Identifikasi Telur Ayam Fertil dan Infertil Melalui Citra Candling Menggunakan Algoritma Vision Transformer
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R. Nurlaili and B. U. Aulia, “Penentuan Lokasi Sentra Produksi Komoditas Telur Ayam Ras di Kabupaten Blitar,” Jurnal Teknik ITS, vol. 8, no. 2, Feb. 2020, doi: 10.12962/j23373539.v8i2.46980.
D. R. Siwi, R. H. Pratiwi, and S. Noer, “Analisa Kandungan Bakteri Salmonella sp. pada Telur Ayam dari Pasar Tradisional di Jakarta Selatan,” Bioscientist : Jurnal Ilmiah Biologi, vol. 11, no. 2, p. 1041, Dec. 2023, doi: 10.33394/bioscientist.v11i2.8375.
B. P. Suciati, L. Herlina, and S. Kuswaryan, “Manajemen Penetasan Telur Tetas Ayam Sentul (Studi Kasus di UPTD. Balai Pengem-bangan Perbibitan Ternak Unggas (BPPTU) Jatiwangi),” Jurnal Ilmiah Ilmu-Ilmu Peternakan, vol. 26, no. 2, pp. 80–88, Nov. 2023, doi: 10.22437/jiiip.v26i2.25954.
K. Assersohn, A. F. Marshall, F. Morland, P. Brekke, and N. Hemmings, “Why do eggs fail? Causes of hatching failure in threatened populations and consequences for conservation,” Aug. 01, 2021, John Wiley and Sons Inc. doi: 10.1111/acv.12674.
U. Usman, N. Kusrianty, S. Supamri, and N. Nilasari, “Pengaruh Pemberian Minyak Cengkeh Terhadap Daya Tetas dan Mortalitas Telur Itik,” JAGO TOLIS : Jurnal Agrokompleks Tolis, vol. 2, no. 1, p. 14, Jan. 2022, doi: 10.56630/jago.v2i1.185.
F. Fitriani, H. Husmimi, D. Masyitha, and M. Akmal, “Histologis Perkembangan Embrio Ayam pada Masa Inkubasi Satu sampai Tujuh Hari,” Jurnal Agripet, vol. 21, no. 1, Apr. 2021, doi: 10.17969/agripet.v21i1.18449.
K. K. Çevik, H. E. Koçer, and M. Boğa, “Deep Learning Based Egg Fertility Detection,” Vet Sci, vol. 9, no. 10, Oct. 2022, doi: 10.3390/vetsci9100574.
C. A. Hall, D. A. Potvin, and G. C. Conroy, “A new candling procedure for thick and opaque eggs and its application to avian conser-vation management,” Zoo Biol, vol. 42, no. 2, pp. 296–307, Mar. 2023, doi: 10.1002/zoo.21730.
M. R. Firdaus, “Penerapan Algoritma Convolutional Neural Network dalam Klasifikasi Telur Ayam Fertil dan Infertil Berdasarkan Hasil Candling,” Jurnal Informatika Universitas Pamulang, vol. 5, no. 4, p. 563, Dec. 2021, doi: 10.32493/informatika.v5i4.8556.
D. S. Prasvita, M. M. Santoni, R. Wirawan, and N. Trihastuti, “KLASIFIKASI POHON KELAPA SAWIT PADA DATA FUSI CITRA LIDAR DAN FOTO UDARA MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK,” JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), vol. 6, no. 2, pp. 406–415, Dec. 2021, doi: 10.29100/jipi.v6i2.2437.
A. Dosovitskiy et al., “An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,” Oct. 2020, [Online]. Availa-ble: http://arxiv.org/abs/2010.11929
C. K. Tan, K. M. Lim, R. K. Y. Chang, C. P. Lee, and A. Alqahtani, “HGR-ViT: Hand Gesture Recognition with Vision Transformer,” Sensors, vol. 23, no. 12, p. 5555, Jun. 2023, doi: 10.3390/s23125555.
S. Aladhadh, M. Alsanea, M. Aloraini, T. Khan, S. Habib, and M. Islam, “An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer,” Sensors, vol. 22, no. 11, Jun. 2022, doi: 10.3390/s22114008.
A. Pangestu, B. Purnama, and R. Risnandar, “Vision Transformer untuk Klasifikasi Kematangan Pisang,” Jurnal Teknologi Informasi dan Ilmu Komputer, vol. 11, no. 1, pp. 75–84, Feb. 2024, doi: 10.25126/jtiik.20241117389.
S. Saifullah et al., “Nondestructive Chicken Egg Fertility Detection Using CNN-Transfer Learning Algorithms,” Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI), vol. 9, no. 3, pp. 854–871, 2023, doi: 10.26555/jiteki.v9i3.26722.
S. Saifullah and A. P. Suryotomo, “Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction,” ILKOM Jurnal Ilmiah, vol. 13, no. 3, pp. 285–293, Dec. 2021, doi: 10.33096/ilkom.v13i3.937.285-293.
