CD Skripsi

Klasifikasi Jenis Penyakit Tanaman Padi (Oryza Sativa L) Menggunakan Metode Naïve Bayes Classifier Berbasis Web

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Rice (Oryza Sativa L) is one of the most important cultivation plants for human survival. Rice plant diseases often result in the growth of rice plants to be disrupted and can even make rice production fail. Lack of knowledge of information about the causes of rice disease and how to prevent this disease, a system is needed to classify types of rice disease based on their symptom characteristics. The purpose of this research is to classify the types of rice crop diseases using the Naïve Bayes Classifier method. The design of this system uses a design tool that is the Unified Modeling Language (UML). Development of the system uses the javascript programming language and nosql database with data management using firebase. The study was conducted on 60 sample data which will become training data to classify test data which results in the type of disease with the greatest probability. The results issued by the system in the form of disease information that is a description and solution to rice crop diseases that can be used by farmers as consideration of further actions.
Keywords :Naïve Bayes Algorithm, Data Mining, Classification, Rice, Disease

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

03 05.120 (0004)

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2020

Deskripsi Fisik

xiv, 79 hlm.: ill.: 29 cm

Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

03 05.120 (0004)

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

ELFITRA

Versi lain/terkait

Lampiran Berkas

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