Tandrian, Alvin Hanjaya and Kusnadi, Adhi (2018) Pengenalan Pola Tulang Daun Dengan Jaringan Syaraf Tiruan Backpropagation. Ultima Computing : Jurnal Sistem Komputer, 10 (2). ISSN 2355-3286
Full text not available from this repository.Abstract
The development of technology has affected many areas of life. Progress in the field of Computer Science can reach other aspect of science. This research apply the knowledge of Computer Science in Biological Science, the one is the morphology of leaf venation. Leaf venation is an important aspect in the process of identification. Therefore, in this research developed the system that classify the type of leaf venation. This application is used as means of research on the performance of pattern recognition on backpropagation neural network. The system designed using the Java programming and socket programming to transfer data from the mobile device into the computer. Data testing is implemented using Android to facilitate process of taking the picture. While in the process of training data for the optimal weight applied directly on the server computer by using Java Eclipse. In the stage of image processing is implemented by using the library of Canny edge detection. Data consisted of five categories of leaf vein pattern, with a sample of three leaves for each pattern. Training data using two of the three leaves for each pattern, with 10 images each leaf so that there are 20 images for each pattern, with a total of 100 images for all patterns. Data testing use 10 images from the third leaf to count the accuracy. The system managed to get the best accuracy by using an image size of 200 x 200 with 100 hidden node with the average accuracy of 76%.
| Item Type: | Article |
|---|---|
| Keywords: | Android, Canny Edge Detection, Java, Neural Networks Backpropagation, Socket Programming |
| Subjects: | 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 005 Computer Programming |
| Divisions: | Faculty of Engineering & Informatics > Informatics |
| Depositing User: | Administrator UMN Library |
| Date Deposited: | 11 Oct 2021 03:15 |
| Last Modified: | 11 Oct 2021 03:15 |
| URI: | https://kc.umn.ac.id/id/eprint/18612 |
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