IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA
<p>Informatics Engineering Program University of Widyagama Malang has many volume of student databases. When properly excavated, so can known patterns or knowledge for a decision-making. Data that can be explored is the understanding of information about graduation students. This research to p...
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| Format: | Article |
| Language: | Indonesian |
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Universitas Merdeka Malang
2018-01-01
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| Series: | Jurnal Teknologi dan Manajemen Informatika |
| Subjects: | |
| Online Access: | http://jurnal.unmer.ac.id/index.php/jtmi/article/view/1894 |
| _version_ | 1818294827871109120 |
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| author | Irham Kurnawan Fitri Marisa Purnomo Purnomo |
| author_facet | Irham Kurnawan Fitri Marisa Purnomo Purnomo |
| author_sort | Irham Kurnawan |
| collection | DOAJ |
| description | <p>Informatics Engineering Program University of Widyagama Malang has many volume of student databases. When properly excavated, so can known patterns or knowledge for a decision-making. Data that can be explored is the understanding of information about graduation students. This research to predict the passing rate of students with more efficient time, which can be known before the student graduated so that can be evaluated in their studies, especially in Informatics Engineering University of Widyagama. In this case using association methods and Apriori algorithm. This method calculates the support value that is the supporting value of an item with big golden rule 60% of the data of course grade. The results of this study to help universities improving the quality of education and help in knowing the information about the graduation rate of students based on the value of the subjects and achievement index obtained by students in Informatics Engineering course University of Widyagama Malang</p><p><strong>DOI:</strong> <a href="https://doi.org/10.26905/jtmi.v4i1.1894">https://doi.org/10.26905/jtmi.v4i1.1894 </a><span class="dropdown"><a class="dropdown-toggle" href="https://search.crossref.org/?q=jtmi&published=2018&container-title=Jurnal+Teknologi+dan+Manajemen+Informatika&page=1"></a></span></p> |
| first_indexed | 2024-12-13T03:37:56Z |
| format | Article |
| id | doaj.art-595bce4f9ed842889a0c18f616beb2d3 |
| institution | Directory Open Access Journal |
| issn | 1693-6604 2580-8044 |
| language | Indonesian |
| last_indexed | 2024-12-13T03:37:56Z |
| publishDate | 2018-01-01 |
| publisher | Universitas Merdeka Malang |
| record_format | Article |
| series | Jurnal Teknologi dan Manajemen Informatika |
| spelling | doaj.art-595bce4f9ed842889a0c18f616beb2d32022-12-22T00:01:00ZindUniversitas Merdeka MalangJurnal Teknologi dan Manajemen Informatika1693-66042580-80442018-01-014110.26905/jtmi.v4i1.18941217IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWAIrham Kurnawan0Fitri Marisa1Purnomo Purnomo2Jurusan Teknik Informatika, Universitas Widyagama MalangJurusan Teknik Informatika, Universitas Widyagama MalangJurusan Teknik Informatika, Universitas Widyagama Malang<p>Informatics Engineering Program University of Widyagama Malang has many volume of student databases. When properly excavated, so can known patterns or knowledge for a decision-making. Data that can be explored is the understanding of information about graduation students. This research to predict the passing rate of students with more efficient time, which can be known before the student graduated so that can be evaluated in their studies, especially in Informatics Engineering University of Widyagama. In this case using association methods and Apriori algorithm. This method calculates the support value that is the supporting value of an item with big golden rule 60% of the data of course grade. The results of this study to help universities improving the quality of education and help in knowing the information about the graduation rate of students based on the value of the subjects and achievement index obtained by students in Informatics Engineering course University of Widyagama Malang</p><p><strong>DOI:</strong> <a href="https://doi.org/10.26905/jtmi.v4i1.1894">https://doi.org/10.26905/jtmi.v4i1.1894 </a><span class="dropdown"><a class="dropdown-toggle" href="https://search.crossref.org/?q=jtmi&published=2018&container-title=Jurnal+Teknologi+dan+Manajemen+Informatika&page=1"></a></span></p>http://jurnal.unmer.ac.id/index.php/jtmi/article/view/1894data mining, apriori, tingkat kelulusan |
| spellingShingle | Irham Kurnawan Fitri Marisa Purnomo Purnomo IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA Jurnal Teknologi dan Manajemen Informatika data mining, apriori, tingkat kelulusan |
| title | IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA |
| title_full | IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA |
| title_fullStr | IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA |
| title_full_unstemmed | IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA |
| title_short | IMPLEMENTASI DATA MINING DENGAN ALGORITMA APRIORI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA |
| title_sort | implementasi data mining dengan algoritma apriori untuk memprediksi tingkat kelulusan mahasiswa |
| topic | data mining, apriori, tingkat kelulusan |
| url | http://jurnal.unmer.ac.id/index.php/jtmi/article/view/1894 |
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