Product Sorting System In Checker Sorting Process Using The Template Matching Method
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Abstract
In supporting the production activities of a company, an infrastructure unit is needed that is capable of supporting the production activities of a company. Several companies that produce animal feed and processed food have problems related to the failure of the sorting process. The sorting process for checking packaged products is still carried out by human power, so errors often occur due to human negligence in sorting packaged products. Therefore a tool is designed to sort automatically and be able to distinguish differences from packaged products using image processing with the Template Matching method. Then, proceed with looking for accurate calculations using the Template Matching algorithm, which will help detect differences between packaging products A and B. The technique used in the method is the calculation of values using greyscale imagery and image segmentation with ten trials based on the labels on the template features used. After testing, the best accuracy results, namely 59% obtained on image segmentation
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Copyright (c) 2022 Joko Priambodo; Fauzi Imaduddin Adhim; Enny Indasyah
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References
N. M. Hudan, N. Ulum and S. Adinugroho, "Implementasi Metode Template Matching Untuk Mengenali Nilai Angka Pada Citra Uang Kertas," Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer , pp. 1550-1556, 2019.
A. G. Pauzi, Warsito, S. W. Suciyati and Sahtoni, "Analisis Pemanfaatan Teknik Template Matching pada Sistem," JURNAL Teori dan Aplikasi Fisika, pp. 95-102, 2013.
B. Sugandi and S. Dewi, "Sistem Inspeksi Kecacatan pada Kaleng," Jurnal Ilmu Komputer dan Informatika, vol. IV, pp. 124-130, 2018.
M. C. Solin, G. Ginting and M. J. F.S., "Penerapan Metode Template Matching Pada Citra Berwarna," Jurnal Pelita Informatika, vol. 7, pp. 310-312, 2019.
A. P.N. and S. T., "Pengolahan Citra Digital," 2017. [Online]. Available: http://books.google.co.id. [Accessed 5 Desember 2021].
admin, "Mengubah Citra RGB Menjadi Citra Grayscale di Python," 6 Mei 2020. [Online]. Available: https://www.inpows.com/python/mengubah-citra-rgb-menjadi-citra-grayscale-di-python/. [Accessed 15 Desember 2021].
admin, "Memahami Segmentation, Targeting, dan Positioning Produk dalam Bisnis," 17 April 2019. [Online]. Available: https://www.xendit.co/id/blog/memahami-segmentation-targeting-dan-positioning-produk-dalam-bisnis/. [Accessed 15 Desember 2021].
admin, "What is a Confusion Matrix in Machine Learning," 15 Agustus 2020. [Online]. Available: https://machinelearningmastery.com/confusion-matrixmachinelearning