World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , Web of Science Group (Under Process) , Directory of Research Journals Indexing , Scholar Article Journal Index (SAJI) , International Scientific Indexing ( ISI ) , 

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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Hindayati Mustafidah*, Septian Prihartanto and Suwarsito


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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