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 Sistem Pakar Diagnosa Penyakit Tanaman Rambutan dengan Metode Forward Chaining dan Certainty Factor Berbasis Android

2020 ◽  
Vol 5 (3) ◽  
pp. 329
Author(s):  
Bayu Abrianto Risnadi ◽  
Fauziah Fauziah ◽  
Ratih Titi Komala Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Application ◽  
Confidence Level ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Calculation Results ◽  
Manual Calculation

The purpose of this research is to create an expert system application to diagnose diseases in the rambutan plant that can be accessed anytime and anywhere so that the handling of the disease can be done appropriately. The Forward Chaining and Definity Factor methods are used because they are very suitable for expert systems that diagnose something that is uncertain so that the manual calculation results from the symptom data and the existing expert values result in a 98.91% confidence level percentage, and solutions are given to treat disease-stricken plants. The implementation uses Android Studio so that the application can run dynamically on various devices so that farmers can immediately find out what is happening with the conditions of their rambutan plants directly.Keywords:Rambutan Plant, Expert System, Android, Forward Chaining, Certainty Factor.

Perpaduan Metode Certainty Factor dan Forward Chaining untuk Menentukan Tingkat Stres Mahasiswa Tingkat Akhir Berbasis Android

2021 ◽  
Vol 5 (3) ◽  
pp. 267
Author(s):  
Nurholis Nurholis ◽  
Fauziah Fauziah ◽  
Novi Dian Natashia
Keyword(s):  
Expert System ◽  
System Application ◽  
Confidence Level ◽  
Bachelor's Degree ◽  
Certainty Factor ◽  
Forward Chaining ◽  
Final Project ◽  
Level Of Confidence ◽  
Stress Levels ◽  
Predetermined Time

Students who are taking the final semester are students who are completing all their subjects, can take the final project provided they have met the number of credits set to obtain a bachelor's degree. In the process of making a final project, students are required to complete it within a predetermined time, this demand causes students to be depressed, causing stress that affects them in completing their final project and study period. Based on this problem, an Expert System Application was made to Diagnose Stress Levels in Final Year Students by Combining Certainty Factor Methods and Android-Based Forward Chaining Techniques to find out more clearly the level of stress experienced by final year students. The results of the diagnosis on the expert system application and the results of manual calculations on one of the data which is representative of the 200 student data, which produce the same level of confidence, each of which produces a confidence level of 97.97% and was diagnosed with mild stress.Keywords:Android, Certainty Factor, Forward Chaining, Final Year Students, Expert System, Stress.

scholarly journals Talent Management Employee Development by Using Certainty Factor Method of Expert System

2021 ◽  
Vol 1 (1) ◽  
pp. 33-39
Author(s):  
Aditia Putra Hamid ◽  
Rosyid Ridlo Al Hakim ◽  
Aming Sungkowo ◽  
Trikolas Trikolas ◽  
Hendra Purnawan ◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Expert System ◽  
Confidence Level ◽  
Employee Development ◽  
Talent Management ◽  
Business Environment ◽  
Certainty Factor ◽  
System Framework ◽  
Factor Method ◽  
Job Promotion

Talent management is a factor that determines success in the business environment because talent management requires quantitative and qualitative skills. This study aims to implement the certainty factor (CF) method of an expert system for employee development talent management. This research using a certainty factor (CF) method to design an expert system framework. Due to the focus on our research aim, we provide a certainty factor calculation with mathematical modeling for calculating talent management employee development in X Company. The confidence level is 93.55% for a recommendation of not promotion of the job; for 52.38% is a recommendation that can be proposed for promotion, but HRD will evaluate in some time; for 98.73% is a recommendation for promotion of the job. We used CF calculation that can provide the level of confidence (in %). The calculation of the certainty factor (CF) method can be used for recommending job promotion in some companies.

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

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).

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