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Thesis Topic Recommendation using Simple Multi Attribute Rating Technique
Cepy Slamet (a); Fahmi Mahmud Maliki (a); Undang Syaripudin (a); Abdusy Syakur Amin (b); Muhammad Ali Ramdhani (*, a)

(*) m_ali_ramdhani[at]uinsgd.ac.id
(a) Department of Informatics, UIN Sunan Gunung Djati Bandung, Indonesia
(b) Department of Industrial Engineering, Universitas Pasundan, Indonesia


Abstract

The purpose of this study is to design information systems that can recommend the selection of final project (thesis) topics based on the competencies possessed by students. The analytical model integrated into this system is the Simple Multi Attribute Rating Technique (SMART), with student competency data taken based on the grade score of the subjects relevant to the selection of the final project theme clusters. The design of the information system in this study uses a prototype model, with the main stages consisting of needs analysis, design, testing, and evaluation. The system designed successfully runs well and can provide recommendations on the selection of thesis topics. This recommendation is expected to provide an overview of the strength of competencies that are superior to students what have relevance to the cluster of the thesis main topics.

Keywords: competence, final project, SMART, thesis

Topic: Computer Science

Link: https://ifory.id/abstract/bkvyrQfpDKtL

Conference: The 4th Annual Applied Science and Engineering Conference (AASEC 2019)

Plain Format | Corresponding Author (Muhammad Ali Ramdhani)

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