EDUCATIONAL DATA MINING (KONSEP DAN PENERAPAN)
Abstract
Electronic Learning (E-Elarning), especially Web-based learning or intelligent tutorial system has yielded information about the interaction between students and the system. This information is stored in a database in the form of a web log. Within a certain period it will be a large amount of information. From the collection of large amounts of data that can be explored using data mining methods to generate new patterns that can be useful for improving the effectiveness of computer-based learning process. This paper will discuss how data mining can be utilized to improve the effectiveness of computer-based learning process. In its application the data will be processed in three stages: the collection, transformation, and analysis. Then the techniques used in the analysis algorithm is Association rules, classification, and clustering.
Keywords: data mining, Educational data mining, E-Learning
References
Ayub, Mewati. 2007. “Proses data mining dalam pembelajaran berbanuan komputer”. Vol 2. No. 1. Jurnal Sistem Informasi. Universitas Kristen Maranatha.
Davies, and Paul Beynon, 2004, “Database Systems Third Edition”, Palgrave Macmillan, New York.
Han, J. and Kamber, M, 2006, “Data Mining Concepts and Techniques Second
Edition”. Morgan Kauffman, San Francisco.
Merceron, A., Yacef, K. (2005). Educational Data Mining : a Case Study, http://www.it.usyd.edu.au/~kalina/publis/merceron_yacef_aied0
Nilakant, K. (2004). Application of Data Mining in Constraint Based Intelligent Tutoring System, www.cosc.canterbury.ac.nz/research/reports/HonsReps/2004/hons_04
Pramudiono, I., 2007, Algoritma Apriori, http://datamining.japati.net/cgi- bin/indodm.cgi?bacaarsip&1172210143 Di
Pramudiono, I. 2007. Pengantar Data Mining : Menambang Permata Pengetahuan di Gunung Data. http://www.ilmukomputer.org/wp- content/uploads/2006/08/iko-datamining.zip.
Santosa, Budi, 2007, “Data Mining Teknik Pemanfaatan Data untuk Keperluan Bisnis”, Graha Ilmu, Yogyakarta.
Witten, I. H and Frank, E. 2005. Data Mining : Practical Machine Learning Tools and Techniques Second Edition. Morgan Kauffman : San Francisco