scholarly journals Expert System Mediagnosa Hama On Phon Oil With Certainty Factor Method

2020 ◽  
Vol 2 (2) ◽  
pp. 268-274
Author(s):  
Lamhot Situmorang ◽  
Fristi Riandari
Keyword(s):  
Expert System ◽  
Palm Oil ◽  
Oil Palm ◽  
Palm Tree ◽  
Certainty Factor ◽  
Tree Crops ◽  
Pests And Diseases ◽  
Factor Method ◽  
Palm Trees

The process of palm oil culture is influenced by various factors, one of which is the pest and disease factors. Generally the problem of farmers differentiating pests and diseases, this is dyed most of the farmers lack information and rely on the experience of other farmers to overcome the existing pest and disease problems. In handling pests and diseases, it is necessary to have a farmer consilant who is able to diagnose pests and diseases on oil palm trees. In this study, an expert system for diagnosing pests and diseases in palm tree plants, as well as providing various solutions for pests or diseases. The method used in this expert system is the Certainty Fators method. Certainty Method The factors was chosen because this method is suitable in the process of determining the identification of pests and diseases and the result of this application is the percentage of the system. The percentage is influenced by the CF value obtained from the system, the percentage of expert system consultations is taken from the highest yield as an alternative to other pests or diseases that attack oil palm tree crops.

scholarly journals Expert System for Diagnosing Palm Tree Diseases and Pests using Forward Chaining and Certainty Factor

2017 ◽  
pp. 27-34 ◽  
Author(s):  
Reza Fauzan ◽  
Arsenio Virgian Prananda
Keyword(s):  
Expert System ◽  
Palm Oil ◽  
Early Treatment ◽  
Palm Tree ◽  
Certainty Factor ◽  
General Introduction ◽  
Tree Diseases ◽  
Pests And Diseases ◽  
Oil Crops ◽  
Initial Symptoms

A general introduction to pests and diseases of palm oil crops in relation with the business of palm oil cultivation is necessary to increase the productivity of palm oil plantations. Unfortunately, the number of experts and researchers having expertise in palm oil plants are still very small. To overcome this, an expert system is needed to diagnose diseases and pests in palm oil crops. Therefore, this study proposes an expert system for diagnosing palm tree diseases and pests. The diagnosis begins by entering the initial symptoms, then the system will display other related symptoms. Finally, the system will display the diagnosis of the symptoms entered.  This expert system will ease farmers in identifying diseases and pests based on early symptoms; hence, necessary prevention and early treatment of the disease can be accurately conducted.

scholarly journals PENERAPAN METODE FORWARD CHAINING DAN CERTAINTY FACTOR PADA SISTEM PAKAR DIAGNOSA HAMA ANGGREK COELOGYNE PANDURATA

2017 ◽  
Vol 4 (2) ◽  
pp. 136
Author(s):  
Doddy Teguh Yuwono ◽  
Abdul Fadlil ◽  
Sunardi Sunardi
Keyword(s):  
Expert System ◽  
Confidence Level ◽  
Human Intervention ◽  
Certainty Factor ◽  
Orchid Species ◽  
Epiphytic Orchid ◽  
Forward Chaining ◽  
Pests And Diseases ◽  
Existing Problems ◽  
Factor Method

