauman Khan Norizan Mat Diah Novrindah Alvi Hasanah Putra, Dony Darmawan Putra, Duvan Deswantara Rawas, Soha Ririen Kusumawati Rizqi Aulia Nadhifah Rohma, Salma Ainur Rony, Zahara Tussoleha Roro Inda Melani Safitri A Basid, Puspa Miladin Nuraida Sahi, Muhammad Santiago Criollo-C Setiyawan, Niko Heri Shoffin Nahwa Utama Sulika Sulika Supeno Mardi S. N, Supeno Mardi Supeno Mardi Susiki Nugroho, Supeno Mardi Supriyono Tarranita Kusumadewi Tsalatsatun Nur Rohmah Tsoy, Dana Wahyuliningtyas, Lia Wardani, Dyah Wibowo, Muhammad Ismail Arjun Zainal Abidin Zulfiandri Zulfiandri