863 PENERAPAN ALGORITMA K-MEANS CLUSTERING DALAM PENENTUAN JURUSAN SISWA SMA YANG BERBASIS WEB (STUDI KASUS SMA 1 CISARUA BOGOR)
Keywords:
Data Mining, K-Means clustering, SMA 1 CisaruaAbstract
SMAN 1 Cisarua Bogor is a high school education that prioritizes the preparation of students to continue their education to a higher level with specialization. The manifestation of this specialization is in the form of majors that include majors in Natural Sciences (IPA) and Social Sciences (IPS). However, in the process of determining these majors the school still uses the manual method in processing student academic data, so it takes a long time to find out the results of student majors. Therefore we need the application of data mining technology. One of them is clustering using the K-Means Clustering algorithm. The k-means algorithm has a high accuracy so it is very efficient in processing large amounts of data. The results of the study were obtained from 324 students who were clustered based on the value of psychological tests and majors' interests, 183 students entered the science department and 141 students entered the social studies department with an accuracy rate of 71.3%.
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