Kurniawan, Muhammad Akbar (2025) IMPLEMENTASI METODE CNN UNTUK IDENTIFIKASI PENYAKIT PADA TANAMAN BUNGA ANGGREK BERDASARKAN CITRA DAUN DI TIRA ORCHIDS. Undergraduate thesis, Universitas Nusantara PGRI Kediri.
|
Text (Full text)
RAMA_55201_2113020019.pdf - Accepted Version Restricted to Registered users only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy |
|
|
Text (Similarity)
RAMA_55201_2113020019_SIMILARITY.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (2MB) |
|
|
Text (Cover sd BAB 1 + References)
RAMA_55201_2113020019_0710018501_0704108701_01_front_ref.pdf - Accepted Version Available under License Creative Commons Public Domain Dedication. Download (472kB) |
|
|
Text (BAB 2)
RAMA_55201_2113020019_0710018501_0704108701_02.pdf - Accepted Version Restricted to Registered users only Available under License Creative Commons Public Domain Dedication. Download (190kB) | Request a copy |
|
|
Text (BAB 3)
RAMA_55201_2113020019_0710018501_0704108701_03.pdf - Accepted Version Restricted to Registered users only Available under License Creative Commons Public Domain Dedication. Download (421kB) | Request a copy |
|
|
Text (BAB 4)
RAMA_55201_2113020019_0710018501_0704108701_04.pdf - Accepted Version Restricted to Registered users only Available under License Creative Commons Public Domain Dedication. Download (278kB) | Request a copy |
|
|
Text (BAB 5)
RAMA_55201_2113020019_0710018501_0704108701_05.pdf - Accepted Version Restricted to Registered users only Available under License Creative Commons Public Domain Dedication. Download (33kB) | Request a copy |
|
|
Text (References)
RAMA_55201_2113020019_0710018501_0704108701_06_ref.pdf - Bibliography Available under License Creative Commons Public Domain Dedication. Download (95kB) |
|
|
Text (Lampiran)
RAMA_55201_2113020019_0710018501_0704108701_07_lamp.pdf - Accepted Version Restricted to Registered users only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy |
Abstract
Penelitian ini bertujuan untuk mengembangkan sistem identifikasi penyakit pada tanaman bunga anggrek berdasarkan citra daun menggunakan metode Convolutional Neural Network (CNN). Metode Convolutional Neural Network dipilih karena dianggap efektif dalam mengenali objek citra, selain itu metode ini juga mempunyai kemapuan yang menonjol dalam melakukan ekstraksi fitur secara otomatis, sehingga dapat menghemat waktu dan tenaga. Sistem ini dikembangkan menggunakan pendekatan deskriptif kualitatif dan diimplementasikan dalam platform berbasis website. Hasil penelitian menunjukkan bahwa sistem berhasil mengidentifikasi penyakit pada tanaman anggrek (bulan, cattleya, dendrobium, vanda) berdasarkan citra daun. Pengujian menggunakan Blackbox Testing menunjukkan bahwa sistem berfungsi sesuai dengan yang diharapkan.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | Anggrek, CNN, Metode, Penyakit |
| Subjects: | 410 Engineering science > 459 Computer science 410 Engineering science > 461 Information systems 410 Engineering science > 462 Information technology |
| Divisions: | Fakultas Teknik dan Ilmu Komputer > S1-Teknik Informatika |
| Depositing User: | Muhammad Akbar Kurniawan |
| Last Modified: | 07 Feb 2026 08:02 |
| URI: | http://repository.unpkediri.ac.id/id/eprint/22843 |
Actions (login required)
![]() |
View Item |
