Detecting Corn Plant Disease with Expert System Using Bayes Theorem Method

2018 ◽  
Author(s):  
Frans Ikorasaki ◽  
Muhammad Barkah Akbar
Keyword(s):  
Expert System ◽  
Plant Disease ◽  
Bayes Theorem ◽  
Corn Plant

Sistem Diagnosa Hama Dan Penyakit Pada Tanaman Wortel Menggunakan Metode Certainty Factor

2018 ◽  
Vol 2 (2) ◽  
pp. 99-108
Author(s):  
Imelda Telaumbanua ◽  
Erwin Panggabean ◽  
Asaziduhu Gea
Keyword(s):  
Expert System ◽  
Pest Control ◽  
Plant Disease ◽  
Alternative Solution ◽  
Disease Symptom ◽  
Certainty Factor ◽  
Support Activity

Abstrak   Komputer saat ini merupakan perangkat yang sudah menjangkau hampir sebagian besar masyarakat. Kemajuan teknologi dalam bidang komputer telah menjadikan komputer sebagai alat bantu untuk memudahkan pekerjaan manusia dalam berbagai aspek. Salah satu contohnya menghasilkan suatu pendekatan utntuk dapat mengetahui jenis penyakit yang terserag pada tanaman dengan menggunakan metode Certainty Factor. Sistem ini, dapat membantu seseorang untuk mengetahui penyakit yang terserang berdasarkan gejala yang ada pada tanaman serta memberikan solusi untuk penaggulangan atau membasmi penyakit serta hama yang terdapat pada tanaman wortel dengan metode certainty Factor.Dalam  upaya pengendalian hama dan penyakit tanaman wortel secara strategis, seseorang pakar dibutuhkan  untuk bertindak sebagai media bantu, mengingat terbatasnya pengetahuan para praktisi petani wortel dalam mengetahui penyakit pada tanaman serta memberikan solusi kepada petani untuk membasmi penyakit yang terserang pada tanaman wortel.Sistem pakar tanaman memiliki tujuan mengetahui jenis hama dan penyakit, gejala, penyebab, pencegahan, dan menyediakan alternatif solusi penanggulangan hama dan penyakit pada setiap tanaman. Sistem pakar ini juga akan dapat membantu untuk mendukung aktivitas dalam pemecahan masalah.   Kata Kunci: Sistem Pakar, Wortel, Hama dan Penyakit, Certainty Factor, Web     Abstract   Computer current’s is device that has reach almost large part comumunity. Progress technology in subject computer has make computer as tool help for facilitate job human in various aspect. Either for example produce disease that stricken at plant with use method certinty factor. System’s, can help someone for know disease that stircken based on symptom that is at plant and give solution fo handling or eradicate disease and pest that there are at plant carrot with use method certainty factor. In effort pest control and plant disease carrot strategically, someone expert needed for act as media help, remember lomited knowedge some practitioner farmer carrot in know disease at plant and give solution to farmer to exterminate disease that stircken at plant carrot. Expert system plant have purpose know type pest and disease, symptom, cause, prevention and provide alternative solution handling pest and disease at every plant. Expert su=ystem this will can help for support activity in prevention problem.   Keywords: Expert System, Carrot, Pest and Disease, Certainty Factor, Web

scholarly journals SISTEM IDENTIFKASI PENYAKIT TANAMAN CABAI MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) BERBASIS ANDROID

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Hendire S B ◽  
Machudor Yusman
Keyword(s):  
Expert System ◽  
National Economy ◽  
Plant Disease ◽  
Low Level ◽  
Disease Identification ◽  
Simple Additive Weighting ◽  
High Level

Chili is an important commodity in Indoneisa’s economy. The fluctuating price causes chili to contribute to inflation for national economy. Chili’s price could increase because of demand in high level and production of chili in low level. The emergence of disease causes production of chili decreas. To solve the problem in chili disease, the disease needs to be diagnose as soon as possible. To diagnose the disease as soon as possible there is a need of chili expert system using android. Chili’s disease will be indentificated by inputting the symptoms which are shown by the plan. Expert system of chili plant disease identification design is based Android. Android Mobile is used as a device to insert the symptoms which are shown by the plant. The system will manage the symptoms that have been selected and show the diagnoses of the disease and how to control the disease. This system was designed using the Simple Additive Weighting (SAW) method and tested using Blackbox method. Testing using Blackbox method to show the system is able to identify the diseases of chili plant

scholarly journals Penalaran Berbasis Aturan Untuk Diagnosa Awal Penyakit Anjing Menggunakan Teorema Bayes

2018 ◽  
Vol 2 (2) ◽  
pp. 530-535 ◽  
Author(s):  
Sella Marselena ◽  
Ause Labellapansa ◽  
Abdul Syukur
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Rural Areas ◽  
Medical Personnel ◽  
Bayes Theorem ◽  
Search Method ◽  
Early Symptoms ◽  
Forward Chaining

