Laksmana, Hendra (2022) IDENTIFIKASI BUAH PISANG DENGAN IMAGE PROCESSINGMENGGUNAKAN METODE BACKPROPAGATION. Undergraduate thesis, POLITEKNIK NEGERI JEMBER.
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Abstract
The development of banana commodities aims to meet the need for fruit consumption along with the increasing population and increasing public awareness of the importance of nutrition where bananas are a source of vitamins, minerals and carbohydrates. But besides the number of production, there are still many banana processing done in less efficient. This can be seen from the selection of types of bananas to be processed is still done manually, judging by the color and size with the normal eyes. In this study will produce a system that is able to identify of bananas. The system to be built implements artificial neural networks for its modelers and uses feature extraction of mean rgb and standard deviation of rgb, perimeter, breadth, length, width, roundness, and slackness
Item Type: | Thesis (Undergraduate) | ||||||
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Uncontrolled Keywords: | Identification,Backpropagation | ||||||
Subjects: | 410 - Rumpun Ilmu Teknik > 450 - Teknik Elektro dan Informatika > 458 - Teknik Informatika | ||||||
Divisions: | Jurusan Teknologi Informasi > Prodi D4 Teknik Informatika > Tugas Akhir | ||||||
Depositing User: | Hendra Laksmana | ||||||
Date Deposited: | 09 Sep 2022 07:49 | ||||||
Last Modified: | 09 Sep 2022 07:50 | ||||||
URI: | https://sipora.polije.ac.id/id/eprint/16611 |
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