Pengolahan Data Buah Menggunakan Metode Deep Learning
DOI:
https://doi.org/10.25170/jurnalelektro.v15i1.5121Keywords:
Image Recognition, Data Processing, Deep Learning, Artificial IntelligenceAbstract
The use of artificial intelligence is increasingly widespread, one of which is in the use of detecting an object. In general, object detection is often used in tools that capture images such as cameras on cell phones or CCTV which is applied to e-tickets (electronic tickets). With deep learning technique in this article to detect fruit, it is hoped that it can be useful in everyday life such as a fruit sorting machine based on the level of maturity based on color or separating fruit from leaves in the fruit picking process.
References
M. Dahria, "Kecerdasan Buatan (Artificial Intelligence)," Jurnal Saintikom, vol. 5, no. 2, pp. 185-197, 2008.
P. A. Nugroho, I. Fenriana and R. Arjianto, "Implementasi Deep Learning Menggunakan Convolutional Neural Network ( CNN ) Pada Ekspresi Manusia," Jurnal ALGOR, vol. 2, no. 1, 2020.
MathWorks, "What Is Image Recognition? 3 things you need to know," MathWorks, [Online]. Available: https://www.mathworks.com/discovery/image-recognition-matlab.html. [Accessed 26 4 2021].
S. Saha, "A Comprehensive Guide to Convolutional Neural Networks — the ELI5 way," Medium, 16 12 2018. [Online]. Available: https://towardsdatascience.com/a-comprehensive-guide-to- convolutional-neural-networks-the-eli5-way-3bd2b1164a53. [Accessed 26 4 2021].
S. DERWIN, "Dasar Pemahaman Neural Network," Binus, 2012.
N. A. Muhammad, A. A. Nasir and Z. Ibrah, "Evaluation of CNN, Alexnet and GoogleNet for Fruit Recognition," Indonesian
