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 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 Diagnose Disease in Poultry Using Certainty Factor Method

2020 ◽  
Vol 2 (1) ◽  
pp. 167-170
Author(s):  
Oktavio Nansia ◽  
Bosker Sinaga
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Computational Method ◽  
Certainty Factor ◽  
Factor Method ◽  
Lack Of Information ◽  
Artifical Intelligence ◽  
System Method ◽  
The Times ◽  
Inexact Reasoning

In this study, the authors conducted research to apply the Certainty Factor Method to Diagnose Diseases in Livestock and build applications in the application of Reviews These methods. Information technology is now a staple in developing a field. Along with the development of the times, proper information management is needed, so we need an Appropriate computational method. In this case the expert system method is one way to find out or identify diseases in poultry that have been infected with bacteria or viruses. A form of management information system specifically created to support a plan in making decisions to solve a case or problem. Artificial Intelligence (Artifical Intelligence) is one part of computer science that makes machines (computers) can do work as and as well as humans do. Expert System is one of the Artificial Intelligence techniques that attempts to adopt human knowledge into computers, so that computers can solve problems as is usually done by experts. Diagnosing disease in poultry is currently a problem that is still underestimated for most people, this is due to lack of knowledge or lack of information in terms of Overcoming and Preventing Contaminated, viruses or bacteria. Certainty Theory Theory was suggested by Shortlife and Buchanan in 1975 to a accommodate the uncertainty of thinking or inexact reasoning of an expert. Phrases like "maybe", "most likely", "almost Certain". To a accommodate this, Researchers conducted a certainty factor method to describe the level of expert confidence in problems in diseases Suffered by chickens already infected with dangerous viruses.

scholarly journals Rancang Bangun Sistem Pakar untuk Penanganan Penyakit Pada Durian Berbasis Web

2021 ◽  
Vol 2 (1) ◽  
pp. 167-172
Author(s):  
Alfi Syahrinur Sitorus ◽  
Juna Eska ◽  
Sumantri Sumantri
Keyword(s):  
Expert System ◽  
Qualitative Approach ◽  
Plant Diseases ◽  
Certainty Factor ◽  
Web Based ◽  
Existing Problems ◽  
Factor Method ◽  
System Method ◽  
Manual Methods ◽  
The Web

Abstract :In cultivating durian farmers often suffer losses because durian plants are always attacked by pests and durian plant diseases because farmers still use manual methods to find out in dealing with durian plant diseases. From the existing problems, the purpose of this study is to design an expert system with Certainty factor method in handling web-based durian plant diseases that can be accessed by anyone. The benefits of this research provide convenience and help farmers to consult those who have activities worthy of a very experienced system such as experts. The expert system method used is using Certainty factor. The research methodology used by using a qualitative approach. The location of this research was conducted at the Asahan District Agriculture Service specifically in the field of plantations. The design model uses the Rad model, the programming language used by PHP and MySQL as its database. The results of this study are expected by the application of an expert system using the web-based Certainty factor method to diagnose diseases in durian plants and provide treatment solutions so that it can make it easier for farmers and communities to deal with diseases in the durian plants.                                       Keywords: Expert System; Durian; Certainty factor  Abstrak: Dalam membudidayakan durian petani selalu merasa rugi disebabkan tanaman durian selalu diserang para hama dan penyakit tanaman durian dikarenakan mereka tetap memakai cara yang kuno saat mendeteksi serta mengatasi penyakit tanaman durian. Dari permasalahan tersebut jadi tujuan penelitian ini agar merancang sistem pakar dengan metode Certainty factor pada penanganan penyakit tanaman durian berbasis web yang dapat diakses oleh siapa saja. Manfaat dari penelitian ini memberikan serta mempermudah juga menolong para petani ketika bertanya, juga mempunyai aktifitas seperti sistem yang handal bagaikan para ahli. Metode sistem pakar yang digunakan menggunkan Certainty factor. Metodeologi penelitian yang dipakai dengan mengguna-kan kualitatif. Tempat penelitian ini berada pada Dinas Pertanian kabupaten Asahan khusus nya dibidang perkebunan. Model perancangan menggunakan model Rad, bahasa pemograman yang dipakai php dan MySQL menjadi penyimpanan data nya. Hasil akhir dari penelitian ini diharapkan dengan adanya aplikasi sistem pakar memakai cara Certainty factor berjalan di web dapat mendiagnosa penyakit pada tanaman durian dan memberikan solusi penanganannya sehingga dapat lebih memudahkan petani dan masyarakat dalam menangani penyakit pada tanaman durian tersebut. Kata Kunci : Sistem Pakar; Durian; Certainty Factor

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 Comparative Analysis Of Dempster Shafer Method With Certainty Factor Method For Diagnose Stroke Diseases

2018 ◽  
Vol 2 (1) ◽  
pp. 32
Author(s):  
Erwin Kuit Panggabean
Keyword(s):  
Artificial Intelligence ◽  
Comparative Analysis ◽  
Expert System ◽  
Knowledge Representation ◽  
Programming Languages ◽  
Certainty Factor ◽  
Factor Method ◽  
System Method ◽  
Artificial Intelligence Technology ◽  
Better Than

The development of artificial intelligence technology that has occurred has allowed expert systems to be applied in detecting disease using programming languages. One in terms of providing information about a variety of disease problems that have recently been feared by Indonesian society, namely stroke. Expert system method used is dempster shafer and certainty factor method is used to analyze the comparison of both methods in stroke.Based on the analysis result, it is found that certainty factor is better than demster shafer and more accurate in handling the knowledge representation of stoke disease according to the symptoms of disease obtained from one hospital in medan city, uniqueness of algorithm that exist in both methods.

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