METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi
Vol. 4 No. 1 (2018): Maret 2018

SISTEM PAKAR MENDETEKSI PENYAKIT PADA TANAMAN SAYUR SAWI DENGAN METODE BAYES

Friska Nainggolan (STMIK Pelita Nusantara)
, Harvei Desman Hutahaean (STMIK Pelita Nusantara)
Asaziduhu Gea (Universitas Methodist Indonesia)



Article Info

Publish Date
10 Mar 2018

Abstract

Mustard vegetables are classified as leaf vegetables from the Cruciferaefamily which have high economic value and are very popular among the people. Mustard vegetables are often used by people as processed ingredients in various types of cuisine. In general, Vegetable Vegetables are planted in the lowlands to the highlands and harvest is done at the age of 30 - 60 days after planting, depending on the variety. Expert systems are systems that try to adopt human knowledge to computers, so that computers can solve problems as usual by experts. Bayes method is one of the methods found in expert systems that can calculate or process the probability values of each symptom. The expert system detects mustard plant disease has 5 types of diseases found in mustard vegetable plants, namely seedlings, leaf rot, clubroot, leaf spot, alternaria rot.

Copyrights © 2018






Journal Info

Abbrev

methodika

Publisher

Subject

Computer Science & IT

Description

JURNAL METHODIKA diterbitkan oleh Program Studi Teknik Informatika dan Program Studi Sistem Informasi Fakultas Ilmu Komputer Universitas Methodist Indonesia Medan sebagai media untuk mempublikasikan hasil penelitian dan pemikiran kalangan Akademisi, Peneliti dan Praktisi bidang Teknik Informatika ...