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References
- F. Ciptadi, “Textile Product Design Made of Kenaf Fibre Grade-C,†Costume Cult. Assoc. 2014 Int. Text. Costume Cult. Congr. (CCA Ars Textrina, 2014.
- F. Ciptadi, K. Kahdar, and A. Sachari, “Quality Improvement of Raw Material of Natural Fibre Preparation using Pectinase Enzyme Case Study: The Harvest of Kenaf Fibre in Laren District, Lamongan Regency, East Java,†J. Chem. Mater. Res., vol. 6, no. 10, 2014.
- A. B. Hapidh, “Eksplorasi Serat Kenaf sebagai Aplikasi Produk Fashion Aksesoris,†Bandung, 17.04.1944, 2017.
- Miyagawa and Tranggono, “Kebutuhan Serat Kenaf Sebagai Bahan Baku Industri PT TBINA,†in Seminar Nasional Serat Alam Serat Alam Inovasi Teknologi Serat Alam Mendukung Agroindustri yang Berkelanjutan, 2015, pp. 54–59, [Online]. Available: http://pustaka.litbang.pertanian.go.id/publikasi/wr244026.pdf.
- T. H. Saragih, D. M. N. Fajri, A. Hamdianah, W. F. Mahmudy, and Y. P. Anggodo, “Jatropha curcas disease identification using Fuzzy Neural Network,†in 2017 International Conference on Sustainable Information Engineering and Technology (SIET), Nov. 2017, pp. 305–309, doi: 10.1109/SIET.2017.8304153.
- D. M. N. Fajri, T. H. Saragih, A. Hamdianah, W. F. Mahmudy, and Y. P. Anggodo, “Optimized fuzzy neural network for Jatropha Curcas plant disease identification,†in 2017 International Conference on Sustainable Information Engineering and Technology (SIET), Nov. 2017, pp. 297–304, doi: 10.1109/SIET.2017.8304152.
- I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. MIT Press, 2016.
- Y. Lecun and K. Kavukcuoglu, “Convolutional Networks and Applications in Vision,†in Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010, pp. 253–256.
- T. Treebupachatsakul and S. Poomrittigul, “Bacteria Classification using Image Processing and Deep learning,†2019 34th Int. Tech. Conf. Circuits/Systems, Comput. Commun., pp. 2–4, 2019.
- Y. Bar, I. Diamant, L. Wolf, S. Lieberman, E. Konen, and H. Greenspan, “Chest Pathology Detection Using Deep Learning with Non-Medical Training,†2015 IEEE 12th Int. Symp. Biomed. Imaging, pp. 294–297, 2015.
- H. Jeelani, J. Martin, F. Vasquez, M. Salerno, and D. S. Weller, “Image Quality Affects Deep Learning Reconstruction of MRI,†2018 IEEE 15th Int. Symp. Biomed. Imaging (ISBI 2018), pp. 357–360, 2018.
- D. Learning and F. C. Terrorism, “Font and Turkish Letter Recognition in Images with Deep Learning,†2018 Int. Congr. Big Data, Deep Learn. Fight. Cyber Terror., pp. 3–4, 2018.
- M. Qamal, “Klasifikasi Usia Menggunakan Ciri Orde Dua,†TECHSI J. Penelit. Inform., vol. 5, no. 2, 2013.
- Y. Lecun, L. Bottou, Y. Bengjo, and P. Haffnerr, “Gradient-Based Learning Applied to Document Recognition,†Proc. IEEE, vol. 86, no. 11, pp. 2278–2324, 1998.
- U. S. Budi, “Biologi Tanaman Kenaf,†in Monograf Balittas: Kenaf (Hibiscus cannabinus L.), Balai Penelitian Tanaman Pemanis dan Serat, 2009, pp. 6–7.
- T. Yulianti and Supriyono, “Penyakit Tanaman Kenaf dan Pengendaliannya,†in Monograf Balittas: Kenaf (Hibiscus cannabinus L.), 2009, p. 107.
- K. Simonyan and A. Zisserman, “Very Deep Convolutional Networks for Large Scale Image Recognition,†3rd Int. Conf. Learn. Represent., pp. 1–14, 2015.
