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World Journal of Engineering
Research and Technology

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Abstract

ANDROID BASED EXPERT SYSTEM AS A LEARNING MEDIA TO RECOGNIZE CHEMICALS

Hindayati Mustafidah*, Septian Prihartanto and Suwarsito

ABSTRACT

Expert system applications for recognizing chemical elements function as a learning medium, hoping to help users identify each chemical element. Expert systems can be an option or a reference source for users' knowledge, where this knowledge is obtained from chemists. In this study, an expert system application was developed using the forward chaining method. The system consists of two types of applications, namely web-based applications for admins and android applications, for users to conduct consultation sessions with the system. Knowledge contains a chemical element's characteristics in the form of a substance, metalness, types of elements, electrical properties, element groups, and period of elements. This knowledge is represented using inference rules. In this expert system, users can consult chemical elements by answering the system's six questions. The user's answer will determine the solution in the form of a hypothesis, namely the chemical element's name, and its explanation according to the characteristics given. The results of system testing using the black box testing method show that the expert system application is valid and under expectations to be used as a learning medium to recognize chemical elements.

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