<p><em>Coelogyne Pandurata or better known by the general name of black orchid, this orchid species only grows on the island of Borneo. Coelogyne Pandurata is an epiphytic orchid attached to other plants but not harmful. This orchid is one endemic of Borneo that requires human intervention to maintain its sustainability. Orchid plants are very susceptible to various pests and diseases. Because many orchid species are cultivated, the disease is difficult to recognize, because the symptoms of disease on orchids vary depending on the variety. The methods applied in this calculation are used Forward Chaining and Certainty Factor methods. This expert system allows users to diagnose pests that attack the Orchid Coelogyne Pandurata plant (Black Orchid Borneo) from various literature and initial observations. The result of application of Forward Chaining and Certainty Factor Method can give pest diagnosis on Orchid Coelogyne Pandurata based on the symptoms given Based on the calculation, the description of confidence level based on the interpretation table of the expert and the final percentage of 93.0736% is Very Probably both methods are applied To solve existing problems.</em></p><p><em><strong>Keywords</strong></em><em>: Coelogyne Pandurata</em><em>,</em><em> </em><em>C</em><em>ertainty </em><em>F</em><em>actor, Expert system, </em><em>Forward Chaining</em></p><p><em>Coelogyne Pandurata atau lebih dikenal dengan nama umum anggrek hitam, spesies anggrek ini hanya tumbuh di pulau kalimantan. Coelogyne Pandurata merupakan anggrek epifit yaitu menempel pada  tanaman lain tetapi tidak merugikan. Anggrek ini merupakan salah satu endemik kalimantan yang memerlukan campur tangan manusia untuk menjaga kelestariannya. Tanaman anggrek sangat rentan terhadap berbagai serangan hama dan penyakit. Karena jenis tanaman anggrek banyak dibudidayakan, menyebabkan penyakitnya sukar dikenal, karena gejala serangan penyakit pada anggrek bervariasi tergantung dari varietasnya.</em><em> </em><em>Metode yang diterapkan dalam perhitungan</em><em> </em><em>ini digunakan</em><em> metode </em><em> </em><em>Forward Chaining dan C</em><em>ertainty </em><em>F</em><em>actor</em><em>. Sistem pakar ini</em><em> memungkinkan pengguna mendiagnosa hama yang menyerang tanaman Anggrek Coelogyne Pandurata (Anggrek Hitam Kalimantan) dari berbagai literatur dan pengamatan awal</em><em>. </em>Hasil penerapan Metode <em>Forward Chaining</em> dan <em>Certainty Factor</em> dapat memberikan diagnosa hama pada <em>Anggrek </em><em>Coelogyne Pandurata</em> berdasarkan gejala-gejala yang diberikan  Berdasarkan hasil perhitungan, maka keterangan tingkat keyakinan berdasarkan tabel interpretasi dari pakar dan persentase akhir sebesar <strong>93,0736% </strong>adalah <strong>Sangat Mungkin </strong>kedua metode ini diterapkan untuk menyelesaikan masalah yang ada.</p><p><em><strong>Kata kunci</strong></em><em>: Coelogyne Pandurata</em><em>,</em><em> </em><em>C</em><em>ertainty </em><em>F</em><em>actor, </em><em>Forward Chaining</em><em>,</em><em> S</em><em>istem pakar</em></p><p><em><br /></em></p>

scholarly journals Expert System Diagnosis Corn Pests And Diseases Using Certainty Factor Method

2019 ◽  
Vol 1230 ◽  
pp. 012063
Author(s):  
Sulindawaty ◽  
Muhammad Zarlis ◽  
Zakarias Situmorang ◽  
Hengki Tamando Sihotang
Keyword(s):  
Expert System ◽  
Certainty Factor ◽  
Pests And Diseases ◽  
Factor Method ◽  
System Diagnosis ◽  
Corn Pests

scholarly journals SISTEM PAKAR DIAGNOSA HAMA DAN PENYAKIT TANAMAN CABAI BESAR MENGGUNAKAN METODE CERTAINTY FACTOR

2017 ◽  
Vol 15 (2) ◽  
Author(s):  
Tomi Winanto, Yustina Retno Wahyu Utami, Sri Hariyati Fitriasih
Keyword(s):  
Expert System ◽  
Disease Control ◽  
System Design ◽  
System Application ◽  
Training Center ◽  
Test Results ◽  
Certainty Factor ◽  
Crop Failure ◽  
Pests And Diseases ◽  
Factor Method

