@thesis{thesis,
		author={DISKA   RENATA PUTRI},
		title ={IDENTIFIKASI TINGKAT KELULUSAN MAHASISWA MENGGUNAKAN METODE CLUSTERING  ALGORITMA K-MEANS
},
		year={2013},
		url={http://eprints.upnjatim.ac.id/5966/},
		abstract={In education today, especially UPN ?Veteran? East Java required to have a competitive eminence by utilizing their resources. As well as information to find out the graduation
rates of the students, during the Industrial Engineering department has set the standard as a benchmark 3.5 year of student graduation. But it has not known whether the limit of the standard has been filled.
Therefore, this research applies the K-means clustering algorithm aimed at grouping the students to identify for student?s graduation rate of Industrial Engineering UPN "Veteran" East Java, especially the class of 2010.
From the results of research using the K-means clustering algorithm is known the 76 students of Industrial Engineering UPN "Veteran" East Java that can be identified in a timely graduation is 3.5 years was 34% of students. While passing 4 to 7 years of graduation by 66% of students.

Key: Clustering, K-means Algorithm, Identify of students? graduation rate 
}
		}