Sistem Pakar Mendeteksi Penyakit Pada Tanaman Sayur Sawi Dengan Metode Bayes

2018 ◽  
Vol 2 (2) ◽  
pp. 109-118
Author(s):  
Friska Nainggolan ◽  
Harvei Desman Hutahaean ◽  
Asaziduhu Gea
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Plant Disease ◽  
Economic Value ◽  
Human Knowledge ◽  
Bayes Method ◽  
The People ◽  
Mustard Plant ◽  
Leaf Rot ◽  
Leaf Vegetables

Abstrak           Sayur sawi tergolong tanaman sayuran daun dari keluarga Crucifarea yang memiliki nilai ekonomi tinggi dan sudah sangat populer dikalangan masyarakat.Sayur sawi sering di gunakan masyarakat sebagai bahan olahan dalam berbagai jenis masakan.Pada umumnya sayur sawi di tanam di daerah dataran rendah hingga dataran tinggi dan panen di lakukan pada umur 30 -60 hari setelah tanam tergantung varietasnya.Sistem pakar merupakan sistem yang  berusaha mengadopsi pengetahuan manusia ke komputer, agar komputer dapat menyelesaikan masalah seperti yang biasa dilakukan oleh para ahli . Metode bayes merupakan salah satu metode yang terdapat pada sistem pakar yang dapat menghitung  nilai-nilai probabilitas setiap gejala.Sistem pakar mendeteksi penyakit tanaman sayur sawi memilki 5 jenis penyakit yang terdapat pada tanaman sayur sawi yaitu Rebah semai,busuk daun, akar gada, bercak daun dan busuk alternaria.             Kata kunci : Sistem Pakar, Metode Bayes.Sayur sawi.   Abstract           Mustard vegetables are classified as leaf vegetables from the Cruciferaefamily which have high economic value and are very popular among the people. Mustard vegetables are often used by people as processed ingredients in various types of cuisine. In general, Vegetable Vegetables are planted in the lowlands to the highlands and harvest is done at the age of 30 - 60 days after planting, depending on the variety. Expert systems are systems that try to adopt human knowledge to computers, so that computers can solve problems as usual by experts. Bayes method is one of the methods found in expert systems that can calculate or process the probability values ​​of each symptom. The expert system detects mustard plant disease has 5 types of diseases found in mustard vegetable plants, namely seedlings, leaf rot, clubroot, leaf spot, alternaria rot.           Keywords: Expert System, Bayes Method, mustard greens.

SISTEM PAKAR UNTUK DIAGNOSA PENYAKIT ANAK YANG DIDUKUNG OLEH BAHASA PEMOGRAMAN VISUAL

2017 ◽  
Vol 3 (2) ◽  
pp. 108
Author(s):  
Dian Permata Sari
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Inference Method ◽  
Medical Field ◽  
Forward Chaining ◽  
At Home

<p>Sistem pakar merupakan sistem yang mengadopsi pengetahuan manusia ke komputer yang dirancang untuk memodelkan kemampuan menyelesaikan masalah seperti layaknya seorang pakar. Dengan sistem pakar ini, orang awam pun dapat menyelesaikan masalahnya atau hanya sekedar mencari suatu informasi berkualitas yang sebenarnya hanya dapat diperoleh dengan bantuan para ahli di bidangnya. Salah satunya yaitu dibidang medis untuk mendiagnosapenyakit anak. Mengetahui gejala dari suatu penyakit secara dini dapat menjadi bantuan pertama yang dapat dilakukan para orang tua di rumah jika anak mereka terserang penyakit.Basis pengetahuan disusun sedemikian rupa kedalam database dengan beberapa tabel. Penarikan kesimpulan dalam sistem pakar ini menggunakan metode inferensi <em>forward chaining</em>. Sistem pakar akan memberikan pertanyaan-pertanyaan kepada user berupa gejala dari beberapa penyakit dan user akan menjawab pertanyaan tersebut. Hingga <em>user</em> akan mendapatkan solusi dari hasil pertanyaan tadi. </p><p><em><br /></em></p><p><em>Expert systems are systems that adopt human knowledge into computers designed to model the ability to resolve problems like an expert. Through thisexpert systems,commoner cansolvetheproblem orjustlookingfor a qualityinformationthat can onlybeobtainedwiththehelpofexperts in thefield. One ofthemis in the medical field to diagnosethe children's illness.Knowingthesymptomsofanillnessearly can bethefirstaidto parents if their children stricken withthedisease at home.</em><em>Knowledgebase is arranged into a highlystructureddatabasewithmultipletables. Inferences in this expert system uses forward chaining inference method. Expert systems will provide questions to the user in the form of the symptoms of some diseases and the user will answer that question. Until the user will get the solution of the question.</em></p>

