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Journal : Jurnal Teknik Informatika (JUTIF)

EXPERT SYSTEM DIAGNOSE DISEASES IN GOATS USING THE APPLICATION OF CERTAINTY FACTOR AT THE ASAHAN DISTRICK LIVESTOCK SERVICE Lizza Nattasya Marpaung; Dahriansah; Cecep Maulana
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.153

Abstract

Goats are livestock that provides many benefits for humans such as meat, milk, and skin. Goat meat is now also one of the important foodstuffs in meeting people's nutrition and is widely marketed. Livestock health is the most important factor in the cultivation of goats, therefore the presence of diseases in goats can result in economic losses because it can reduce livestock productivity and can even cause death in goats. However, most of the goat breeders still lack knowledge of disease control in goats plus the ratio of the number of experts is not balanced with the number of breeders which causes limited service facilities for a consultation so that it is increasingly difficult for breeders to identify the type of disease early on and the solutions that will be carried out next. To overcome this problem, an expert system was built that can assist farmers in diagnosing diseases in goats. This study uses the certainty factor method in solving problems that exist in goats. The data used in this study consisted of 8 disease data and 30 symptom data caused by bacteria, viruses and parasites. Each symptom has a CF value given by experts, namely veterinarians. So that a 90% percentage of the level of conformity for the system's accuracy level is obtained based on the results of expert and system validation.
USING FORWARD CHAINING METHODS TO DIAGNOSE CHOLESTEROL DISEASE USING THE WEB Venny Octavia; Jhonson Efendi Hutagalung jhonson; Cecep Maulana Cecep
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.464

Abstract

Cholesterol disease can attack humans, both young and adult, in this case it is necessary to do a quick diagnosis to provide basic knowledge about cholesterol disease to sufferers. Advances in expert systems can overcome this problem, namely by designing a web-based computer system that is integrated with databases and programming languages ​​such as PHP-MySQL so that it can help cholesterol patients to diagnose the disease. The expert system application in its decision making uses a forward chaining inference engine where the goal driven data will start a search on the initial node to the goal node until it gets results. The results of the implementation of the system, namely the system provides questions in the form of symptoms that must be answered by the patient based on the symptoms experienced by the patient and the results of the process the system will provide information on what type of cholesterol disease he is experiencing in order to get a solution with treatment and handling. System that works with a knowledge base search that is able to provide decisions by utilizing an expert knowledge base.