Design of Decision Support System for Mapping Student Interest in Information Technology and Computing Specialization

Authors(2) :-Sri Sumarlinda, Wiji Lestari

The mapping of students will help the selection of student specialization in the research field. The purpose of this research is to develop and develop a decision support system to map and provide direction in the suitability of specialization in the field of computer / information technology to students. Development of a decision sThe mapping of students will help the selection of student specialization in the research field. The purpose of this research is to develop and develop a decision support system to map and provide direction in the suitability of specialization in the field of computer / information technology to students. Development of a decision support system design to map computer students with regard to the types of specialization in IT and Computing specialization. The specialization of students is divided into 8 specializations. The specialization is then correlated with indicators namely interests, grade of subjects, learning styles, multiples intelligences and cognitive styles. The leaning styles according to Memeletics Learning Styles Inventory consist 7 types namely : Visual, Aural, Verbal, Physical, Logical, Social and Solitary. The Multiple Intelligences according to Gardner's Multiple Intelligences Scale consist 8 types namely : Linguistics Intelligence, Logical Mathematics Intelligence, Visual Spatial Intelligence, Bodily Kinesthetics Intelligence, Musical Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence and Naturalist Intelligence. The Cognitive Styles according to Martin Cognitive Styles Inventory consist 5 types namely: Systematic Style, Intuitive Style, Integrated Style, Undifferentiated Style and Split Style.upport system design to map computer students with regard to the types of specialization in IT and Computing specialization. The specialization of students is divided into 8 specializations. The specialization is then correlated with indicators namely interests, grade of subjects, learning styles, multiples intelligences and cognitive styles. The leaning styles according to Memeletics Learning Styles Inventory consist 7 types namely : Visual, Aural, Verbal, Physical, Logical, Social and Solitary. The Multiple Intelligences according to Gardner.ís Multiple Intelligences Scale consist 8 types namely : Linguistics Intelligence, Logical Mathematics Intelligence, Visual Spatial Intelligence, Bodily Kinesthetics Intelligence, Musical Intelligence, Interpersonal Intelligence, Intrapersonal Intelligence and Naturalist Intelligence. The Cognitive Styles according to Martin Cognitive Styles Inventory consist 5 types namely: Systematic Style, Intuitive Style, Integrated Style, Undifferentiated Style and Split Style.

Authors and Affiliations

Sri Sumarlinda
Faculty of Computer Science, University/of of Duta Bangsa, Surakarta, Indonesia
Wiji Lestari
Faculty of Computer Science, University/of of Duta Bangsa, Surakarta, Indonesia

Decision Support Systems, Mapping, Student Specialization, Learning Styles, Multiple Intelligences

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Publication Details

Published in : Volume 6 | Issue 1 | January-February 2020
Date of Publication : 2019-12-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 44-50
Manuscript Number : CSEIT195670
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sri Sumarlinda, Wiji Lestari, "Design of Decision Support System for Mapping Student Interest in Information Technology and Computing Specialization", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 1, pp.44-50, January-February-2020. Available at doi : https://doi.org/10.32628/CSEIT195670
Journal URL : http://ijsrcseit.com/CSEIT195670

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