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  <title>ANALISA KELULUSAN JALUR MANDIRI UNSYIAH MENGGUNAKAN METODE ASSOCIATION RULE MINING</title>
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   <placeTerm type="text">Banda Aceh</placeTerm>
   <publisher>Universitas Syiah Kuala</publisher>
   <dateIssued>2015</dateIssued>
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  <languageTerm type="text">Indonesia</languageTerm>
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 <note>ABSTRAK&#13;
Setiap tahunnya, data calon mahasiswa disimpan pada sebuah database sehingga&#13;
data tersebut menumpuk dan manfaat informasi yang diperoleh dari data tersebut&#13;
berkurang sehingga perlu dilakukan analisa association rule mining. Association&#13;
rule mining merupakan salah satu teknik data mining yang menemukan suatu&#13;
korelasi atau pola yang penting dari sekumpulan data yang besar. Algoritma yang&#13;
digunakan pada penelitian ini adalah algoritma apriori untuk menentukan pola&#13;
kelulusan seorang calon mahasiswa Jalur Mandiri Syiah Kuala (JMU) tahun 2012&#13;
pada suatu jurusan melalui nilai support, confidence, dan lift. Hasil penelitian ini&#13;
salah satu pola terbaik lulus di Jurusan Pendidikan Kedokteran yaitu (Pendidikan&#13;
Dokter, Pendidikan Dokter Gigi, Teknik Industri), Informatika yaitu (Ilmu&#13;
Kelautan, Informatika, Pendidikan Kimia), Farmasi yaitu (Farmasi, Ilmu&#13;
Keperawatan, Psikologi), Ilmu Keperawatan yaitu (Ilmu Keperawatan, Pendidikan&#13;
Biologi, Pendidikan Fisika) , dan Manajemen yaitu (Manajemen, Pendidikan&#13;
Bahasa dan Sastra Indonesia, Sosiologi). Penggunaan data penelitian mahasiswa&#13;
melalui jalur lain seperti Seleksi Nasional Masuk Perguruan Tinggi Negeri&#13;
(SNMPTN), dan Seleksi Bersama Masuk Perguruan Tinggi Negeri (SBMPTN)&#13;
perlu dianalisa lebih lanjut supaya perbedaan pola association rule yang terbentuk&#13;
dapat diketahui.&#13;
Kata kunci : Association rule, apriori, support, confidence, lift.&#13;
ABSTRACT&#13;
Every year, the data of prospective students is stored in a database, it makes the&#13;
database full of data but only less information can be obtained from these data, so&#13;
the data need to be analyzed using association rule mining. Association rule&#13;
mining is one of data mining techniques that find a correlation or pattern that is&#13;
important from a large set of data. The algorithm used in this study is apriori&#13;
algorithm to define pattern of prospective student that past the Independent Strip&#13;
Syiah Kuala (JMU) in 2012 test through the value of support, confidence and lift.&#13;
Results of this research one of the best pass pattern at the the medical education is&#13;
(Education Doctor, Dentist Education, Industrial Engineering), Informatics is&#13;
(Marine Sciences, Informatics, Chemistry), Pharmacy is (pharmacy, Nursing,&#13;
Psychology), Nursing Education is (Nursing Education, Biology Education,&#13;
Physics Education), and Management is (Management, Education Indonesian&#13;
Language and Literature, Sociology). The use of student research data through&#13;
other channels such as the National Selection Entrance State University&#13;
(SNMPTN) and and the Joint Selection Entrance State University (SBMPTN)&#13;
need to be analyzed further so that differences in the pattern formed association&#13;
rule can be known.&#13;
Keyword : Association rule, apriori, support, confidence, lift.</note>
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