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References
- R. Andarsyah and M. H. K Saputra, “Perancangan Aplikasi Digital Untuk Mencatat Data Tamu Menggunakan Arduino Uno Dan Near Field Communication (Nfc) (Studi Kasus Humas & Rekrutmen Politeknik Pos Indonesia),†Competitive, vol. 15, no. 1, 2020, doi: 10.36618/competitive.v15i1.685.
- F. M. Rusli, K. A. Adhiguna, and H. Irawan, “Indonesian ID Card Extractor Using Optical Character Recognition and Natural Language Post-Processing,†2021. doi: 10.1109/ICoICT52021.2021.9527510.
- A. Patil, “Optical Character Recognition Implementation using Pattern Matching,†Int. J. Res. Appl. Sci. Eng. Technol., vol. 7, no. 8, 2019, doi: 10.22214/ijraset.2019.8155.
- Arikunto et al., “Metode Penelitian Kuantitatif, Kualitatif, dan R&D,†J. Sci. Teacher Educ., vol. 3, no. 2, 2017.
- M. Mehdizadeh, C. MacNish, D. Xiao, D. Alonso-Caneiro, J. Kugelman, and M. Bennamoun, “Deep feature loss to denoise OCT images using deep neural networks,†J. Biomed. Opt., vol. 26, no. 04, Apr. 2021, doi: 10.1117/1.jbo.26.4.046003.
- G. Eraslan, L. M. Simon, M. Mircea, N. S. Mueller, and F. J. Theis, “Single-cell RNA-seq denoising using a deep count autoencoder,†Nat. Commun., vol. 10, no. 1, 2019, doi: 10.1038/s41467-018-07931-2.
- F. Zamora-Martinez, S. España-Boquera, and M. J. Castro-Bleda, “Behaviour-based Clustering of Neural Networks applied to Document Enhancement, in: Computational and Ambient Intelligence, pages 144-151, Springer, 2007.†https://archive.ics.uci.edu/ml/datasets/NoisyOffice (accessed Jul. 06, 2022).
- R. C. Gerum et al., “CameraTransform: A Python package for perspective corrections and image mapping,†SoftwareX, vol. 10, 2019, doi: 10.1016/j.softx.2019.100333.
- A. Buades, B. Coll, and J. M. Morel, “A non-local algorithm for image denoising,†in Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 2005, vol. II. doi: 10.1109/CVPR.2005.38.
- B. P. Pratama and S. A. Pamungkas, “Analisis Kinerja Algoritma Levenshtein Distance dalam Mendeteksi Kemiripan Dokumen Teks,†J. “LOG!K@,†vol. 6, no. 2, 2016.
- “KEMENDAGRI R.I.†https://www.kemendagri.go.id/arsip/detail/10857/keputusan-menteri-dalam-negeri-nomor-050145-tahun-2022-tentang-pemberian-kode-data-wilayah-administrasi-pemerintahan-dan-pulau-tahun-2021 (accessed Jul. 06, 2022).
References
R. Andarsyah and M. H. K Saputra, “Perancangan Aplikasi Digital Untuk Mencatat Data Tamu Menggunakan Arduino Uno Dan Near Field Communication (Nfc) (Studi Kasus Humas & Rekrutmen Politeknik Pos Indonesia),†Competitive, vol. 15, no. 1, 2020, doi: 10.36618/competitive.v15i1.685.
F. M. Rusli, K. A. Adhiguna, and H. Irawan, “Indonesian ID Card Extractor Using Optical Character Recognition and Natural Language Post-Processing,†2021. doi: 10.1109/ICoICT52021.2021.9527510.
A. Patil, “Optical Character Recognition Implementation using Pattern Matching,†Int. J. Res. Appl. Sci. Eng. Technol., vol. 7, no. 8, 2019, doi: 10.22214/ijraset.2019.8155.
Arikunto et al., “Metode Penelitian Kuantitatif, Kualitatif, dan R&D,†J. Sci. Teacher Educ., vol. 3, no. 2, 2017.
M. Mehdizadeh, C. MacNish, D. Xiao, D. Alonso-Caneiro, J. Kugelman, and M. Bennamoun, “Deep feature loss to denoise OCT images using deep neural networks,†J. Biomed. Opt., vol. 26, no. 04, Apr. 2021, doi: 10.1117/1.jbo.26.4.046003.
G. Eraslan, L. M. Simon, M. Mircea, N. S. Mueller, and F. J. Theis, “Single-cell RNA-seq denoising using a deep count autoencoder,†Nat. Commun., vol. 10, no. 1, 2019, doi: 10.1038/s41467-018-07931-2.
F. Zamora-Martinez, S. España-Boquera, and M. J. Castro-Bleda, “Behaviour-based Clustering of Neural Networks applied to Document Enhancement, in: Computational and Ambient Intelligence, pages 144-151, Springer, 2007.†https://archive.ics.uci.edu/ml/datasets/NoisyOffice (accessed Jul. 06, 2022).
R. C. Gerum et al., “CameraTransform: A Python package for perspective corrections and image mapping,†SoftwareX, vol. 10, 2019, doi: 10.1016/j.softx.2019.100333.
A. Buades, B. Coll, and J. M. Morel, “A non-local algorithm for image denoising,†in Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005, 2005, vol. II. doi: 10.1109/CVPR.2005.38.
B. P. Pratama and S. A. Pamungkas, “Analisis Kinerja Algoritma Levenshtein Distance dalam Mendeteksi Kemiripan Dokumen Teks,†J. “LOG!K@,†vol. 6, no. 2, 2016.
“KEMENDAGRI R.I.†https://www.kemendagri.go.id/arsip/detail/10857/keputusan-menteri-dalam-negeri-nomor-050145-tahun-2022-tentang-pemberian-kode-data-wilayah-administrasi-pemerintahan-dan-pulau-tahun-2021 (accessed Jul. 06, 2022).