scholarly journals SISTEM PAKAR DIAGNOSA PENYAKIT DAN HAMA PADA TANAMAN JAGUNG MENGGUNAKAN METODE NAIVE BAYES

2021 ◽  
Vol 2 (3) ◽  
pp. 390-398
Author(s):  
Bayu Bastiyan Suherman
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Preventive Measures ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Agricultural Commodities ◽  
Bayes Method ◽  
Mathematical Basis ◽  
Lack Of Information ◽  
Corn Plants

Corn is one of the leading agricultural commodities that can be used as a staple plant other than rice. Constraints faced by corn farmers include the lack of information about diseases that attack the corn plants, which causes less productivity. In this study a system was developed that can automatically detect disease that attacks corn plants so that preventive measures can be taken to prevent corn plants from dying. Expert systems are designed to solve certain problems by imitating the work of experts. In addition, this expert system also helps farmers who are experiencing problems regarding diseases and pests and their solutions without relying on an expert. The method used is the Naive Bayes method, Naive Bayes is a method used to predict probabilities and has several characteristics that are istitively in accordance with the way of thinking of an expert and accompanied by a strong mathematical basis. From the tests carried out with diagnoses obtained from the comparison between the results of expert diagnoses and the diagnosis of the system to diagnose diseases and pests in corn plants is 90%.

Pest Plant Disease Prevention and Identification System Using Certainty Factor Method

2018 ◽  
Vol 7 (3.2) ◽  
pp. 763 ◽  
Author(s):  
Robbi Rahim ◽  
Nuning Nurna Dewi S ◽  
M Zamroni ◽  
Lilla Puji Lestari ◽  
Muh Barid Nizarudin Wajdi ◽  
...  
Keyword(s):  
Expert System ◽  
Disease Prevention ◽  
Expert Systems ◽  
Knowledge Base ◽  
Plant Disease ◽  
Expert Knowledge ◽  
Identification System ◽  
Certainty Factor ◽  
Factor Method

Diseases in plants are something that can happen to many plants either caused by pests or other factors, the disease in plants can be detected based on the symptoms that appear on the plant before spreading to all plants, to recognize the symptoms and types of diseases contained in plants require plant experts or also by applying expert systems with expert knowledge base applied to the system by using certain methods such as certainty factor method. Expected results with the availability of this expert system to the user can help many users to detect diseases in plants.  

scholarly journals Design Of Expert System To Diagnose Sexually Infected Diseases In Human Using The Backward Chaining Method (Perancangan Sistem Pakar Untuk Mendiagnosa Penyakit Menular Seksual Pada Manusia Dengan Penerapan Metode Backward Chaining)

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 135-143
Author(s):  
Harkamsyah Andrianof
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Sexually Transmitted Disease ◽  
Transmitted Disease ◽  
Human Knowledge ◽  
Backward Chaining ◽  
Sexually Transmitted ◽  
Knowledge Based System ◽  
Knowledge Based

Expert systems (expert systems) in general is trying to adopt a system of human knowledge into a computer, so the computer can resolve the problem as was done by the experts. Or in other words, the expert system is a system designed and implemented with the help of a specific programming language to be able to resolve the problem as done by experts. In this case I tried to implement an expert system to diagnose sexually transmitted disease from the symptoms and the causes of Sexually Transmitted Disease. The purpose of this paper is to build a knowledge-based system on Sexually Transmitted Disease using backward chaining method that will be displayed in the form of a website using PHP programming and MySQL database.

