Ari Muzakir, Arie (2014) ANALISA DAN PEMANFAATAN ALGORITMA K-MEANS CLUSTERING PADA DATA NILAI SISWA SEBAGI PENENTUAN PENERIMA BEASISWA. In: Seminar Nasional Aplikasi Sains & Teknologi (SNAST) 2014, 15 November 2014, akprind.ac.id. (Submitted)
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Abstract
Education can be said is one of the key formation of qualified human resources. But in fact, there are various problems that exist in the world of education this country. The existence Scholarship is one of the form. Scholarship in question is a scholarship for further education to university level measurement using a favorite with the data value or achievement of students in the school. But not easy to measure these students to be able to obtain a scholarship. One way to measure the value of data on student achievement levels of students. Value is an important component in student learning in the school system, because the value of the student to be one measure of student mastery of the subject matter. Students also become a reference value for decision making. Data values students need to be grouped to distinguish good and bad value with a range of groups of a certain value. The result of grouping these values can be used to create a school policy to provide scholarships. To solve the problems in the above explanation is the utilization of the K-Means Clustering algorithm. K-Means algorithm is the simplest clustering algorithm over other clustering algorithms. This algorithm has the advantages of easy to implement and run, relatively fast, easy to adapt, and the most widely practiced in the data mining tasks. Expected results with k-means clustering method is to determine the data value corresponding student to get a scholarship to college recommendation by using some variables, such as the data rate of students from grade 1 to grade 2 and the data on parental income. The end result is that there is good value group (who will get scholarships) and low grades (which failed). keywords : algorithms, clustering, k-means, scholarships
| Item Type: | Conference or Workshop Item (Paper) |
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| Subjects: | Q Science > Q Science (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Muzakir Ari |
| Date Deposited: | 26 Jun 2015 07:04 |
| Last Modified: | 26 Jun 2015 07:04 |
| URI: | http://eprints.binadarma.ac.id/id/eprint/2299 |
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