S. Saifullah, “Segmentasi Citra Menggunakan Metode Watershed Transform Berdasarkan Image Enhancement Dalam Mendeteksi Embrio Telur,” Systemic: Information System and Informatics Journal, vol. 5, no. 2, pp. 53–60, Mar. 2020, doi: 10.29080/systemic.v5i2.798.
M. Opoku, B. A. Weyori, A. F. Adekoya, and K. Adu, “CLAHE-CapsNet: Efficient retina optical coherence tomography classification using capsule networks with contrast limited adaptive histogram equalization,” PLoS One, vol. 18, no. 11 November, Nov. 2023, doi: 10.1371/journal.pone.0288663.
S. Sanagavarapu, S. Sridhar, and T. V. Gopal, “COVID-19 Identification in CLAHE Enhanced CT scans with class imbalance using ensembled ResNets,” in 2021 IEEE International IOT, Electronics and Mechatronics Conference, IEMTRONICS 2021 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Apr. 2021. doi: 10.1109/IEMTRONICS52119.2021.9422556.
D. Setyawan, A. Wuryandari, and R. A. Wibowo, “PENINGKATAN KUALITAS CITRA MALARIA MENGGUNAKAN METODE CONTRAST ENHANCEMENT BERBASIS HISTOGRAM,” Jurnal Informatika dan Komputer) Akreditasi KEMENRISTEKDIKTI, vol. 5, no. 3, 2022, doi: 10.33387/jiko.
E. Park, S. Lohumi, and B. K. Cho, “Line-scan imaging analysis for rapid viability evaluation of white-fertilized-egg embryos,” Sens Actuators B Chem, vol. 281, pp. 204–211, Feb. 2019, doi: 10.1016/J.SNB.2018.10.109.
J. Sanjaya and M. Ayub, “Augmentasi Data Pengenalan Citra Mobil Menggunakan Pendekatan Random Crop, Rotate, dan Mixup,” Jurnal Teknik Informatika dan Sistem Informasi, vol. 6, no. 2, Aug. 2020, doi: 10.28932/jutisi.v6i2.2688.
Q. Zheng, M. Yang, X. Tian, N. Jiang, and D. Wang, “A full stage data augmentation method in deep convolutional neural network for natural image classification,” Discrete Dyn Nat Soc, vol. 2020, 2020, doi: 10.1155/2020/4706576.
M. R. A. Yudianto, K. Kusrini, and H. Al Fatta, “Analisis Pengaruh Tingkat Akurasi Klasifikasi Citra Wayang dengan Algoritma Con-volitional Neural Network,” Jurnal Teknologi Informasi, vol. 4, no. 2, pp. 182–191, Dec. 2020, doi: 10.36294/jurti.v4i2.1319.
R. Uthama, Yuhandri, and Billy Hendrik, “Vision Transformer untuk Identifikasi 15 Variasi Citra Ikan Koi,” Jurnal CoSciTech (Com-puter Science and Information Technology), vol. 5, no. 1, pp. 159–168, May 2024, doi: 10.37859/coscitech.v5i1.6711.
S. Asy Syifa and I. Amelia Dewi, “Arsitektur Resnet-152 dengan Perbandingan Optimizer Adam dan RMSProp untuk Mendeteksi Penyakit Paru-Paru,” Journal MIND Journal | ISSN, vol. 7, no. 2, pp. 139–150, 2022, doi: 10.26760/mindjournal.v7i2.139-150.
M. Heydarian, T. E. Doyle, and R. Samavi, “MLCM: Multi-Label Confusion Matrix,” IEEE Access, vol. 10, pp. 19083–19095, 2022, doi: 10.1109/ACCESS.2022.3151048.
M. Azhari, Z. Situmorang, and R. Rosnelly, “Perbandingan Akurasi, Recall, dan Presisi Klasifikasi pada Algoritma C4.5, Random Forest, SVM dan Naive Bayes,” JURNAL MEDIA INFORMATIKA BUDIDARMA, vol. 5, no. 2, p. 640, Apr. 2021, doi: 10.30865/mib.v5i2.2937.
N. L. W. S. R. Ginantra, C. P. Yanti, G. D. Prasetya, I. B. G. Sarasvananda, and I. K. A. G. Wiguna, “Analisis Sentimen Ulasan Villa di Ubud Menggunakan Metode Naive Bayes, Decision Tree, dan K-NN,” Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), vol. 11, no. 3, pp. 205–215, Dec. 2022, doi: 10.23887/janapati.v11i3.49450.
K. Kristiawan and A. Widjaja, “Perbandingan Algoritma Machine Learning dalam Menilai Sebuah Lokasi Toko Ritel,” Jurnal Teknik Informatika dan Sistem Informasi, vol. 7, no. 1, Apr. 2021, doi: 10.28932/jutisi.v7i1.3182.