Expert system for diagnosis pests and diseases of the rice plant using forward chaining and certainty factor method

2017 ◽  
Author(s):  
Erlina Agustina ◽  
Istas Pratomo ◽  
Adhi Dharma Wibawa ◽  
Sri Rahayu
Keyword(s):  
Expert System ◽  
Rice Plant ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Pests And Diseases ◽  
Factor Method

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 SISTEM PAKAR FORWARD CHAINING , FUZZY-MAX DAN CERTAINTY FACTOR AYAM PEDAGING

2021 ◽  
Vol 21 (1) ◽  
pp. 65-73
Author(s):  
Asep Afandi ◽  
Dwi Marisa Efendi
Keyword(s):  
Expert System ◽  
Disease Outbreaks ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Factor Method ◽  
System Method

Chicken farming is one of the promising business potentials, but in management and care, it is very important to determine the success of chicken farming. Often in the care of negligent employees so that they are exposed to disease outbreaks. With various types of diseases that attack the symptoms are very similar and even the same as other diseases, therefore an expert system can be used to diagnose a disease by looking at the characteristics of the disease suffered, and how the solution is to treat or prevent the disease In the study, it discusses 8 types of broiler diseases, where the expert system method used is the Fuzzy Max method, Forward Chaining, and Certainty Factor. From the results of the Fuzzy Max method, the results showed an accuracy of 80% - 90% for all types of diseases, while the Certainty Factor method showed 96% - 99% for all types of diseases.Keywords— Expert System, Fuzzy Max, Certainty Factor,  Forward Chaining.

scholarly journals Penerapan Metode Forward Chaining Pada Sistem Pakar Untuk Diagnosa Hama Dan Penyakit Padi

2018 ◽  
Vol 2 (1) ◽  
pp. 79
Author(s):  
Khurotul Aeni
Keyword(s):  
Expert System ◽  
Rice Plant ◽  
Knowledge Society ◽  
The Other ◽  
Human Being ◽  
Human Knowledge ◽  
Forward Chaining ◽  
Community Or ◽  
Pests And Diseases ◽  
Plant Pests

  So that the computer can act as and as good as a human being, then the computer should be given the lack of knowledge that has the ability to catch. One of them is an expert system, is a system that attempted to adopt human knowledge to a computer that is designed to model the ability to resolve problems such as befits an expert. With this expert system, people who have yet to figure it out at all to resolve the problem or just simply looking for an actual information can only be obtained with the help of experts in their field. Knowledge society in Indonesia about pests and diseases of rice plant is still low, including handling is known only to the extent of the knowledge of fellow farmers, pest and disease if there is a new kind of farmers are not aware of it, on the other hand there are some the expert or experts who know about the pests and diseases of rice plant, but the number of experts or experts with a large number of farmers are not balanced. Therefore, due to the application of the method of forward chaining inference on expert system to diagnose plant pests and diseases of rice can be the information and knowledge that will help the community or individuals to know the types of pests and what diseases that attack the rice plant, without having to wait and expect a straight answer from the experts

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).

Implementasi Metode Forward chaining dan Certainty factor dalam Mendiagnosa Autisme Anak Berbasis Web

2021 ◽  
Vol 5 (4) ◽  
pp. 362
Author(s):  
Tasha Fitria Kusumanagara ◽  
Fauziah Fauziah ◽  
Deny Hidayatullah
Keyword(s):  
Expert System ◽  
Autism Diagnosis ◽  
Certainty Factor ◽  
Literature Study ◽  
Web Based ◽  
Forward Chaining ◽  
Factor Method ◽  
Interview Methods ◽  
Collection Methods ◽  
The Web

Lack of parental or community knowledge of the symptoms of autism in their children results in neglected early detection. This of course can be too late in the treatment of autism in the future. Therefore, this study aims to design a web-based expert system for diagnosing children's autism. The development model used to design an autism expert system in children is a waterfall and implements the forward chaining method and the certainty factor method. While the data collection methods consisted of interview methods and literature study methods. From the results of the calculation test, it is concluded that the results of manual calculations and the web-based application of an expert system for autism diagnosis in children are the same as the results of the 98% confidence level. With this web-based autism expert system in children, it is hoped that it can help parents or the community to detect autism in their children early on.Keywords:Autism, Expert System, Web Based, Forward chaining Method, Certainty factor Method.

scholarly journals PERANCANGAN SISTEM PAKAR UNTUK IDENTIFIKASI GANGGUAN HAMA DAN PENYAKIT PADI (ORYZA SATIVA) MENGGUNAKAN METODE FORWARD CHAINING

2020 ◽  
Vol 6 (1) ◽  
pp. 39-44
Author(s):  
Agusman Agusman ◽  
Ilyas Ilyas
Keyword(s):  
Oryza Sativa ◽  
Expert System ◽  
Rice Plant ◽  
Science And Technology ◽  
Rice Plants ◽  
Forward Chaining ◽  
Pests And Diseases ◽  
Disease Information ◽  
Rice Disease

With the development of science and technology, this pest and rice disease information can not only be obtained through consultation with experts, but also can be known through an expert system. This will help the consumer to facilitate in consultation on diseases and pests of rice plants. The results obtained from this study are: This system can help facilitate the community in detecting damage to his crops caused by pests and diseases. Able to provide diagnostic results  based  on  the  symptoms  found.  Implementation  of  forward  chaining method is able to answer the problem of society in analyzing the type of disease or pest causing damage to rice plant based on the collected knowledge

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