Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer
Vol 2 No 7 (2018): Juli 2018

Sistem Pakar Diagnosis Penyakit Pada Tanaman Jagung Menggunakan Metode Naive Bayes Berbasis Android

Achmad Syarifudin (Fakultas Ilmu Komputer, Universitas Brawijaya)
Nurul Hidayat (Fakultas Ilmu Komputer, Universitas Brawijaya)
Lutfi Fanani (Fakultas Ilmu Komputer, Universitas Brawijaya)



Article Info

Publish Date
18 Sep 2017

Abstract

Corn crop disease is one cause of production of corn is not a maximum, downy mildew can cause harvest failures up to 90% , the presence of an expert would be helpful in terms of solving the diseases that attack plants of corn by means of identifying the symptoms that plagued and conclude what disease attack and provide information to settle the issue. Naive Bayes method is a method used to predict probabilities. While Bayes classification is the classification of statistics that can predict the probability of a class member. For a more simple Bayes classification known as naive Bayesian Classifier can be assumed that the effect of an attribute value is a class given is free of other attributes. The required variable in this study are the symptoms on the leaves, stem and cob of corn plants. The results of this research testing showed all functional requirements are valid, the accuracy of the system are 96% and the results of usability testing stated it very well.

Copyrights © 2018






Journal Info

Abbrev

j-ptiik

Publisher

Subject

Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering

Description

Jurnal Pengembangan Teknlogi Informasi dan Ilmu Komputer (J-PTIIK) Universitas Brawijaya merupakan jurnal keilmuan dibidang komputer yang memuat tulisan ilmiah hasil dari penelitian mahasiswa-mahasiswa Fakultas Ilmu Komputer Universitas Brawijaya. Jurnal ini diharapkan dapat mengembangkan penelitian ...