BAB 5 : KESIMPULAN DAN SARAN
5.2. Saran
Adapun saran yang diberikan pada penelitian ini adalah sebagai berikut:
1. Metode yang diusulkan memiliki parameter penting yaitu nilai korelasi yang diuji dengan rentang nilai tertentu. Metode ini dapat bekerja lebih efektif dengan melakukan optimasi menggunakan metode lain dalam penentuan nilai korelasi yang sesuai, seperti: algoritma genetika atau particle swarm optimization (PSO).
2. Penentuan hasil klasifikasi data sangat berpengaruh terhadap titik pusat cluster yang diperoleh. Perhitungan titik pusat cluster yang tidak tepat pada FCM akan menurunkan tingkat akurasi klasifikasi data. Sehingga, perlu dilakukannya teknik kombinasi lainnya pada FCM untuk menentukan titik pusat cluster yang sesuai dan mampu meningkatkan akurasi klasifikasi data pada algoritma kNN.
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