Design Framework as a Prototype of Islamic Medicine Engine to any Disease Especially for Covid-19 Based Al-Qur’an and Hadith Using Meta-Deep AI and Particle Swarm Optimization

Abstract

In the Islamic world, as a part of the faith, every Muslim must believe that every time there is a disease, Allah SWT has also sent down the medicine. The current issue is that the extraction of information related to diseases and drugs from the Qur'an and Hadith has not been optimal, given the increasing number of diseases that have complexities of symptoms that require long and in-depth investigation if done manually. In addition, there are also some dangerous diseases for humans the cure of which is unknown, one of which is Covid-19. This study proposes an automatic search approach in the form of design framework as Islamic Medicine Engine using Meta-Deep Artificial Intelligence (AI) technology based on optimization techniques that have reliable capabilities in the search process for solutions so that no matter how difficult the search space is, it will still be easy to find the optimal solution. The optimization technique uses the particle swarm optimization (PSO) algorithm which is very fast to identify the solution point being searched, one of the reasons of which is because it contains a meta-heuristic technique. The way this method works is to find the optimal fitness measurement performance value of each particle candidate or as a forerunner to an optimal solution according to constraints/obstacles or parameters of disease symptom features that are included in the testing process for any disease or it is general, especially for Covid-19. From the experimental results, it was discovered that the PSO algorithm could provide convergent recommendations, meaning that it has met the entry criteria for optimum and dynamic global conditions in the form of many alternative solutions offered as candidates for herbal medicine, or at least as a supplement to cure any disease, especially Covid-19, with the permission of Allah SWT.