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Classification Algorithm for Predicting the Graduation Level: Case Study of e-Learning in Telkom University

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Intelligent Sustainable Systems

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 578))

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Abstract

E-learning is one of the technologies used to support the learning process in university level. Telkom University with the university base on technology, Telkom University so intensively apply the learning using e-learning in order to become effective and efficient method. E-learning is used to reduce the cost and time spent learning in an offline class. With e-learning a review system can be done anywhere, because students do not need to come to the classroom to study. Simply by passing the Internet network can already attend the class. With the existing data in the e-learning system can be obtained some information by processing the existing data. This research will be predictions of student data contained in e-learning to determine the performance of algorithms C4.5, Naïve Bayes and Bayesian network, which will be used to determine what factors affect the level of graduation of students to a course. The process will go through several stages of data retrieval, preprocessing and classification, and the process will be done gradually to get the results of all the process.

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Authors and Affiliations

  1. Department of Information System, Telkom University, Bandung, Indonesia

    M. Azani Hasibuan, Rachmadita Andreswari, Muharman Lubis, Fikli Perdana & Hanif Fakhrurroja

Authors
  1. M. Azani Hasibuan
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  2. Rachmadita Andreswari
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  3. Muharman Lubis
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  4. Fikli Perdana
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  5. Hanif Fakhrurroja
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Corresponding author

Correspondence to Muharman Lubis .

Editor information

Editors and Affiliations

  1. School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK

    Atulya K. Nagar

  2. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  3. Department of Computer Science and Engineering, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Hasibuan, M.A., Andreswari, R., Lubis, M., Perdana, F., Fakhrurroja, H. (2023). Classification Algorithm for Predicting the Graduation Level: Case Study of e-Learning in Telkom University. In: Nagar, A.K., Singh Jat, D., Mishra, D.K., Joshi, A. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 578. Springer, Singapore. https://doi.org/10.1007/978-981-19-7660-5_28

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