RANCANG BANGUN SISTEM REKOMENDASI BEASISWA MENGGUNAKAN ALGORITMA KLASIFIKASI C4.5 PADA UNIVERSITAS DIAN NUSWANTORO

RAHARJA, YOSOA PUTRA (2014) RANCANG BANGUN SISTEM REKOMENDASI BEASISWA MENGGUNAKAN ALGORITMA KLASIFIKASI C4.5 PADA UNIVERSITAS DIAN NUSWANTORO. Skripsi, Fakultas Ilmu Komputer.

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Abstract

In the last 4 years (2010 - 2013), the number of students in Udinus much as 9289 students. Based on parental income data, there are 1405 income of the parents of students who are in the range of 3 million rupiah. Among students parents income was in the range below the 3 million dollars, 222 students of which have the status of "defaulters". Status defaulter is the status of these students who do not pay the tuition fee. This was due to the economic conditions that are not capable of. Of course, this number can be reduced with the scholarship program. Scholarship is given to a student allowance or as an aid student learning costs. A large number of scholarship applicants led to the difficulty of determining scholarship recipients. Data mining has been proven and widely used to solve various problems that exist either by the application of classification method. This study uses the C4.5 classification algorithm which is an extension of a classification algorithm ID3. From the research proves that C4.5 algorithm can be applied to perform classification based datasets grantee applicants and recipients. The results of the classification and the level of accuracy that is formed depends on the type, number, contents of data sets and the number of partitions of data sets. From the test results, it was found that the amount of the highest accuracy of 92.31% on the data partition as much as 90%

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