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

  • Muhammad Hilman Fakhriza STMIK Nusa Mandiri Jakarta
DOI: https://doi.org/10.31000/jika.v5i2.4511

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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Published
2021-06-20
Issue
Vol. 5 No. 2 (2021): JIKA (Jurnal Informatika)
Section
Articles

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