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Journal : JOIV : International Journal on Informatics Visualization

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 Abdurohim Abdurohim, Abdurohim Aldy Rialdy Atmadja Amam, Amam Amin, Mohammad Badrudin Amiruddin Dg. Malewa Andi Hiroyuki Andri Zarman, Andri Andriyan, Acep Razif Angelyna, Angelyna Anggreni, Ni Gusti Ayu Beki Subaeki, Fatkhan Gunawan, Aldy Rialdy Atmadja, Beki Budianda, Sherly Indria Cahya, Nurul Dwi Cecep Nurul Alam, Cecep Nurul Chaidir, John Dahlan, Maharani M. Deny Wiria Nugraha Desmiza, Desmiza Diningrat, Sriwulan Cakrawati Dwi Agustian Dwi Wijaya, Kadek Agus Eka Yulianti Eko Supraptono Elok Rosyidah Esi Fitriani Komara, Esi Fitriani Fadila, Nurul Ferikawita M. Sembiring Firdaus, Imam Ghea Revina Wigantini Haerofiatna Hajra Rasmita Ngemba Hamid, Odai Amer Hidayattullah, Ardhana Luthfi Humolungo, Nurlela H. Ian Septiana, Ian Ilham Nurjaman, Ilham Iskandar, Ibrahim Jumadi Jumadi Juwita Meldasari Tebisi, Juwita Meldasari Katrina Feby Lestari Khumaedi, Muhammmad Kurniawan, Galang Wahid Lustinasari, Kholisah Mardani Mardani Maskunatin, Iva Maulita, Miftahul Maylawati, Maylawati Mohammad Ismail Muhammad Hamdani, Muhammad Mustafa Mutrofin Mutrofin Nirwana, Nirwana Nouval Trezandy Lapatta Nur Lukman NurRohman, Alfian Paramita, Veronika Santi Raivandy, I Made Randhy Ramli, Rosmini Rizka Ardiansyah Rosihon Anwar, Rosihon Said Sunardiyo Sanjaya, Komang Sa’adillah, Dian Simatupang, Frido Saritua Sintiawati, Ni Wayan Sirajuddin Abdullah Sonhaji Sonhaji Sudiari, Ni Made Dwi Susyani, Novi Syahrir Syahrir Syahrullah Syahrullah Syaiful Hendra Tri Lestari, Sinta Tukiman Tukiman Undang Syaripudin, Undang Vidya Urbaningrum Urbaningrum Walili, Marzelina Wildan Budiawan Zulfikar Wisnu Uriawan, Wisnu Yana Aditia Gerhana, Yana Aditia Yeri Sutopo Yudi Mujayin Zainal Zainal