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All Journal Jurnal Ilmiah Kursor Teknika: Engineering and Sains Journal JPMI (Jurnal Pendidikan Matematika Indonesia) Applied Technology and Computing Science Journal Building of Informatics, Technology and Science ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Informatics, Electrical and Electronics Engineering SCIENCE ELECTRO Jurnal Sistem Informasi dan Informatika Jurnal Media Akademik (JMA) The Indonesian Journal of Computer Science Galois : Jurnal Penelitian Pendidikan Matematika PERFECT: Journal of Smart Algorithms
Fawaidul Badri
Universitas Islam Malang
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Journal : Jurnal Ilmiah Kursor

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DEEP LEARNING ARCHITECTURE BASED ON CONVOLUTIONAL NEURAL NETWORK (CNN) IN IMAGE CLASSIFICATION Fawaidul Badri; M. Taqijuddin Alawiy; Eko Mulyanto Yuniarno
Jurnal Ilmiah Kursor Vol. 12 No. 2 (2023)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v12i2.349

Abstract

In current technological developments, Deep Learning is one of the most popular studies today, especially in the fields of machine learning and computer vision, GPU Acceration Technology is one of the reasons for the development of Deep Learning. Deep Learning has a very good ability to solve classic problems in the field of computer vision, one of which is in the case of object classification in images. one of the deep learning methods that is often used in image processing is the Convolution Neural Network (CNN) which is a development of the Multi Layer Perceptron method. This study uses the CNN architecture which consists of a convolution layer, as well as a fully connected layer, and will also determine the appropriate Optimizer and Loss function for CNN. The implementation of this method uses Google Colab (Tensorflow and Keras) with the Python programming language. In the training process using CNN, setting the number of epochs is done to improve accuracy in image classification, in the first scenario using epoch 20 produces an average accuracy of 99.45 with a loss value of 1.66. In the second scenario using epoch 15 produces an average accuracy value of 99.00 with a loss value of 2.92. then in the third scenario with a number of epochs 10 it produces an average accuracy value of 95.55 with a loss value of 95.55, while in the last scenario with a number of epochs 5 it produces an average accuracy value of 73.6 with a loss value of 51.92. From the 4 trial scenarios using the CNN method gives effective results and produces a fairly good accuracy value with an average accuracy and loss value of 99.99%. As well as the results of an average loss of 4.
Co-Authors ABDULLAH FAQIH Adimas Ryandanu Ahmad Murtaqi Al Ikhwan Resqy Fauzan Alqob Alawi, Ahmad Albarady, Muhammad Adiestha Alvilda Delsyia Putri Alvin Setiawan Anang Habibi Anastasia Lidya Maukar Anik Vega Vitianingsih Annisa, Faradilla Nur Ardiansyah Siregar Ardiansyah Siregar Awang Andhyka Azzahra, Morra Fatya Gisna Nourielda Azzaro, Nabila Bambang Minto Budiarti, Rizqi Putri Nourma Deny Rusdianto Dujjah, Nurul Ilmi Badrun DWI CAHYONO Efendi S Wirateruna Eko Mulyanto Yuniarno Erina Hanifah Sari Fandisya Rahman Faradilla Nur Annisa Fatimat Uzahro Ferdyanto Hartoko, Rafif Pudyo Hawia, Siti Imam Rosadi Khusnul Khotimah Lina Dwi Novita Sari M. Taqijuddin Alawiy Madia, Niswatul Maulani, Maghfira Izzani Moh Ridwan Mohamat Imron Mohammad Agustian Mohammad Jasa Afroni Muhammad Farih Al Habib Muhammad Taqiyyuddin Alawiy Muhammad Yusuf Niqris Nabila Azzaro Nabilatul Fikriyah Ngatmari Nila Nur Pratiwi Niqris, Muhammad Yusuf Nopia, Rambu Ade Novita Sari Nurullah, Zulfa Putria Nury Maela Adhima Oktrison, Oktrison Oktriza Melfazen Pradina Dyah Widyawan Putra, Rikko Nur Alif Hidayah Permana Qolbi Firmansyah Rafif Pudyo Hartoko Rambu Ade Nopia Ridwan Maulana Riski Mono Sari Rofi, Ahmad Nafiur Saputra, Herdian Saputri , Nanda Sari, Lina Dwi Novita Sari, Nur Farhania Silva, Virginia Amelia Dos Santos Sipahutar , Erwinsyah Siti Hawia Sulistya Umie Ruhmana Sari, Sulistya Umie Ruhmana Syaad Patmanthara Trisna Wati Sakka Uzahro, Fatimat Whardana, Dicky Kusuma Zaeni, Ilham Ari Elbaith Zulfa Putria Nurullah