Skripsi

IDENTIFIKASI PENYAKIT PADA DAUN TOMAT MENGGUNAKAN ALGORITMA BACKPROPAGATION

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Penilaian

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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.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2307004610	T126714	T1267142023	Central Library (Reference)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1267142023

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2023

Collation

xv, 57 hlm.; Ilus.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

003.107

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

Identifikasi
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

FIRA

Other version/related

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