scholarly journals Sistem Pakar Mendiagnosa Penyakit Epilepsi Menggunakan Metode Dempster Shafer

2021 ◽  
Vol 4 (6) ◽  
pp. 415-424
Author(s):  
Faisal Anggi Mahesa ◽  
Sulindawaty Sulindawaty
Keyword(s):  
Expert System

Abstrak— Perkembangan ilmu pengetahuan di era revolusi industri 4.0 ini sangatlah pesat. Hal ini terlihat pada terciptanya berbagai teknologi yang dapat membantu pekerjaan banyak pihak. Tidak dapat dipungkiri teknologi dibidang komputer sangat amat dibutuhkan oleh berbagai instansi pemerintah dan swasta di Indonesia disegala bidang terutama dibidang kesehatan yang dapat digunakan dalam membantu dalam mendiagnosa penyakit seperti epilepsi. Epilepsei dapat menyerang, baik itu pria maupun wanita, anak-anak maupun orang dewasa. Pada umumnya, semua orang memiliki sel epilepsi yang akan terhubung ke otak manusia. Hal ini terlihat pada terciptanya berbagai teknologi yang dapat membantu pekerjaan banyak pihak Salah satu dibidang komputer yang dapat membantu dalam mendiagnosa penyakit epilepsi dengan menggunakan Ilmu Sistem Pakar (Expert System). Penelitian ini menggunakan metode Dempster Shafer. Penelitian ini menggunakan 3 jenis penyakit epilepsi yaitu Epilepsi Umum, Epilepsi Parsial, dan Epilepsi Sekunder dan menggunakan 13 gejala. Dari hasil penelitian ini didapatkan bahwa diagnosa paling akurat adalah Epilepsi Umum dengan tingkat kepercayaan 99% dan berdasarkan gejala yang terpilih maka diagnosa paling akurat adalah Parsial Primer, Parsial Sekunder dengan tingkat kepercayaan 74%.Kata Kunci : Sistem Pakar, Epilepsi, Rumah Sakit, Akurat.  

An expert system for FMS control

1993 ◽  
Vol 2 (4) ◽  
pp. 223 ◽  
Author(s):  
Wang Chengen ◽  
Zhu Jianying ◽  
Wei Zhongxin
Keyword(s):  
Expert System

HAZARD: An Expert System for Risk Assessment of Environmental Chemicals

1987 ◽  
Vol 26 (01) ◽  
pp. 13-23 ◽  
Author(s):  
H. W. Gottinger
Keyword(s):  
Expert System ◽  
Structural Information ◽  
Chemical Carcinogenesis ◽  
Structural Features ◽  
Environmental Chemicals ◽  
Chemical Carcinogens ◽  
Carcinogenic Activity ◽  
Current State ◽  
Structure Activity ◽  
Carcinogenic Potential

AbstractThe purpose of this paper is to report on an expert system in design that screens for potential hazards from environmental chemicals on the basis of structure-activity relationships in the study of chemical carcinogenesis, particularly with respect to analyzing the current state of known structural information about chemical carcinogens and predicting the possible carcinogenicity of untested chemicals. The structure-activity tree serves as an index of known chemical structure features associated with carcinogenic activity. The basic units of the tree are the principal recognized classes of chemical carcinogens that are subdivided into subclasses known as nodes according to specific structural features that may reflect differences in carcinogenic potential among chemicals in the class. An analysis of a computerized data base of known carcinogens (knowledge base) is proposed using the structure-activity tree in order to test the validity of the tree as a classification scheme (inference engine).

ANALYSIS OF PLANT FRAGARIA XANANASSA DISEASE DIAGNOSES USING PRODUCTION RULES BASE ON EXPERT SYSTEM

2020 ◽  
Vol 16 (1) ◽  
pp. 25-32
Author(s):  
Basiroh Basiroh ◽  
Wiji Lestari
Keyword(s):  
Expert System ◽  
Early Diagnosis ◽  
General Public ◽  
Insect Pests ◽  
Fruit Rot ◽  
Proper Treatment ◽  
Harvest Time ◽  
Production Rules

Errors that occur in solving problems in strawberry plants (Fragaria Xananassa) such as the presence of leaf patches, fruit rot, perforated leaves, and insect pests can be the cause of not maximum in harvest time. The farmers and the general public who planted strawberry (Fragaria Xananassa) need to know the proper treatment of diseases and pests so that future yields as expected. Therefore, it takes an application as a solution in the delivery of information related to the problems that are often encountered in strawberry plants (Fragaria Xananassa). Methods of production rules can be used to diagnose the disease strawberry (Fragaria Xananassa) based on signs or symptoms that occur in the parts of plants and strawberry, the results of diagnosis using this method are the same as we do Consultation on experts.  The purpose of this study was to determine the early diagnosis of disease in strawberry plants (Fragaria Xananassa) based on signs or symptoms that occur in the plant and fruit parts. The results of the analysis of this study showed that the validation of disease and symptom data in strawberry plants (Fragaria Xananassa) reached 99%, meaning that between the data of symptoms and disease understudy the accuracy was guaranteed with the experts.

An image analysis based expert system for assessing the quality of freeze-dried protein formulations

2012 ◽  
Author(s):  
Jukka Rantanen ◽  
Hjalte Trnka ◽  
Jian Wu ◽  
Marco van de Weert ◽  
Holger Grohganz
Keyword(s):  
Image Analysis ◽  
Expert System ◽  
Protein Formulations ◽  
Freeze Dried

Expert System for Monitoring of Computer Network work Rules Checking Automation

2014 ◽  
pp. 94-104
Author(s):  
В.М. Рувинская ◽  
◽  
А.С. Тройнина ◽  
Е.Л. Беркович ◽  
А.Ю. Черненко
Keyword(s):  
Expert System ◽  
Computer Network ◽  
Work Rules
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