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primary topic: SISTEM PAKAR DIAGNOSIS PENYAKIT TANAMAN UBI JALAR MENGGUNAKAN METODE ONTOLOGI DAN BAYES BERBASIS WEBSITE

SISTEM PAKAR DIAGNOSIS PENYAKIT TANAMAN UBI JALAR MENGGUNAKAN METODE ONTOLOGI DAN BAYES BERBASIS WEBSITE
type: Thesis
type: Article
abstract: Abstract Sweet potato disease in general, many people do not know what disease is being attacked in their sweet potato plants. Many diseases that arise from leaves, stems and yams are caused by larvae, insects or fungi that can cause disease and rot in yams. Build an intelligent system (computer) to analyze problems, observe the work system of an expert or expert. Expertise comes from developing the knowledge of someone who is competent and immediately provides solutions to solve a disease problem. Therefore, we need a knowledge-based system in the form of ontology of sweet potato plant disease symptoms and using the Bayes method to get an accurate value on the ontology. The aim is to assist farmers in diagnosing sweet potato plant diseases on a website-based basis. Key words: Diagnosis, Sweet Potato Plant Disease, Ontology and Bayes
date: 2021
status: published
creator: Putri Kurnia Sari
author list: authors
type: EPrint
type: ThesisEPrint
is part of: repository
subject: Ilmu Komputer

Universitas Pakuan
type: Organization

Ilmu Komputer, Universitas Pakuan
type: Organization

Syarif Hidayatullah
type: Person
given name: Syarif
family name: Hidayatullah

Sri Setyaningsih
type: Person
given name: Sri
family name: Setyaningsih

Putri Kurnia Sari
type: Person
given name: Putri
family name: Kurnia Sari

FMIPA
type: Organization

Ilmu Komputer
type: Organization

HTML Summary of #3869 SISTEM PAKAR DIAGNOSIS PENYAKIT TANAMAN UBI JALAR MENGGUNAKAN METODE ONTOLOGI DAN BAYES BERBASIS WEBSITE
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primary topic: SISTEM PAKAR DIAGNOSIS PENYAKIT TANAMAN UBI JALAR MENGGUNAKAN METODE ONTOLOGI DAN BAYES BERBASIS WEBSITE

Ilmu Komputer
type: Concept