relation: http://eprints.unpak.ac.id/3869/
title: SISTEM PAKAR DIAGNOSIS PENYAKIT TANAMAN UBI JALAR   MENGGUNAKAN METODE ONTOLOGI DAN BAYES BERBASIS WEBSITE
creator: Kurnia Sari, Putri
creator: Setyaningsih, Sri
creator: Hidayatullah, Syarif
subject: Ilmu Komputer
description: 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
type: Thesis
type: NonPeerReviewed
identifier:   Kurnia Sari, Putri and Setyaningsih, Sri and Hidayatullah, Syarif  (2021) SISTEM PAKAR DIAGNOSIS PENYAKIT TANAMAN UBI JALAR MENGGUNAKAN METODE ONTOLOGI DAN BAYES BERBASIS WEBSITE.  Skripsi thesis, Universitas Pakuan.