Hasil Cek Similarity PENERAPAN DATA MINING DALAM MENGELOMPOKKAN DATA RIWAYAT AKADEMIK SEBELUM KULIAH DAN DATA KELULUSAN MAHASISWA MENGGUNAKAN METODE AGGLOMERATIVE HIERARCHICAL CLUSTERING

Harli Trimulya Suandi As, Banu and Zahrotun, Lisna (2021) Hasil Cek Similarity PENERAPAN DATA MINING DALAM MENGELOMPOKKAN DATA RIWAYAT AKADEMIK SEBELUM KULIAH DAN DATA KELULUSAN MAHASISWA MENGGUNAKAN METODE AGGLOMERATIVE HIERARCHICAL CLUSTERING. [Artikel Dosen]

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Abstract

The process of admitting new students at the Faculty of Industrial Technology, Ahmad Dahlan University, which
has a very high number of students entering at the time of admission and graduating students who graduate on time is
still low, causing an imbalance between the ratio of lecturers and students to be large. The number of students using
campus facilities exceeds the capacity, and teaching and learning activities become ineffective. This study uses the
hierarchical clustering method. The stages in this research are from Load Data, Data Cleaning, Data Transformation
with One Hot Encoding method, Euclidean Distance, grouping Agglomerative Hierarchical Clustering. Results testing
Cluster using the Silhouette Coefficient, was also carried out evaluation of patterns, and representation of knowledge.
The study resulted in 158 recommended student data and all of them came from the island of Java and the average
math score was >= 80 on the dataset Informatics, Industry and Electrical, and >= 67 for Chemistry. Obtained the
recommended data with the number of data, respectively 43, 24, 19, and 72 data. The test method Silhouette
Coefficient obtained very good results with the value Silhouette Coefficient according to the study program
respectively of 0.868, 0.883, 0.879, and 0.873.

Item Type: Artikel Dosen
Keyword: Agglomerative Hierarchical Clustering, Clustering, Student Data, Data mining, Silhouette Coefficient
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 04:17
Last Modified: 12 Aug 2023 04:17
URI: http://eprints.uad.ac.id/id/eprint/44609

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