PENENTUAN JUMLAH OPERATOR YANG OPTIMAL
DENGAN METODE SIMULASI
DI CV. FERTILINDO AGROLESTARI
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Institusion
Universitas Pembangunan Nasional Veteran Jawa Timur
Author
BAGUS , WIJAYA
Subject
HD Industries. Land use. Labor
Datestamp
2015-02-12 07:58:29
Abstract :
This research is to perform clustering of activity in the central library book borrowers UPN "Veteran" East Java from a variety of majors. Based on borrowing books at the library circulation center UPN "Veteran" East Java, for 3 months are June, July and September is 1922 data. The center?s library UPN "Veteran" East Java don?t know of any department that perform activities as a borrower of books and book groups which are much borrowed. So it can?t be recommended priority groups to be reproduced. Given these problems , then conducted research grouping and group borrower are many books borrowed by k-means clustering method to support the teaching and learning process. This research were obtained 3 clusters. Data in cluster 1 (less active) there are 778 students , cluster 2 (moderately active) there are 267 students and cluster 3 (active) there are 877 students. For groups that are often borrowed books from the 3 cluster is a applied technology in technology management especially accounting and general management. Keywords : borrowers, library books, cluster, k-means clustering
This research is to perform clustering of activity in the central library book borrowers UPN "Veteran" East Java from a variety of majors. Based on borrowing books at the library circulation center UPN "Veteran" East Java, for 3 months are June, July and September is 1922 data. The center?s library UPN "Veteran" East Java don?t know of any department that perform activities as a borrower of books and book groups which are much borrowed. So it can?t be recommended priority groups to be reproduced. Given these problems , then conducted research grouping and group borrower are many books borrowed by k-means clustering method to support the teaching and learning process. This research were obtained 3 clusters. Data in cluster 1 (less active) there are 778 students , cluster 2 (moderately active) there are 267 students and cluster 3 (active) there are 877 students. For groups that are often borrowed books from the 3 cluster is a applied technology in technology management especially accounting and general management. Keywords : borrowers, library books, cluster, k-means clustering
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