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All Journal JUITA : Jurnal Informatika Jurnal Sains dan Informatika : Research of Science and Informatic JURTEKSI Jurnal Informasi dan Teknologi Journal of Computer Scine and Information Technology Jurnal Komtekinfo
Rianti, Eva
Universitas Putra Indonesia YPTK Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Journal : Journal of Computer Scine and Information Technology

 1 
Implementation of a Rabbit Disease Diagnosis Expert System using the Forward Chaining and Certainty Factor Method Mayang Sajida; Eva Rianti; Sepsa Nur Rahman
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.78

Abstract

An expert system is a system that adopts the expertise of an expert in a particular field into the system. Rabbits are one of the animals that are close to humans and have high body adaptability. However, rabbits are not free from the threat of disease. Treatment requires more costs so we need a way to find out the disease and the solution so that we can take the necessary actions. To overcome this, an expertise media was created that can be accessed by rabbit owners online using the Forward Chaining and Certainty Factor methods. The expert system must be able to work under uncertainty, so the Forward Chaining (FC) and Certainty Factor (CF) methods were added to overcome this problem. Forward Chaining is a decision making method that is commonly used in expert systems and the Certainty factor method is a method to prove the uncertainty of an expert's thinking. The system diagnosis results display possible diseases suffered by rabbits and provide treatment solutions for diseases with the largest CF values. With the calculation results, the level of confidence information based on the table is Definitely Yes. The accuracy of the system output is proven from the results of system validity with experts.
Gastric Diagnosis Expert System using the Fuzzy Mamdani Method Rozizah Dwi Gusni; Eva Rianti; Firna Yenila
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.87

Abstract

The stomach is one of the important digestive organs in humans. Gastric disease is inflammation of the stomach lining caused by microorganisms, this disease is caused more by Helycobacterpylori bacteria, apart from being caused by bacteria, stomach disease can also be caused by irregular lifestyle and eating patterns. Diseases that attack the stomach are still considered trivial by the general public, so not many people know about stomach diseases and the symptoms that exist. This is what causes people to be reluctant to see a doctor when they suffer from pain that attacks the stomach. When a disease attacks the stomach, people only use experience or intuition to cure it, so it is not treated properly. By using an expert system, patients can save time going to the hospital and can improve service to patients. The results of the Mamdani fuzzy logic calculations require a report on the possibility of stomach disease suffered by the user/patient, examples of possibilities are small, somewhat large and large based on the highest value results. It is hoped that with this system, it will be easier for patients to diagnose gastric diseases to carry out prevention and early diagnosis and treatment.
Certainty Factor Method for an Expert System for Orthopedic Disease Diagnosis Intan Savilla; Eva Rianti; Firna Yenila
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.88

Abstract

Health is an important thing in human survival, including bone disease. Some people think that bones are passive, dead tissue, but they are not. Bones and skeleton are a very important part of orthopedics. Bones are not only a framework that strengthens the body but are also part of the structure of joints, as protection for the body, where the ends of muscles are attached. One of the diseases that is widely felt in society is bone disease. Bone disease is a condition that damages the skeleton and makes bones weak and susceptible to fractures. The high rate of diseases that attack the bones is caused by the conditions and behavior of society, such as stress, lack of exercise, wrong diet. Another cause is also ignorance and lack of knowledge about bone disease itself. By using an expert system, patients can save time going to the hospital, because the system replaces experts in their field, especially chiropractors. The method that will be used in this research is the Certainty Factor Method. The results obtained later are diagnostic results based on the symptoms entered and issued in the form of decisions and percentages. The diagnosis results identified Cervical Spondylosis (Nerve Pain) with a confidence level of 89.60%. It is hoped that this expert system will make it easier for patients to diagnose bone disease and carry out initial treatment in treating the disease.
Decision Support System for Determining the Best Pesticide for Rice Plants Using the Moora Method Resvi Ansiska; Eva Rianti; Wifra Safitri
Journal of Computer Scine and Information Technology Volume 9 Issue 4 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i4.89

Abstract

completed quickly and performed effectively and efficiently, especially in the agricultural sector. Pesticides are chemical or organic substances that farmers use to protect rice plants from pests , so farmers often have difficulty choosing pesticides that will be used to prevent rice pests. In fact, the large number of pesticide products on the market and their very different advantages make farmers confused in determining pesticide choices. The Harapan Jaya farmer group always provides counseling and training regarding the management of agricultural products, therefore the farmer group continues to maintain rice production to avoid pests and there is no shortage of rice plants at this time by using pesticide products on the market. Decision Support Systems (DSS) are systems that are able to provide problem solving abilities and communication abilities for problems with structured and unstructured conditions. The method in the decision support system is Multi Objective Optimization on the basis of Ratio Analysis (MOORA). The results obtained from this calculation method are Rodenticide with a value of 0.288 which is ranked first and the fifth rank is Insecticide with a value of 0.047. By implementing a decision support system using the MOORA method, it is hoped that it will help select interconnected outputs, because the decision results are based on criteria data in determining the best pesticide for rice plants
Co-Authors Aggy Pramana Gusman Devi Gusmita Dian Maulida Dwi Febrina Barel Eka Praja Wiyata Mandala Firna Yenila Intan Savilla Marfalino, Hari Mayang Sajida Pratama, Robby Noval Resvi Ansiska Romi Hardianto Rozizah Dwi Gusni Sarjon Defit Sepsa Nur Rahman Suci Wahyuni Wifra Safitri Yesri Elva