Sistem Pakar Penentuan Jamu Dimasa Pandemi Covid-19 Menggunakan Metode Forward Chaining Dan Metode Naive Bayes

Abstract

The current condition of the Covid-19 pandemic has a troublesome impact on the community. The importance of maintaining immunity to be able to maintain health in order not to be easily infected with the Covid-19 virus, one of which is by maintaining a healthy diet, paying attention to cleanliness and by consuming traditional medicines (jamu) as an alternative. alternative to stay in shape. Jamu is a typical Indonesian tradition in the world of medicine. The expert system can diagnose herbal medicine for the need for immunity during the current pandemic, by filling in the symptoms of the complaint it can determine the type of herbal medicine that is suitable for the state of the body according to the symptoms experienced. By using Naïve Bayes, which is using data in the form of symptoms that have been grouped and determined according to the type of herbal medicine available, in this expert system the data tested are 50 data with the data successfully matching 44 data and failing to reach 6 data, the percentage of conformity between the data is obtained. from the expert and the result of Naïve Bayes is 88%.

Keywords: Immunity Herbal Medicine; Expert system; Naive Bayes.