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Decision Support System For Student Activity Unit Selection Using Certainty Factor Method.

Authors :
Manurung, Kiki Hariani
Hayati, Nova
Shofia, Alima
Syaputra, Aldo Eko
Source :
Internet of Things & Artificial Intelligence Journal (IOTA); Aug2024, Vol. 4 Issue 3, p532-540, 9p
Publication Year :
2024

Abstract

In various fields, including the selection of Student Activity Units on campus, Decision Support Systems (DSS) have become an important tool to assist the decisionmaking process. SPK provides information and analysis that is structured and easy to understand, thereby helping decision-makers to choose SMEs that best suit their interests, talents, and goals. Choosing the right Student Activity Units for students can contribute to the development of their personal qualities and help develop a variety of social and professional skills. Using the Certainty Factor method in creating a Decision Support System to assist students in choosing Student Activity Units that are most relevant to their desired interests and talents. The Certainty Factor method is an artificial intelligence technique that can overcome uncertainty in data and provide a level of confidence in every decision. Based on trials carried out on several interest and talent characteristics using the Certainty Factor method, percentage results were obtained with a confidence level of 80.26%. Based on the test results, it can be concluded that the expert system created can make it easier to determine talent interests that match student desires. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
27744353
Volume :
4
Issue :
3
Database :
Complementary Index
Journal :
Internet of Things & Artificial Intelligence Journal (IOTA)
Publication Type :
Academic Journal
Accession number :
180190861
Full Text :
https://doi.org/10.31763/iota.v4i3.794