Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1926
DC FieldValueLanguage
dc.contributor.authorAiman Al-Falah Muhd Yazid M.en_US
dc.contributor.authorAzida Sahabudin N.en_US
dc.contributor.authorFarihan Mat Raffei A.en_US
dc.contributor.authorAkmal Remli M.en_US
dc.date.accessioned2021-12-13T07:25:45Z-
dc.date.available2021-12-13T07:25:45Z-
dc.date.issued2021-08-
dc.identifier.isbn978-166541407-4-
dc.identifier.urihttp://hdl.handle.net/123456789/1926-
dc.descriptionScopusen_US
dc.description.abstractProgramming language is known among computer science students. One should know at least one programming language throughout their studies. However, mastering one programming language is challenging. Most of the new student find challenging to learn and understand the language as they are not familiar with it. This can cause a problem throughout their studies or even in future jobs. Thus, implementing artificial intelligence to identify students' understandability level towards programming skills is expected to improve their knowledge and weakness about that programming language. This paper presents proposed work for designing the level of programming knowledge for new computer science student. The level of programming knowledge is identified and analyzed based on the student input. The fuzzy logic approach is employed in this study to obtain the target result based on several criterion. Several tools are used to develop the platform for collecting user input data. The output of this work shows that the student can identify their element on each spoke and the programming language level with a short description by displaying data visualization as the output to user in the radar chart.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.subjectArtificial intelligenceen_US
dc.subjectFuzzy Logicen_US
dc.subjectFuzzy ruleen_US
dc.subjectMachine learningen_US
dc.subjectMembership functionen_US
dc.subjectProgramming languageen_US
dc.titleC Programming Skill Levels Determination Using Fuzzy Logicen_US
dc.typePrinteden_US
dc.relation.conferenceProceedings - 2021 International Conference on Software Engineering and Computer Systems and 4th International Conference on Computational Science and Information Management, ICSECS-ICOCSIM 2021en_US
dc.identifier.doi10.1109/ICSECS52883.2021.00079-
dc.description.page399 - 404en_US
dc.volume1en_US
dc.date.seminarstartdate2021-08-24-
dc.date.seminarenddate2021-08-26-
dc.description.placeofseminarPekan, Virtualen_US
dc.description.typeIndexed Proceedingsen_US
dc.contributor.correspondingauthorAiman Al-Falah Muhd Yazid M.en_US
item.openairetypePrinted-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1en-
Appears in Collections:Faculty of Data Science and Computing - Proceedings
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.