IDENTIFIKASI PENYAKIT PADA DAUN TOMAT MENGGUNAKAN ALGORITMA BACKPROPAGATION

FIRMANSYAH, MUHAMMAD and Rini, Dian Palupi and Primanita, Anggina (2023) IDENTIFIKASI PENYAKIT PADA DAUN TOMAT MENGGUNAKAN ALGORITMA BACKPROPAGATION. Undergraduate thesis, Sriwijaya University.

	Text RAMA_55201_09021281823060.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (2MB) | Request a copy
	Text RAMA_55201_09021281823060_TURNITIN.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3MB) | Request a copy
	Text RAMA_55201_09021281823060_0023027804_0206088901_01_front_ref.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (1MB) | Request a copy
	Text RAMA_55201_09021281823060 _0023027804_0206088901_02.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (416kB) | Request a copy
	Text RAMA_55201_09021281823060_0023027804_0206088901_03.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (239kB) | Request a copy
	Text RAMA_55201_09021281823060_0023027804_0206088901_04.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (425kB) | Request a copy
	Text RAMA_55201_09021281823060_0023027804_0206088901_05.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (50kB) | Request a copy
	Text RAMA_55201_09021281823060_0023027804_0206088901_06.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (8kB) | Request a copy
	Text RAMA_55201_09021281823060_0023027804_0206088901_07_ref.pdf - Bibliography Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (77kB) | Request a copy
	Text RAMA_55201_09021281823060_0023027804_0206088901_08_lamp.pdf - Accepted Version Restricted to Repository staff only Available under License Creative Commons Public Domain Dedication. Download (3kB) | Request a copy

Abstract

Tomato (Licopresicum esculentum Mill) is a fruit plant that belongs to the Solanaceae family which consists of 220 species. The presence of pests and plant diseases is generally characterized by changes in the physiological shape of the leaves. The learning rate used in backpropagation training is 0.01 with iterations of 50, 100, and 250. Software testing uses 2000 testing data with 200 disease labels each and 100 external data with 10 disease labels each. The tests that have been carried out found that the accuracy level of the software Identification of Diseases on Tomato Leaves Using Backpropagation Algorithm is 87.9% for testing data, and 76% for external data.

Item Type:	Thesis (Undergraduate)
Uncontrolled Keywords:	Algoritma Backpropagation, Hama, Penyakit, Tomat
Subjects:	Q Science > Q Science (General) > Q334-342 Computer science. Artificial intelligence. Algorithms. Robotics. Automation.
Divisions:	09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User:	Muhammad Firmansyah
Date Deposited:	11 Aug 2023 02:50
Last Modified:	11 Aug 2023 02:50
URI:	http://repository.unsri.ac.id/id/eprint/126714

Actions (login required)

View Item