References
F. Ciptadi, “Textile Product Design Made of Kenaf Fibre Grade-C,†Costume Cult. Assoc. 2014 Int. Text. Costume Cult. Congr. (CCA Ars Textrina, 2014.
F. Ciptadi, K. Kahdar, and A. Sachari, “Quality Improvement of Raw Material of Natural Fibre Preparation using Pectinase Enzyme Case Study: The Harvest of Kenaf Fibre in Laren District, Lamongan Regency, East Java,†J. Chem. Mater. Res., vol. 6, no. 10, 2014.
A. B. Hapidh, “Eksplorasi Serat Kenaf sebagai Aplikasi Produk Fashion Aksesoris,†Bandung, 17.04.1944, 2017.
Miyagawa and Tranggono, “Kebutuhan Serat Kenaf Sebagai Bahan Baku Industri PT TBINA,†in Seminar Nasional Serat Alam Serat Alam Inovasi Teknologi Serat Alam Mendukung Agroindustri yang Berkelanjutan, 2015, pp. 54–59, [Online]. Available: http://pustaka.litbang.pertanian.go.id/publikasi/wr244026.pdf.
T. H. Saragih, D. M. N. Fajri, A. Hamdianah, W. F. Mahmudy, and Y. P. Anggodo, “Jatropha curcas disease identification using Fuzzy Neural Network,†in 2017 International Conference on Sustainable Information Engineering and Technology (SIET), Nov. 2017, pp. 305–309, doi: 10.1109/SIET.2017.8304153.
D. M. N. Fajri, T. H. Saragih, A. Hamdianah, W. F. Mahmudy, and Y. P. Anggodo, “Optimized fuzzy neural network for Jatropha Curcas plant disease identification,†in 2017 International Conference on Sustainable Information Engineering and Technology (SIET), Nov. 2017, pp. 297–304, doi: 10.1109/SIET.2017.8304152.
I. Goodfellow, Y. Bengio, and A. Courville, Deep Learning. MIT Press, 2016.
Y. Lecun and K. Kavukcuoglu, “Convolutional Networks and Applications in Vision,†in Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010, pp. 253–256.
T. Treebupachatsakul and S. Poomrittigul, “Bacteria Classification using Image Processing and Deep learning,†2019 34th Int. Tech. Conf. Circuits/Systems, Comput. Commun., pp. 2–4, 2019.
Y. Bar, I. Diamant, L. Wolf, S. Lieberman, E. Konen, and H. Greenspan, “Chest Pathology Detection Using Deep Learning with Non-Medical Training,†2015 IEEE 12th Int. Symp. Biomed. Imaging, pp. 294–297, 2015.
H. Jeelani, J. Martin, F. Vasquez, M. Salerno, and D. S. Weller, “Image Quality Affects Deep Learning Reconstruction of MRI,†2018 IEEE 15th Int. Symp. Biomed. Imaging (ISBI 2018), pp. 357–360, 2018.
D. Learning and F. C. Terrorism, “Font and Turkish Letter Recognition in Images with Deep Learning,†2018 Int. Congr. Big Data, Deep Learn. Fight. Cyber Terror., pp. 3–4, 2018.
M. Qamal, “Klasifikasi Usia Menggunakan Ciri Orde Dua,†TECHSI J. Penelit. Inform., vol. 5, no. 2, 2013.
Y. Lecun, L. Bottou, Y. Bengjo, and P. Haffnerr, “Gradient-Based Learning Applied to Document Recognition,†Proc. IEEE, vol. 86, no. 11, pp. 2278–2324, 1998.
U. S. Budi, “Biologi Tanaman Kenaf,†in Monograf Balittas: Kenaf (Hibiscus cannabinus L.), Balai Penelitian Tanaman Pemanis dan Serat, 2009, pp. 6–7.
T. Yulianti and Supriyono, “Penyakit Tanaman Kenaf dan Pengendaliannya,†in Monograf Balittas: Kenaf (Hibiscus cannabinus L.), 2009, p. 107.
K. Simonyan and A. Zisserman, “Very Deep Convolutional Networks for Large Scale Image Recognition,†3rd Int. Conf. Learn. Represent., pp. 1–14, 2015.