Perbandingan Metode SOM/Kohonen dengan ART 2 pada Data Mining Perusahaan Retail

  • Anak Agung Gede Bagus Ariana
  • I Ketut Gede Darma Putra Universitas Udayana
  • Linawati Linawati

Abstract

Intisari—Penelitian ini ingin mengetahui unjuk kerja metode clustering data berbasis jaringan saraf tiruan. Menggunakan data set profil pelanggan UD. Fenny tahun 2009 dengan atribut Recency, Frequency dan Monetary. Metode clustering yang dibandingkan pada penelitian ini adalah Self Organizing Map dan Adaptive Resonance Theory 2. Evaluasi kinerja metode dilakukan dengan mengukur validasi index dari cluster yang terbentuk. Validasi cluster yang digunakan antara lain Indeks Davies-Bouldin, Indeks Dunn dan Indeks Silhouette. Hasil pengujian menunjukkan metode Self Organizing Map lebih baik dalam melakukan proses clustering data.


 


 

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Published
2017-08-31
How to Cite
ARIANA, Anak Agung Gede Bagus; DARMA PUTRA, I Ketut Gede; LINAWATI, Linawati. Perbandingan Metode SOM/Kohonen dengan ART 2 pada Data Mining Perusahaan Retail. Majalah Ilmiah Teknologi Elektro, [S.l.], v. 16, n. 2, p. 55-59, aug. 2017. ISSN 2503-2372. Available at: <https://ojs.unud.ac.id/index.php/jte/article/view/ID24040>. Date accessed: 28 mar. 2024. doi: https://doi.org/10.24843/MITE.2017.v16i02p10.

Keywords

Data Mining; Jaringan Saraf Tiruan; Self Organizing Map; Adaptive Resonance Theory 2