APPLICATION OF DISEASE DETECTION IN PEPPERPLANT USING RULE BASED REASONING METHOD
Main Author: | Pertiwi, Dian |
---|---|
Format: | Thesis NonPeerReviewed Book Bachelors |
Bahasa: | eng |
Terbitan: |
, 2019
|
Subjects: | |
Online Access: |
http://repository.teknokrat.ac.id/2371/1/14.%20Abstract.pdf http://repository.teknokrat.ac.id/2371/2/15.%20BAB%20I%20Pendahuluan.pdf http://repository.teknokrat.ac.id/2371/3/20.Daftar%20Pustaka.pdf http://repository.teknokrat.ac.id/2371/ |
ctrlnum |
2371 |
---|---|
fullrecord |
<?xml version="1.0"?>
<dc schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><relation>http://repository.teknokrat.ac.id/2371/</relation><title>APPLICATION OF DISEASE DETECTION IN PEPPERPLANT USING RULE BASED REASONING METHOD</title><creator>Pertiwi, Dian</creator><subject>PERANCANGAN SISTEM INFORMASI</subject><subject>PERANCANGAN APLIKASI</subject><subject>TJ Mechanical engineering and machinery</subject><description>Disease on paper plants is undesirable for people who have paper planting because it can
make the harvest are not maximum and finally paper plants will die. To solve this
problem, people need knowledge about the information of the disease, symptom, and how
to handling the disease. Based on this problem, we need expert system to diagnose the
disease on paper plants. This system aims to plan and built Web and Mobile expert system.
In this research, expert system is built based on Web and Mobile system and java
programming language as the database. The reasoning method Rule based Reasoning used
in this research is forward chaining. This method is used to determine which rules will be
used, then it is executed, finally the process is repeated until the results are found. This
system could diagnose 3 diseases of pepper plants with 1 symptoms. From the data
result, using Equivalence Partitioning showed that the manager rule system could
run according to function and system could diagnose the disease well. In addition,
based on questionnaire data, this application was user friendly application (with the
average value 91% or very good) from 40 respondents.</description><date>2019-11-12</date><type>Thesis:Thesis</type><type>PeerReview:NonPeerReviewed</type><type>Book:Book</type><language>eng</language><identifier>http://repository.teknokrat.ac.id/2371/1/14.%20Abstract.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.teknokrat.ac.id/2371/2/15.%20BAB%20I%20Pendahuluan.pdf</identifier><type>Book:Book</type><language>eng</language><identifier>http://repository.teknokrat.ac.id/2371/3/20.Daftar%20Pustaka.pdf</identifier><identifier> Pertiwi, Dian (2019) APPLICATION OF DISEASE DETECTION IN PEPPERPLANT USING RULE BASED REASONING METHOD. Other thesis, Universitas Teknokrat Indonesia. </identifier><recordID>2371</recordID></dc>
|
language |
eng |
format |
Thesis:Thesis Thesis PeerReview:NonPeerReviewed PeerReview Book:Book Book Thesis:Bachelors |
author |
Pertiwi, Dian |
title |
APPLICATION OF DISEASE DETECTION IN PEPPERPLANT USING RULE BASED REASONING METHOD |
publishDate |
2019 |
topic |
PERANCANGAN SISTEM INFORMASI PERANCANGAN APLIKASI TJ Mechanical engineering and machinery |
url |
http://repository.teknokrat.ac.id/2371/1/14.%20Abstract.pdf http://repository.teknokrat.ac.id/2371/2/15.%20BAB%20I%20Pendahuluan.pdf http://repository.teknokrat.ac.id/2371/3/20.Daftar%20Pustaka.pdf http://repository.teknokrat.ac.id/2371/ |
contents |
Disease on paper plants is undesirable for people who have paper planting because it can
make the harvest are not maximum and finally paper plants will die. To solve this
problem, people need knowledge about the information of the disease, symptom, and how
to handling the disease. Based on this problem, we need expert system to diagnose the
disease on paper plants. This system aims to plan and built Web and Mobile expert system.
In this research, expert system is built based on Web and Mobile system and java
programming language as the database. The reasoning method Rule based Reasoning used
in this research is forward chaining. This method is used to determine which rules will be
used, then it is executed, finally the process is repeated until the results are found. This
system could diagnose 3 diseases of pepper plants with 1 symptoms. From the data
result, using Equivalence Partitioning showed that the manager rule system could
run according to function and system could diagnose the disease well. In addition,
based on questionnaire data, this application was user friendly application (with the
average value 91% or very good) from 40 respondents. |
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