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All Journal Journal of Development Research JOURNAL OF APPLIED INFORMATICS AND COMPUTING J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Teknimedia: Teknologi Informasi dan Multimedia Jurnal Abdi Masyarakat Indonesia SOROT: Jurnal Pengabdian Kepada Masyarakat Teknova : Jurnal Pengabdian Masyarakat
Much Chafid
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Public Health Social Sciences Other

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Journal : journal of applied informatics and computing

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Convolutional Neural Network-Based Approach For In-Ovo Embryo Classification Khoironi Khoironi; Ibram Maulana Akhsanul Qasasi; Ahmad Khairul Umam; Much Chafid; Ahmad Walid Hujairi; I Wayan Rangga Pinastawa; Musthofa Galih Pradana
Journal of Applied Informatics and Computing Vol. 10 No. 4 (2026): August 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i4.13752

Abstract

The egg hatching process is a crucial stage in chicken breeding, as the quality of the resulting embryos will greatly determine the productivity and success of the cultivation. However, monitoring the internal condition of eggs during incubation is still limited and is generally done manually using the candling method. Therefore, a non-invasive approach is needed to support the process of monitoring embryo development. This study aims to develop a chicken embryo classification system based on in-ovo images using a Convolutional Neural Network (CNN). This system utilizes internal egg images taken with a camera integrated in the incubator, so that the condition of the eggs can be automatically classified into categories of fertile, infertile, and developmental failure. The research stages include collecting in-ovo image data, preprocessing in the form of removing the background using the rembg library, and resizing the images to 224 × 224 pixels. The dataset was then divided into training data and test data with a ratio of 90%:10%. The CNN model was built with several layers, namely convolution, max pooling, dropout, flattening, and fully connected, then trained for 28 epochs with a batch size of 32. The results showed that the developed CNN model was able to achieve an accuracy of 90.5% in the 24th epoch and experienced a decrease in the 26th to 28th epochs. Testing also used images from different incubators than those used from the dataset showed that the model could classify egg conditions well.
Co-Authors Abdul Syukur Aditama, Darmawan Affandy Affandy Agung Teguh Setyadi Agung Teguh Setyadi Agus Fahruddin Agus Fahruddin Agus Wibowo Ahmad Khairul Umam Ahmad Walid Hujairi Ahmad Walid Hujairi Ahmed David Anugerah Amma Liesvarastranta Haz Amma Liesvarastranta Haz Aninda Rahmawati Aprileo Muhammad David Erlangga Arif Basofi Arif Basofi Arna Fariza Artiarini Kusuma Nurindiyani Bagas Firhanudin Basofi, Arif Birrul Walidaini Darmawan Aditama Darmawan Aditama Darmawan Aditama Dewi Fajrianti, Evianita Dinda Heidiyuan Agustalita Dita Aulia Rahma Ega Surya Saputra Ervina Yuniati Rokhmah Eskaluspita, Pratama Evianita Dewi Fajrianti Evianita Dewi Fajrianti Fahruddin, Agus Faradisa, Rosiyah Fardani Annisa Damastuti Fardani Annisa Damastuti I Wayan Rangga Pinastawa Ibram Maulana Akhsanul Qasasi Ikawati, Yunia Imam Junaidi Irma Wulandari Jauari Akhmad Nur Hasim Khoironi Khoironi Khoironi Khoironi Khozinatus Sadah Khozinatus Sadah Liesvarastranta Haz, Amma M. Andrean Jauhari Zuki Mawaddah, Saniyatul Medya Mahardhika, Yesta Moch Arief Soeleman Moch. Robihul Mufid Mohammad Robihul Mufid Mohammad Robihul Mufid Mufid, Mohammad Robihul Mufid, Mohammad Robihul Muhammad Dava Deril Yovansyah Muhammad David Erlangga, Aprileo Muhammad Robihul Mufid Muhammad Turmudzi Musthofa Galih Pradana Novita Putri Novita Putri Lestari Nur Syaela Majid Pratama Ekaluspita Putri Lestari, Novita Risalatun Nuriyah Riski Dwi Prameswari Risma Ayu Damayanti Rosiyah Faradisa Rosyida Sadza Afifah Sadah, Khozinatus Salsabil Tsabita An Nabilah Saniyatul Mawaddah Saniyatul Mawaddah Shintia Dewi Rahmawati Silvi Maf’ul Sa’diyah Sri Ayu Darwani Surya Saputra, Ega Suyanto Teguh Setyadi, Agung Yesta Medya Mahardhika Yogi Pratama Yunia Ikawati Yunia Ikawati Yunia Ikiawati Yusuf Afandi Zulfian Nafis