Publication Search

Teeth are one of human‘s organs that feeds on food. As an organ, the tooth definitely can be attacked by some disease. There are many cases of dental disease that occur from dental diseases common to people to chronic dental diseases that can be dangerous. The low level of public concern about dental disease is a problem faced today. Evidenced by the small number of people who diligently consult with dentists about the health of their teeth. An alternative option is needed that can make it easier for people to be able to consult or diagnose dental health and disease without having to see a doctor of dental health. Therefore, in this essay an expert system was created to provide alternative choices for people. This expert system was created with the php hypertext preprocessor programming language. Using the forward chaining method as a tracking method. The purpose of making this expert system is to be able to be a substitute for a dental expert so that people can already do the diagnosis of dental disease anywhere and anytime.

Tomato (solanum lyco persicum) is a plant from the solanceae family, native to Central and South America, from Mexico and Peru. Tomatoes have a short life cycle and a height ranging from 1 to 3 meters. Currently, farmers often experience disturbances from pests and diseases of tomatoes due to a lack of knowledge. They do not know how to control it and to eliminate pests that reduce productivity. In identifying diseases in tomato plants we use the Forward Chaining method which is a description that starts from knowing the facts and then matching them with IF and IF-THEN rules. Diseases with a high prevalence in tomatoes are: fruit worms, earthworms, green aphids, white flies, fruit flies (bractrotera) and the diseases are: fusarium wilt, leaf spot disease, bacterial spot, fruit rot. This expert system application provides tomato disease information and disease diagnosis, including control solutions that can be used to reduce the risk of tomato crop damage    

In this study a web-based expert system was designed using the Naïve bayes method which was intended to help farmers diagnose chili plants. The system development method used is extreme programming which consists of planning, design, coding, testing. A web-based chilli plant disease diagnostic expert system was developed using the PHP and MySQL programming languages. This expert system is capable of diagnosing chili plants by submitting disease symptoms at the time of inspection. Based on the selected symptoms, this system will provide diagnostic results and then display the disease and solutions for the chili plant disease. The results in this study concluded that there was compatibility between the results of the expert system diagnosis using the Naïve bayes method with experts.

The case fatality rate caused by Covid-19 in Indonesia is around 2.9%. The death rate by age group is from all Covid-19 patients who died, including 0.5% aged 0-5 years, 0.5% aged 6-18 years, 2.8% aged 19-30 years, 12.7 % were aged 31–45 years, 36.8% were aged 46–59 years, and 46.7% were aged 60 years and over. With the large number of cases that occurred in Indonesia, it turned out to be due to the lack of proper handling of the early symptoms of the Covid-19 virus. To overcome this, it is needed as a tool for early detection of the Covid-19 variant by using the CBR-AHP expert system with the Sorgenfrei algorithm. The results of the consultation for the early detection of the Covid-19 variant were obtained from the highest similarity value of Sorgenfrei. Of all the variants found above, the highest similarity value of Sorgenfrei is Omicron with a similarity of 1,000. Omicron has the highest value because it has a value of a, which is the same symptom between old cases and large new cases.

A mental illness is a syndrome, psychological, or behavioral disorder in which a person is dysfunctional at work. The problem is that medical personnel or doctors who are professionals in the field of psychology are not comparable to mental illness, especially teenagers. The initial diagnosis by web based and using the Extreme Programming (XP) method. Meanwhile, the main objective of the research is to determine the quality of the web system based on the perceptions of respondents, namely Darul Ihsan Vocational High School students. Measuring the quality of an expert web system using the WebQual instrument. There are three aspects of WebQual that will be measured, namely: usability, information, and interaction quality. Based on the questionnaires distributed to respondents, the expert web system was developed to fulfill the three aspects of WebQual (usability, information, and interaction, with a score of 83.78%, 80%, and 82.97% in the good category.

Determining majors is one of the obligations for all students who still want to continue their education. Decisions taken often cause problems when differences in abilities and limitations in thinking result in not graduating on time. Also, we often see majors chosen only because they follow the advice of friends or family and because of the development of the need for human resources in the world of work. Determination of majors should be done by considering the capabilities possessed. Therefore, this application was created which aims to design an expert system that can provide an overview for prospective students about what majors are suitable or in accordance with their abilities. The method used in making this expert system is Forward Chaining, where the facts related to determining the direction are stated first, then draw an appropriate conclusion. By making this application, it is expected to provide convenience for prospective students both in terms of time and cost.