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All Journal ITEj (Information Technology Engineering Journals) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika International Journal of Engineering, Science and Information Technology JURNAL ILMIAH GLOBAL EDUCATION Journal of Renewable Energy, Electrical, and Computer Engineering TECHSI - Jurnal Teknik Informatika Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Teknologi Terapan and Sains 4.0 Buletin Pengabdian Jurnal Malikussaleh Mengabdi Journal of Advanced Computer Knowledge and Algorithms INOVTEK Polbeng - Seri Informatika
Fuadi, Wahyu
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Journal : METHOMIKA: Jurnal Manajemen Informatika

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Sistem Pendeteksi Tingkat Kesegaran Daging Ayam pada Citra Menggunakan Metode Convolutional Neural Network (CNN) Berbasis Android Naturizal, Rayhan; Fuadi, Wahyu; Rosnita, Lidya
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp301-312

Abstract

This research develops a chicken meat freshness detection system based on image processing, implemented on an Android platform using the Convolutional Neural Network (CNN) method optimized with TensorFlow Lite. The system classifies chicken meat into three categories: fresh, less fresh, and rotten. The CNN model uses 32 filters to enhance feature extraction from the meat images. Testing on 30 samples, with each category tested 10 times, showed an accuracy of 90%, with 27 correct detections and 3 errors in the less fresh category. While the system effectively identifies fresh and rotten categories, there is a challenge in distinguishing the less fresh category due to its ambiguous visual characteristics. One limitation is the lack of a bounding box, causing the application to still provide detection results even when the scanned object is not chicken meat. This application is specifically designed to detect chicken meat pieces, so it is not recommended for use outside this context.
Co-Authors Aidilof, Hafizh Al Kautsar Akbar, Andry Maulana amri, maulana Andik Bintoro Angga Pratama Aqsa, Dina Alfini Asran Asran Badriana, Badriana Bakhtiar Bakhtiar Cut Ita Erliana Dedi Fariadi Eva Ayuzar, Eva Eva Darnila Fadlisyah Fadlisyah Fajar, Kasihan Muhammad Fajriana, Fajriana Halimatun Sakdiah, Halimatun Harahap, Lina Mardiana Irwanda Syahputra Irwansyah, Defi Jalila, Muhammad Mulkan Kamilaini, Kamilaini Karmawati Karmawati Kausar, M Reza Khairawati, K Kurniawati Kurniawati Lidya Rosnita Mahdaliana, Mahdaliana Marpaung, Rifky Firzani Maryana Maryana Maryana Maryana, Maryana MUHAMMAD TEGUH, MUHAMMAD Munawarah Munawarah, Munawarah Mutammimul Ula Mutia Zahara mutiara mutiara Naturizal, Rayhan Novita, Lilis Nunsina, Nunsina Pohan, Muhammad Wahyu Putri, Husna Moetia Rachmawati Rusydi, Rachmawati Rahma, Putri Rahmaniar, R Rahmawati M, Rahmawati Rahmawati, Rahmawati Ramazani, Ayu Razi, Ar Rini Meiyanti Risawandi, Risawandi RISKA YANTI, RISKA Riza, Saiful Rozzi Kesuma Dinata Saifuddin Muhammad Jalil Selamat Meliala Syintia, Icut Taufik, Nugraha Muhammad Teuku Multazam wandi, risa Yesy Afrillia Zahratul Fitri, Zahratul Zara Yunizar Zulfia, Anni