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All Journal Jurnal Algoritma JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JTT (Jurnal Teknologi Terpadu) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika EDUMATIC: Jurnal Pendidikan Informatika Building of Informatics, Technology and Science Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Bulletin of Computer Science Research Jurnal Algoritma Jurnal Pembelajaran, Bimbingan, dan Pengelolaan Pendidikan Journal of Law, Poliitic and Humanities SENTRI: Jurnal Riset Ilmiah Coreid Journal Jurnal Accounting Information System (AIMS) INTERNAL (Information System Journal) Integrated : Journal Of Information Technology and Vocational Education
Aldy Rialdy Atmadja
UIN Sunan Gunung Djati Bandung
Aerospace Engineering Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Journal : JOIV : International Journal on Informatics Visualization

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A Deep Learning Approach Using VGG16 to Classify Beef and Pork Images Zulfikar, Wildan Budiawan; Angelyna, Angelyna; Irfan, Mohamad; Atmadja, Aldy Rialdy; Jumadi, Jumadi
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.2848

Abstract

There are 87.2% of the Muslim population in Indonesia, which makes Indonesia one of the countries with the largest Muslim population in the world. As a Muslim, it is supposed to carry out and stay away from the commands that Allah SWT commands, one of which is in QS. Al-maidah:3, one of the commands in the verse is not to consume haram food such as pork. Even so, it turns out that many traders in Indonesia still cheat to get more significant profits, namely by counterfeiting beef and pork. The lack of public knowledge supports this situation to differentiate between the two types of meat. Therefore, the classification process is used to distinguish the two kinds of meat using the convolutional neural network approach with VGG16 with several preprocessing stages. Two primary stages are used during the preprocessing stage: scaling and contrast enhancement. The VGG16 algorithm gets very good results by getting an accuracy value of 99.6% of the test results using 4,500 images for training data and 500 images for testing data. To compare the effectiveness of these techniques, it is recommended to use alternative CNN architectures, such as mobilNet, ResNet, and GoogleNet. More investigation is also required to gather more varied datasets, enabling the ultimate goal to achieve the best possible categorization, even when using cell phone cameras or with dim or fuzzy photos.
Co-Authors Aaz Muhammad Hafidz Azis Abdullah Azzam Adawiyah, Ayuni Adilla Febrina Agung Wahana Agustin, Ilham Rizky Akhmad Anwar Dani Akhmad Anwar Dani Akmaliyah Akmaliyah Aldy Rialdy Atmadja Alfi Dawa Mumtaazy Amiq Angelyna, Angelyna Arif Zainudin Arkaan, Shabiq Ghazi Asep Erlan Maulana Asep Erlan Maulana Asep Rohimat Ayu Puji Rahayu Azis, Aaz Muhammad Hafidz Beki Subaeki, Fatkhan Gunawan, Aldy Rialdy Atmadja, Beki Busro, B. Cecep Nurul Alam, Cecep Nurul Dede Kurniadi Deden Suparman, Deden Dedi Rahman Nur Diena Rauda Ramdania Dini Destiani Siti Fatimah Dyka Afan Afthori Dzulfikar, Wildan Budiawan Eko Pramudya Laksana Eko Pramudya Laksana Fadlilah, Muhammad Furqon Firdaus, Muhammad Deden Fridayanti Fridayanti Hani Hamidah Hendar Riyadi Ian Septiana, Ian Ichsan Budiman Ichsan Taufik Ichsan Taufik, Ichsan Ikhwan Arief Iqbal, Arif Muhamad Irhamnillah, Sami Juliansyah, Roby Jumadi Jumadi Kartamanah, Fatih Fauzan Leni Fitriani Lucky Zamzami Lupi Krisrupianti Mochammad Tanzil Multazam Mochammad Tanzil Multazam Mohamad Irfan Mohamad Irfan, Mohamad Mohammad Fauziddin Much. Fuad Saifuddin Muh. Firyal Akbar Muh. Firyal Akbar Muhamad Farid Padilah Muhamad Fawaz Nurfauzan Muhamad Ratodi Muhamad Ratodi Muhammad Adam Dzulqarnain Muhammad Adi Nugraha Muhammad Dzulfi Muwaffaq Muhammad Fauzi Rachman Muhammad Luthfi Nadia Rohimah Nurfikri Habibulloh Padilah, Muhamad Farid Pamungkas, Arba Adhy Pasha, Muhammad Kemal Pebri Alkautsar Ratnasih, Teti Rifan Alamsyah Rifqi Syamsul Fuadi Roofiad, Ahmad Maulidi Sipa Almasik Sri Rahayu Sri Sulastri Utama Alan Deta Wildan Budiawan Zulfikar Wisnu Uriawan Wisnu Uriawan, Wisnu Yana Aditia Gerhana Yana Aditia Gerhana Yana Aditia Gerhana, Yana Aditia Yeni Pariyatin Yeni Pariyatin Yusro, Andista Candra Zanuar Ekaputra Rus’an