Chili plants have a lot of pest and disease attacks. Pest and disease attacks potentially reduce the production of chilli and even cause crop failure. In addition, the limited number of extension workers and the lack of knowledge of practitioners / chili farmers inhibits efforts to control pests and diseases of chili plants. Therefore, the authors propose an expert system to diagnose pests and diseases in large chili plants using the Certainty Factor method. The Certainty Factor method is used to perform calculations by providing an expert's level of confidence. Expert systems relate symptoms and diseases as well as pest and disease control solutions of large chili plants. The data were obtained based on interviews with experts at the Organization for Industrial, Spiritual and Cultural Advancement (OISCA) Training Center Karanganyar. The data obtained was analyzed and expert system design application was made using UML diagram. The design is continued with the implementation of expert system application into PHP programming and MySQL database. The test results show that the system can diagnose pests and diseases of large chili plants like an expert. Keyword: certainty factor, expert system, pest and disease, large chili plant (Capsicum Annuum Longum).

scholarly journals SISTEM PAKAR DIAGNOSA PENYAKIT TANAMAN KELAPA SAWIT BERBASIS ANDROID

2021 ◽  
Vol 23 (1) ◽  
pp. 28-33
Author(s):  
Surianti Surianti ◽  
Nur Ain Banyal
Keyword(s):  
Expert System ◽  
Oil Palm ◽  
Plant Disease ◽  
Plant Diseases ◽  
The Other ◽  
Certainty Factor ◽  
Application Development ◽  
Plant Oil ◽  
Palm Trees ◽  
The Right

The lack of farmers' knowledge about various palm oil palm plant diseases and how to prevent plant is not attacked by the disease even with the lack of knowledge has led to mistakes in dealing with diseases that attack the oil palm plantations. On the other hand, to meet experts who are experts in the field of agriculture plant oil palm is very difficult, it is necessary for the right technology to solve the problem of oil palm plantations.  One way to overcome this problem by building a plant disease expert system palm, to facilitate the farmers know the oil palm plant diseases. There are various methods in an expert system, but here using certainty factor.  This study resulted in an expert system that can be used as a means for diagnosing the disease of oil palm trees are diseased, in the application development using Android SDK android studio and used to run android emulator on a computer or pc

Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

scholarly journals Perancangan Aplikasi Sistem Pakar Penyakit Roseola Dengan Menggunakan Metode Certainty Factor

2020 ◽  
Vol 1 (2) ◽  
pp. 107
Author(s):  
Lola Fida Putri
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
Low Income ◽  
Acute Illness ◽  
Brain Inflammation ◽  
Not Given ◽  
Certainty Factor ◽  
Factor Method ◽  
Applied Knowledge

Measles Roseola usually attacks infants with transmission from a sprinkling of sufferers' saliva. Roseola must be treated quickly because it can cause liver and brain inflammation. Roseola's disease for people whose economy is low is not given much attention because it is often diagnosed in severe or acute illness. This is because the red rash in infants is a common measles. Early diagnosis of Roseola's disease is a good way to avoid adverse consequences for the baby's health. The Roseola disease expert system is able to help low-income people to self-diagnose the disease. Roseola's disease expert system is applied knowledge gained from experts, namely specialist dermatologists in children. Processing of symptoms based on facts with the value and calculation of the Certainty Factor method. Certainty Factor determines good results by combining expert values and user values.

scholarly journals Rancang Bangun Sistem Pakar Diagnosa Penyakit Tanaman Stroberi Menggunakan Metode Certainty Factor Berbasis Web

Repositor ◽  
2019 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Nina Mauliana Noor Fajriah ◽  
Yufis Azhar ◽  
Gita Indah Marthasari
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computer Science ◽  
Programming Language ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Factor Method ◽  
System Database ◽  
And Behavior

Expert system is one of the AI Development fields. AI (Artificial Intelligence) is part of a computer science which used the computer to imitate the human thoughts and behavior. The usage of a method in Expert System is very important. Thus, the most compatible method to use is the Certainty Factor method. This method is suitable to be used on Expert System to measure things and diagnosed it, will it be very sure or unsure. For example, Expert System to diagnose disease on strawberry plants. This software allows the user to diagnose the disease on strawberry plants before taking a further action. This software is using PHP programming language and store the data using MySQL system database. When the user consulting to the software, the software will show the symptoms of the disease and the user can choose the level of certainty from the chosen disease symptom. The final result from the software is a form which includes the guide of how to take the measurement of the disease based on the chosen symptoms.

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