2019
DOI: 10.1088/1742-6596/1165/1/012007
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Recommendation Systems for internship place using artificial intelligence based on competence

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Cited by 7 publications
(2 citation statements)
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“…With the development of the recurrent neural network (RNN) network, digital counseling already uses the Elman Recurrent Neural Network (ERNN) network of 110 data, so that it can provide accurate information to the department to make the right decision to evaluate the feasibility of students taking internships outside the region [61] with an accuracy of 87.5%. The next development was tested on 20 people which resulted in 95% accuracy [19]. In other cases, there is research using the Hopfield Neural Network to maximize power flow problems associated with additional costs for optimal solutions [62] which may later be used as a solution for therapy in the counseling world.…”
Section: Methodsmentioning
confidence: 99%
“…With the development of the recurrent neural network (RNN) network, digital counseling already uses the Elman Recurrent Neural Network (ERNN) network of 110 data, so that it can provide accurate information to the department to make the right decision to evaluate the feasibility of students taking internships outside the region [61] with an accuracy of 87.5%. The next development was tested on 20 people which resulted in 95% accuracy [19]. In other cases, there is research using the Hopfield Neural Network to maximize power flow problems associated with additional costs for optimal solutions [62] which may later be used as a solution for therapy in the counseling world.…”
Section: Methodsmentioning
confidence: 99%
“…However, recommendation systems are developed not only to support the educational process within a particular course but also to solve more specific tasks. For instance, in reference [15], the authors introduced a recommendation system for choosing internship placements .…”
Section: An Overview Of Existing Learning Analytics Tools and Practicesmentioning
confidence: 99%