Kurnia, Herri and Zahrotun, Lisna and Linarti, Utaminingsih (2021) Hasil Cek similarity Pengelompokan Mahasiswa Berdasarkan Data Akademik Sebelum Kuliah dan Masa Studi Menggunakan K-Medoids. [Artikel Dosen]
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Abstract
The research objective is to obtain information about the results of grouping
that are useful for the campus, especially study programs, to be used as
consideration for future admissions by grouping, causing a mismatch between
the number of students and the existing campus facilities. This research was
conducted at university X which has several faculties, one of which is faculty
Y which consists of the R study program, S study program, T study program
and U study program. This research uses the K-Medoids method. The stages of
this research started with load dataset, data cleaning, data selection, data
transformation with one hot encoding, euclidean distance, and k-medoids to
produce clusters. Testing the quality of the clusters in this study using the
silhouette coefficient. The research resulted in recommended student data and
all of them came from Java Island. In the dataset of study programs R, S, and
U, the recommended data are obtained with a total number of 9, 57, and 64,
respectively, which have an average math score of at least 82. Meanwhile, for
the T study program dataset, there are 35 data with an average mathematical
value. amounted to 73.89. The test results for the dataset of study programs R,
S, T and U are 0.52, 0.67, 0.35, and 0.65 respectively, so the results are quite
good
| Item Type: | Artikel Dosen |
|---|---|
| Keyword: | K-Medoids, Silhouette Coefficient, One Hot Encoding, Euclidean Distance, Cluster |
| Subjects: | T Technology > T Technology (General) |
| Divisi / Prodi: | Faculty of Industrial Technology (Fakultas Teknologi Industri) > S1-Informatics Engineering (S1-Teknik Informatika) |
| Depositing User: | Mrs. Lisna Zahrotun |
| Date Deposited: | 12 Aug 2023 04:13 |
| Last Modified: | 12 Aug 2023 04:13 |
| URI: | http://eprints.uad.ac.id/id/eprint/44606 |
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