Comparison Of K-Means Method And Fuzzy Clustering Algorithm In Determining Customer Satisfaction Test In Delivery Services

Muhammad Hilman Fakhriza

Abstract


Tanggapan kepuasan pelanggan, tanggapan atau tanggapan yang diberikan oleh konsumen setelah kebutuhannya akan suatu produk atau jasa telah terpenuhi. , maka kualitas layanan menjadi sangat penting untuk persaingan. Perbandingan performansi algoritma clustering dengan pemodelan K-Means Clustering dan pemodelan Fuzzy C-Means didasarkan pada kecepatan proses dan penelusuran parameter perbandingan K-Means dan Fuzzy K-Means mampu menunjukkan hasil yang diusulkan. cara efektif dari hasil pengelompokan. Oleh karena itu, uji komparasi antara kedua metode data mining pada K-mean clustering dan pemodelan Fuzzy K-means adalah untuk menentukan metode algoritma terbaik dalam menganalisis tingkat kepuasan pelanggan dalam jasa pengiriman

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DOI: http://dx.doi.org/10.31000/jika.v5i2.4511

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