IMPLEMENTASI ALGORITMA KMEANS SEBAGAI SARAN PENJURUSAN SISWA (Studi Kasus SMAN 8 Malang)

Main Author: ARIFIANA, LISTA
Format: Thesis NonPeerReviewed
Terbitan: , 2011
Subjects:
Online Access: http://eprints.umm.ac.id/19021/
Daftar Isi:
  • Problems majors of Senior High School based on the values attribute often make teachers feel difficult in classifying each student who entered the majors in natural science, social science, and language because of many attribute values is compared. To solve this clustering problem using method of K-Means algorithm. K-Means is one of method clustering data to partition data have the same characteristics are grouped into one cluster the same . K-Means is a non-hierarchical clustering method based on the distance that divides the data into clusters and the algorithm is working on numerical attributes. It is expected that with the existence of this software can provide information for teachers and students about majors for each student. This application as suggestions rather than determinant in the decision.