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All Journal Al-'Adalah ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JIMKesmas (Jurnal Ilmiah Mahasiswa Kesehatan Masyarakat) Buletin Farmatera Indonesian Journal of Medicine MIND (Multimedia Artificial Intelligent Networking Database) Journal JURNAL FARMASIMED (JFM) Dinasti International Journal of Education Management and Social Science JURNAL PUBLISITAS Indonesian Journal of Global Health research Texere Narra J Multica Science and Technology Journal of Endocrinology, Tropical Medicine, and Infectious Disease (JETROMI) COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat Jurnal Locus Penelitian dan Pengabdian Jurnal Riset Indragiri Innovative: Journal Of Social Science Research Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL
Muhammad Ichwan
Institut Teknologi Nasional Bandung
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Journal : Multica Science and Technology

 1 
APPLICATION OF INTELLIGENT SYSTEM WITH BACKPROPAGATION MODEL IN CLOUD IMAGE CLASSIFICATION Mulyadi Mulyadi; Ichwan, Muhammad; Rizka, Muhammad; Ula, Mutammimul
Multica Science and Technology Vol 2 No 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.323

Abstract

The clouds have different patterns on each type and each type has different properties. The introduction of the type, shape, and nature of the cloud is indispensable in the weather forecasts so that the clouds can be classified. There are several methods used in the image classification process that is the method of the artificial neural network Backpropagation. The method of Backpropagation is one of the methods used for the classification process, in this research Backpropagation used on the training and testing process for the introduction of cloud imagery aimed at determining the type of cloud, before the second These stages are carried out imagery through the preprocessing process. From the training conducted using the Backpropagation method shows that this method generates the best weight value and saves that value into the database to do the testing process using a neural network Backpropagation. In addition, Backpropagation also has the ability to reduce errors by continuously correcting the weight until reaching the maximum target. Data used for training data as many as 92 cloud type image with each type of 10 imagery. In this study obtained a system success rate of 60.6%.
APPLICATION OF INTELLIGENT SYSTEM WITH BACKPROPAGATION MODEL IN CLOUD IMAGE CLASSIFICATION Mulyadi Mulyadi; Ichwan, Muhammad; Rizka, Muhammad; Ula, Mutammimul
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 2 No. 1 (2022): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v2i1.323

Abstract

The clouds have different patterns on each type and each type has different properties. The introduction of the type, shape, and nature of the cloud is indispensable in the weather forecasts so that the clouds can be classified. There are several methods used in the image classification process that is the method of the artificial neural network Backpropagation. The method of Backpropagation is one of the methods used for the classification process, in this research Backpropagation used on the training and testing process for the introduction of cloud imagery aimed at determining the type of cloud, before the second These stages are carried out imagery through the preprocessing process. From the training conducted using the Backpropagation method shows that this method generates the best weight value and saves that value into the database to do the testing process using a neural network Backpropagation. In addition, Backpropagation also has the ability to reduce errors by continuously correcting the weight until reaching the maximum target. Data used for training data as many as 92 cloud type image with each type of 10 imagery. In this study obtained a system success rate of 60.6%.
Co-Authors Adi, Firma Firmansyah Adli, Muhammad Arkan Agus Salim Akram, M. Azriel Alamsyah, Yogi ALFARISYI, SALMAN FATHUL Ambarsari, Dewi Amelia, Irma Anggriawan, Mochamad Angga Aprianty, Henny Ardinata, Dedi - Aritonang, Evawany Y. Barmawi, Mira Musrini Bintang, Siti Sarah Bintang Sarah BURHAN FAJRIANSYAH, BURHAN Chazar, Chalifa Dani, Rahiman Dewi Rosmala, Dewi Dewi, Hartami DEWI, IRMA AMELIA Dewi, Irma Amelia Dhuha, Muhammad Hikmal Dina Budhi Utami Dina Budhi Utami, Dina Budhi Djamaa, Wahjuny Erawan, Putu Eka F H, Ghassan Nur Fahrezi Maulana, Reyhan Ghairrahmat, Dhimas Aji HADI, IHSAN SAIFUL Hanif, Muhammad Adnan HARI PURNOMO Helmaputra, Aldri HERU PURNAWAN Heru Santosa I Ketut Suada Imelda, Fatwa Irawan, Bambang Riyadi Irwan, Yusril Jasman Pardede Jusuf, Nelva Karmila Kusumawati, R. Lia Lubis, Nenni Dwi Aprianti Lukito, Rara Restu Lumbanraja, Sarma N. Mahyuddin K. M Nasution Miftahuddin, Yusup Miftahuddin, Yusup Milda Gustiana Husada Muhammad Rizka, Muhammad Mulyadi Mulyadi Mustafa, Dody Mutammimul Ula Nani Yuniar Nugraha, Priyandhika Adi Nurhasanah, Youllia Indrawaty Octavia, Nur Afni Heryanti Pahlevi, Andhika Permatasari, Ranti Putra, Imam Budi Putri Chairani Eyanoer, Putri Chairani Rahmiwita, Rahmiwita Ramadani, Andi Muchlas Ramadhan, Fikri RATNA SUSANA Reza Malik, M. Fatir RR. Ella Evrita Hestiandari S, Zeni Muharom Salis, Witri Aini Salsabilla, Nadiati SAVERO AL PHARD, SAVERO AL Siahaan, Andre MP. Soekoco, Asril Senoaji SUMANTRI, HANIFAH Suryananda, Ignatius Adiandra Syafiudin, Arief Tobing, Immanuel DL. Tri Andrianto, Yoga Fathur Triyanto, Deni Utama, Putri Wahdiah Yahwardiah Siregar