Analisis Teknik Data Mining “Algoritma C4.5 Dan K-Nearest Neighbor†Untuk Mendiagnosa Penyakit Diabetes Mellitus

Authors

  • Karyono STMIK AMIKOM Purwokerto

Keywords:

Diabetes Mellitus, Algoritma C4.5, KNearest Neighbor (KNN)

Abstract

Penyakit diabetes mellitus (DM) merupakan masalah kesehatan yang serius baik di Indonesia maupun di dunia. Teknik data mining telah banyak dilakukan untuk membantu diagnosa penyakit diabetes mellitus. Makalah ini berisi perbandingan algortima C4.5 dan K-Nearest Neighbor (KNN) yang digunakan untuk mendiagnosa penyakit diabetes mellitus. Data set yang digunakan indian pima. Hasil penelitian menunjukan 76.105% dengan nilai precision 0.755%, recall 0.761%, F-measure 0.755% pada algoritma C4.5 dan 79.1436% pada algoritma KNN dengan precision 0.788%, recall 0.791%, F-measure 0.789%
Kata kunci – Diabetes Mellitus, Algoritma C4.5, KNearest
Neighbor (KNN)

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Vol. 1 No. 1 (2016): SNTIBD IT Desain 2016

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