scholarly journals PERANCANGAN SISTEM PAKAR MENDIAGNOSA PENYAKIT KULIT PADA ANAK DENGAN MENGGUNAKAN METODE BACKWARD CHAINING

Jursima ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 6
Author(s):  
Nico Alvio Maiyendra
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Skin Diseases ◽  
Human Knowledge ◽  
Backward Chaining ◽  
Knowledge Based System ◽  
Knowledge Based

<p><em>Expert systems (expert systems) in general is trying to adopt a system of human knowledge into a computer, so the computer can resolve the problem as was done by the experts. Or in other words, the expert system is a system designed and implemented with the help of a specific programming language to be able to resolve the problem as done by experts.</em></p><p><em>In this case I tried to implement an expert system to diagnose </em><em>skin diseases for children</em><em> from the symptoms and the causes of </em><em>skin diseases for children</em><em>. The purpose of this paper is to build a knowledge-based system on </em><em>brain</em><em> cancer using backward chaining method that will be displayed in the form of a website using PHP programming and MySQL database.</em></p>

scholarly journals SYSTEMATIC OF EXPERT SYSTEM BASE ON SOFTWARE AND CALCULATION METHOD

2020 ◽  
Vol 2 (1) ◽  
pp. 1-6
Author(s):  
Yunanri W ◽  
Doddy Teguh Yuwono ◽  
Ika Safitri Windarti
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Calculation Method ◽  
Human Knowledge

The expert system is a system that seeks to adopt human knowledge into technology, so that technology can solve problems as is usually done by experts. A good expert system is designed to solve a particular problem by imitating the work of the experts. With expert systems, the layman can solve quite complicated problems, because in fact the problem can only be solved with the help of experts. For experts, the expert system will also assist its activities as a highly experienced assistant. Currently there are many studies that raise cases about expert systems. This study aims to create systematic on expert systems based on a collection of expert system cases and classify them based on the tools used, implementation types and frequently used methods.

scholarly journals Sistem Pakar Menggunakan Metode Certainty Factor untuk Mendiagnosa Hama dan Penyakit pada Tanaman Cabai

Respati ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. 38
Author(s):  
Muhammad Reza Alamsyah, Hendra Kurniawan
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Dynamic System ◽  
Computer Science ◽  
Economic Value ◽  
Certainty Factor ◽  
Crop Failure ◽  
Pests And Diseases ◽  
Chilli Plant ◽  
The People

INTISARICabai merupakan salah satu jenis tanaman sayuran yang dapat menjadi bumbu masakan atau disajikan secara langsung sebagai bahan tambahan dalam makanan. Cabai juga menjadi sayuran yang paling diminati oleh masyarakat Indonesia, sehingga berpotensi besar untuk dikembangkan dan memiliki nilai ekonomi yang cukup tinggi. Akan tetapi, tanaman cabai memiliki masalah yang kompleks terkait serangan hama dan penyakit yang berpotensi mengurangi produksi dan menyebabkan gagal panen. Sistem pakar merupakan salah satu cabang artificial intelligence dalam ilmu komputer yang dapat dimanfaatkan untuk menyelesaikan berbagai jenis masalah. Sistem pakar mampu berperan seperti seorang pakar, sehingga mendiagnosa hama dan penyakit pada tanaman cabai. Pengembangan sistem pakar ini menggunakan metode centainty factor. Metode ini dapat membantu dalam pengambilan keputusan dan menampilkan persentase hasil diagnosa terkait hama dan penyakit pada tanaman cabai. Sistem pakar dikembangkan berbasis website supaya menjadi sistem yang dinamis, sehingga dapat di akses melalui komputer ataupun smartphone. Hasil akhir diagnosa oleh sistem pakar berupa kesimpulan, penjelasan, dan cara mengatasinya.Kata kunci— Tanaman Cabai, sistem pakar, certainty factor ABSTRACTChili is a type of vegetable plant that can be used as a spice in cooking or served directly as an additional ingredient in food. Chili is also a game that is most in demand by the people of Indonesia, so it is likely to be developed and has a fairly high economic value. However, chili plants have problems related to pests and diseases that disrupt production and cause crop failure. Expert system is a branch of artificial intelligence in computer science that can be used to solve various types of problems. The expert system is able to act as a person, thus diagnosing pests and diseases in chili plants. The development of this expert system uses the centacity factor method. This method can assist in making decisions and displaying diagnostic results related to pests and diseases in chili plants. The expert system was developed based on a website to become a dynamic system, so that it can be accessed via a computer or smartphone. The final result of diagnosis by the system is in the form of conclusions, explanations, and how to overcome them.Kata kunci—  Chilli plant, expert system, certainty factor

