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Journal : Applied Science and Technology Research Journal

Determination Of Freshwater Consumption Fish Diseases Using Artificial Neural Network Methods Apriyanto, Bagas; Riyadi, Ahmad; Kusuma Wardana, Ari; Nasrun Mohd Nawi, Mohd
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 1 (2024): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v3i1.6217

Abstract

Artificial Neural Network (ANN) is a branch of Artificial Intelligence (AI) that uses neuron-based computational methods to identify and solve problems. In this study, we tried to use ANN to identify diseases of freshwater fish commonly consumed by the public, using one of the ANN methods, namely backpropagation. This research produces a website-based system that uses the backpropagation Neural Network method so that it can be used to help freshwater fish breeders or cultivators identify fish diseases that are kept more accurately than conventional methods. In addition, it is hoped that this system can anticipate more severe infections in fish belonging to cultivators. The results of system testing show that regarding the appearance of the system, 38.5% of respondents answered that the design was beautiful, related to the ease of use of the system, 46.2% of respondents answered that the approach was straightforward to use, regarding the performance of the system 53.8% of respondents answered that the system performance was excellent. Regarding the system's benefits, 76.9% of respondents answered that the system was beneficial
Determination Of Freshwater Consumption Fish Diseases Using Artificial Neural Network Methods Apriyanto, Bagas; Riyadi, Ahmad; Kusuma Wardana, Ari; Nasrun Mohd Nawi, Mohd
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 3 No. 1 (2024): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v3i1.6217

Abstract

Artificial Neural Network (ANN) is a branch of Artificial Intelligence (AI) that uses neuron-based computational methods to identify and solve problems. In this study, we tried to use ANN to identify diseases of freshwater fish commonly consumed by the public, using one of the ANN methods, namely backpropagation. This research produces a website-based system that uses the backpropagation Neural Network method so that it can be used to help freshwater fish breeders or cultivators identify fish diseases that are kept more accurately than conventional methods. In addition, it is hoped that this system can anticipate more severe infections in fish belonging to cultivators. The results of system testing show that regarding the appearance of the system, 38.5% of respondents answered that the design was beautiful, related to the ease of use of the system, 46.2% of respondents answered that the approach was straightforward to use, regarding the performance of the system 53.8% of respondents answered that the system performance was excellent. Regarding the system's benefits, 76.9% of respondents answered that the system was beneficial
Co-Authors . Suparjo, . A. Ogotan, Arianti Abdillah, Annas Nur Achmad Noerkhaerin Putra Agil, Muhamad Akmalia, Riski Akrom, Maulana Ambami, Neneng Syaripah Amelia, Yulistia Intan Amiruddin Siahaan Apriyanto, Bagas Asiyah, Asiyah Astuti, Maya Ayuni, Aulia Qurotul Azzahra Lubis, Fatimah Barnamij, Najhah Cahyani, Indah Tri darwis darwis, darwis Deti, Seri Mesi Murnila Dwi Putri, Fauziah Dwi Setyaningsih Dwi Wulandari, Faizah Eka Rihan K, Eka Fadilah, Aisyah Fa’iq, Mohamad Ghani, M. ABD Hasanah Hasanah Hastono, Tri Heryawan, Lukman Imroh Atul Musfiroh Islamiati, Siti Hadiyati Dini Joanda, Ivan Rahmat Joupy G Z Mambu Juwartina Ida Royani, Juwartina Ida Khoiri, M Khoiri, M. Khojir Kurniadi, Rahmad Kusuma Wardana, Ari Leny Prihastuti Lestari, Nurul Indah Maulana, Antan Noraidi Miftahul Ilmi, Miftahul Miftahul Jannah Muchamad Rifki Muhaimin Hamzah Muhammad Andriansyah, Muhammad Muhammad Nur Muhammad Nur Muhammad Rezza Nur Rahman Muskita, Wellem H. Mustari, Ozy Muttaqin, Katiko Imamul Nadisah, Sylvania Nasnawati, Nasnawati Nasrun Mohd Nawi, Mohd Nur Fitriana Nur Rokhman Nurwati Nurwati Qodri, Laila Rahayu, Umi Margi Raihan Raihan, Raihan Ramadani, M. Rifki Ramadhan, Muhammad Basith Riza, Fikri Rizki Amelia Rosita, Nor RR. Ella Evrita Hestiandari Sahrul, Sahrul Saputra, Muhamad Rendy Saputri, Saputri Sari, Liani Setiawati, Yanti Hasbian Siregar, Chikadetry Syalomita Siti Khatijah SITI MARYAM Siti Maulidah Sri Endang Windiarti Sri Herianingrum Sri Wahyuni Suaib, Sri Olawati Sulistyo Atmadi Syah, Firdiyan Syahidi, Aulia Akhrian SYOFI ROSMALAWATI Tangdilintin, Annisa Muliani Teuku Tajuddin Trimusqirfa, Niken Ayu Ulfain, Ulfain UMMAH, KHURUL AIMMATUL Wellem H. Muskita Widiyanto, S.Y. Didik Widodo Widodo Wildan Saugi Wulandari, Listi Wulandari, Via Febri Zega, Aldika Putra