Collaborative Filtering untuk memprediksi score Ujian Akhir Siswa di sistem pembelajaran Elektronik
Keywords:
Collaborative Filtering, Person Correlation, Prediction
Abstract
In a lecture activity that becomes meta data to measure students' abilities in a learning process is an assessment component such as attendance, assignments, midterm and final exam. The completeness of values becomes very important to be able to measure the ability of students. For that the blank value must be filled by considering the value of the student and the weight of his close relationship with other students to be able to predict the empty value. In this paper, we will discuss how to predict empty scores with collaborative filtering techniques which are also new in the technique of completing student assessments.
References
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[2] J. Bobadilla, F. Serradilla, and A. Hernando, “Collaborative filtering adapted to recommender systems of e-learning,” Knowledge-Based Syst., vol. 22, no. 4, pp. 261–265, 2009.
[3] M. Nilashi, O. Ibrahim, and K. Bagherifard, “A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques,” Expert Syst. Appl., vol. 92, pp. 507–520, 2018.
[4] P. Kirschner, J. Sweller, and R. Clark, “Why Unguided Learning Does Not Work,” Educ. Psychol., vol. 41, no. 2, pp. 75–86, 2006.
[5] J. Sweller, “Cognitive load during problem solving: Effects on learning,” Cogn. Sci., vol. 12, no. 2, pp. 257–285, 1988.
[6] D. Jannach and T. U. Dortmund, Recommender Systems An introduction Recommender Systems. 2014.
[7] E. Çano and M. Morisio, “Hybrid recommender systems: A systematic literature review,” Intell. Data Anal., vol. 21, no. 6, pp. 1487–1524, 2017.
[8] E. Tnay, A. E. A. Othman, H. C. Siong, and S. L. O. Lim, “The Influences of Job Satisfaction and Organizational Commitment on Turnover Intention,” Procedia - Soc. Behav. Sci., vol. 97, pp. 201–208, 2013.
[9] C. S. Lee, “Diagnostic, predictive and compositional modeling with data mining in integrated learning environments,” Comput. Educ., vol. 49, no. 3, pp. 562–580, 2007.
[10] X. Su and T. M. Khoshgoftaar, “A Survey of Collaborative Filtering Techniques,” Adv. Artif. Intell., vol. 2009, no. Section 3, pp. 1–19, 2009.
[11] K. Peffers et al., “The Design Science Research Process: A Model for Producing and Presenting Information Systems Research,” Proc. First Int. Conf. Des. Res. Inf. Syst. Technol., no. May 2014, pp. 83–106, 2006.
[12] H. H. Hoos, “Machine Learning – Opportunities and Limitations,” 2017.
Published
2019-09-18
How to Cite
Suprapto Putro, E. T. (2019). Collaborative Filtering untuk memprediksi score Ujian Akhir Siswa di sistem pembelajaran Elektronik. Jurnal Ilmu Komputer, 10(02), 1-7. Retrieved from http://45.118.112.109/ojspasim/index.php/ilkom/article/view/152
Section
ilkom
