Rosadi, Asyadam Abriel (2025) SISTEM PENGELOMPOKKAN SISWA SMK PGRI 1 KEDIRI BERDASARKAN MINAT DAN PRESTASI DENGAN MENGGUNAKAN METODE K-MEANS CLUSTERING. Undergraduate thesis, Universitas Nusantara PGRI Kediri.
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Abstract
Penelitian ini mengembangkan sistem berbasis web untuk mengelompokkan siswa SMK berdasarkan nilai praktik dan minat karir menggunakan algoritma K-Means Clustering. Data diperoleh dari 26 siswa kelas XI TKJ SMK PGRI 1 Kediri. Proses clustering dilakukan dengan metode Elbow untuk menentukan jumlah cluster optimal (k = 4), dilanjutkan dengan perhitungan jarak Euclidean. Hasil akhir menghasilkan empat kelompok siswa: prestasi tinggi, menengah atas, menengah bawah, dan rendah. Sistem ini dibangun menggunakan Laravel dan Django REST, dilengkapi fitur ekspor data dan rekomendasi tiap cluster. Evaluasi menggunakan Silhouette Score (0,78) dan Dunn Index (0,89) menunjukkan hasil clustering yang baik. Sistem ini mendukung guru dan BK dalam pengambilan keputusan berbasis data.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Uncontrolled Keywords: | K-Means Clustering, Minat Karir, Nilai Praktik, Pengelompokan Siswa, Sistem Pendukung Keputusan. |
| Subjects: | 100 Mathematics and natural science > 123 Computer science 410 Engineering science > 457 Computer engineering 410 Engineering science > 459 Computer science |
| Divisions: | Fakultas Teknik dan Ilmu Komputer > S1-Teknik Informatika |
| Depositing User: | Asyadam Abriel Rosadi |
| Last Modified: | 11 Aug 2026 00:51 |
| URI: | http://repository.unpkediri.ac.id/id/eprint/28861 |
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