scholarly journals Penerapan Sistem Pakar Menggunakan Metode Nearest Neighbor Mendiagnosa Gangguan Kesehatan Pengguna Minuman Keras

2019 ◽  
Vol 3 (1) ◽  
pp. 37
Author(s):  
Lince Tomoria Sianturi ◽  
Tegar Sabatia Tarigan
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Languages ◽  
Nearest Neighbor ◽  
Health Problems ◽  
Human Knowledge ◽  
Search Results ◽  
Lay People ◽  
System Output

Expert systems in general are systems that try to adopt human knowledge to computers so that computers can solve problems as is usually done by experts. Or in other words an expert system is a system that is designed and implemented with the help of certain programming languages to be able to solve problems as done by experts. It is expected that with this system, lay people can solve certain problems, either 'a little' complicated or even complicated 'without' the help of experts in the field. As for experts, this system can be used as an experienced assistant. This system diagnoses the types of health problems of liquor users based on the symptoms entered into the system. This developed application aims to determine which liquor users consume by only paying attention to the criteria experienced by liquor users. Using the Nearest Neighbor Method is able to show a measure of certainty about a fact from the existing criteria. System output in the form of search results for liquor users is used by users based on symptoms.

scholarly journals Design of the expert system to analyze disease in Plant Teak using Forward Chaining

2017 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Poningsih Poningsih
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Economic Value ◽  
Disease Diagnosis ◽  
High Quality ◽  
Web Based ◽  
Community Forests ◽  
Forward Chaining ◽  
Teak Wood

Teak is one kind of plant that is already widely known and developed by the wider community in the form of plantations and community forests. This is because until now Teak wood is a commodity of luxury, high quality, the price is expensive, and high economic value. Expert systems are a part of the method sciences artificial intelligence to make an application program disease diagnosis teak computerized seek to replace and mimic the reasoning process of an expert or experts in solving the problem specification that can be said to be a duplicate from an expert because science knowledge is stored inside a database  Expert System for the diagnosis of disease teak using forward chaining method aims to explore the characteristics shown in the form of questions in order to diagnose the disease teak with web-based software. Device keel expert system can recognize the disease after consulting identity by answering some of the questions presented by the application of expert systems and can infer some kind of disease in plants teak. Data disease known customize rules (rules) are made to match the characteristics of teak disease and provide treatment solutions.

scholarly journals SISTEM PAKAR UNTUK MENDIAGNOSA PENYAKIT DAN HAMA PADA TANAMAN SALAK DI TURI SLEMAN

Compiler ◽  
2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Anton Setiawan Honggowibowo ◽  
Asih Pujiastuti ◽  
Linda Putri Susanti
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Human Knowledge ◽  
Topsis Method

Expert systems are systems that adopt human knowledge into computers designed to solve problems like an expert. Salak plants, especially in TuriSleman Yogyakarta area has several obstacles such as diseases and pests in salak plants which is a problem for salak farmers. Expert research Expert system to diagnose diseases and pests in this salak crop helps salak farmers overcome the problems of disease and pests. Salak farmers only need to enter the symptoms experienced in the barking plants later data will be processed symptoms entered by the system. This application performs checks with the system as consulted with a salak plant experts to find out the diseases and pests that attack on the barking plants and find solutions. Implementation in this application using TOPSIS method, TOPSIS method yields the highest rank value for the final result value. This application takes data and performs testing in UPT BP4 Region V Sleman with Turi OPT (Plant-disturbing organisms) officer.

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