Many pets can be played with, socialize and even live together with humans. Numbers of animal clinics have increased to provide care for pets. This study focuses on Dog as pet. Desease and improper treatment of dog will adversely affect the Dog. In dealing with the problem of Dog disease, Dog owners may experience difficulties due to limited number of clinics and veterinarians, especially in rural areas. As a solution, Artificial Intelligence is used by using expert systems that can help inexperienced medical personnel diagnose early symptoms of Dog disease. The search method used in this research is Forward Chaining and Bayes Theorem method to handle uncertainties that arised. Based on knowledge acquisition, 3 diseases were obtained with 38 simptoms and 60 cases. Based on the tests conducted then obtained the sensitivity value of 80%, the value of accuracy of 88.6% indicates that this expert system is able to diagnose dog diseasesKeywords: Dog, Expert System, Forward Chaining, Bayes Theorem.  

scholarly journals Sistem Pakar Online Pendeteksi Penyakit Tanaman Adenium Dengan Metode Prototyping

2019 ◽  
Vol 5 (1) ◽  
pp. 51-58
Author(s):  
Syahriani Syahriani ◽  
Dimas Aryo Dirgantoro
Keyword(s):  
Expert System ◽  
System Application ◽  
Plant Disease ◽  
Plant Diseases ◽  
Suitable Method ◽  
Forward Chaining

- This adenium plant is a plant that began to demand by many hobbyist plants because plants have unique characteristics Adenium. In addition adenium treatment is also very easy, but adenium plants are also susceptible to pest disease, so it becomes a disease that can make this adenium plant damaged or dead. The lack of expert on adenium plant diseases causes the hobbyists to find it difficult to recognize the symptoms and ways to cure when the plant is infected with the disease. This expert system is made to facilitate the hobbyists in coping with adenium plant diseases. The method used in this expert system is forward chaining, because the Forward Chaining method is a suitable method for the control and forecasting of adenium plant diseases. This expert system application will display the question about the symptoms of adenium plant disease that attack and can be found the solution by experts who have experienced in their field, after that the system will display the results of the disease that attacks his adenium plants along with the characteristics and how to cope with the disease.  Keywords: Adenium, Expert System, Forward Chaining

scholarly journals Comparative Study of Decision Tree, K-Nearest Neighbor, and Modified K-Nearest Neighbor on Jatropha Curcas Plant Disease Identification

2020 ◽  
pp. 55-60
Author(s):  
Triando Hamonangan Saragih ◽  
Diny Melsye Nurul Fajri ◽  
Alfita Rakhmandasari
Keyword(s):  
Expert System ◽  
Decision Tree ◽  
Comparative Study ◽  
Jatropha Curcas ◽  
Plant Disease ◽  
Nearest Neighbor ◽  
Classification Methods ◽  
K Nearest Neighbor ◽  
Disease Identification ◽  
Accuracy Result

Jatropha Curcas is a very useful plant that can be used as a bio fuel for diesel engines replacing the coal. In Indonesia, there are few plantation that plant Jatropha Curcas. But there is so limited farmers that understand in detail about the disease of Jatropha Curcas and it may cause a big loss during harvesting when the disease occured with no further action. An expert system can help the farmers to identify the lant diseases of Jatropha Curcas. The objective of this research is to compare several identification and classification methods, such as Decision Tree, K-Nearest Neighbor and its modification. The comparison is based on the accuracy. Modified K-Nearest Neighbor method given the best accuracy result that is 67.74%.

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.

Pembinaan Sistem Pakar Dalam Bidang Penyakit Tanaman Ladang

1989 ◽  
pp. 49-51
Author(s):  
Zailani Mohd Sidek ◽  
Mohamed Othman
Keyword(s):  
Expert System ◽  
Plant Disease ◽  
Rubber Plant ◽  
Prolog Programming

Artikel in membincangkan satu kajian penyelidikan untuk merekabentuk dan membangunkan satu contoh-dasar (prototaip) sistem pakar dalam bidang penyakit tanaman ladang khususnya getah. Sistem pakar yang telah dibina ini ialah sistem pakar penyakit tanaman getah atau lebih dikenali sebagai RUDES (RUBBER PLANT DISEASE EXPERT SYSTEM). Sistem pakar ini merupakan satu sistem berfungsi untuk mendiagnosis penyakit-penyakit tanaman getah khususnya penyakit-penyakit yang terdapat di Malaysia. Setelah selesai mendiagnosis sesuatu penyakit, sistem pakar akan menentukan darjah kepercayaan tentang kewujudan penyakit tersebut berserta langkah-langkah kawalannya. Sistem pakar yang telah direkabentuk ini menggunakan konsep kepintaran buatan. Kata Kunci: Sistem pakar, kepintaran bulatan, pangkalan pengetahuan, jentera pentadbiran, antaramuka pengguna, PROLOG (programming in logic), heuristik

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.  

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