Ekstraksi Pola Hubungan Penerimaan Mahasiswa Baru Dengan Sebaran Wilayah Asal Sekolah Menggunakan ARM Algoritma Apriori
Abstract: Competition between
Private Universities (PTS) to get new students increasingly tight course,
making the marketing department at any educational institution undertake
various promotional model that is exciting and innovative, plus competitors
from new opening cooperation Asean Economic Community (AEC). One of the
breakthrough strategies undertaken apart from the various models of the
promotion is to open up the new student registration database that has been
saved to be sufficiently large. The goal is to get a pattern of relationships
between data on the attributes of the student database. Patterns can provide
prefix information (knowledge base) as a base to get a map of the area students
who apply to the Banks Association Institute. To get the pattern diekstark database
using data mining techniques with association rule mining and algorithms
priori.this research uses secondary data that already exists in Marketing
Bureau and the Bureau of PTI, the entire database of students who enroll in
PERBANAS Institute in period of 3 years (2013-2015. The results of data
processing using data mining, can describe patterns of relationships between
data attributes are selected, which describes the distribution area prospective
students who apply and are accepted on any existing courses at the Institute
Banks Association. This pattern can be used to help define marketing strategies
on the Bureau to create a campaign targeted at high school and equivalent
territory of origin as prospective new student Perbanas Institute.
Penulis: deden prayitno
Kode Jurnal: jptinformatikadd170249
