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      "title": "SISTEM REKOMENDASI PRODUK E-COMMERCE BERBASIS\r\nCOLLABORATIVE FILTERING",
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        "Universitas AMIKOM Yogyakarta"
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            "given": "Aulia Rizki",
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      "lastmod": "2026-09-24 03:54:24",
      "abstract": "Perkembangan e-commerce di era digital telah mengubah perilaku konsumen dalam\r\nmelakukan pembelian produk secara online. Banyaknya pilihan produk yang tersedia\r\nsering kali membuat pengguna mengalami kesulitan dalam menentukan produk yang\r\nsesuai dengan kebutuhan dan preferensi mereka. Oleh karena itu, diperlukan sistem\r\nrekomendasi yang mampu memberikan saran produk yang relevan dan bersifat\r\npersonal. \r\nPenelitian ini membahas pengembangan sistem rekomendasi produk e-commerce\r\nberbasis Collaborative Filtering. Metode Collaborative Filtering digunakan untuk\r\nmenganalisis preferensi pengguna berdasarkan riwayat interaksi serta tingkat\r\nkesamaan perilaku antar pengguna dalam memberikan penilaian terhadap produk.\r\nSistem yang dikembangkan diuji menggunakan dataset e-commerce untuk\r\nmengevaluasi kemampuannya dalam menghasilkan rekomendasi yang tepat dan\r\nsesuai dengan preferensi pengguna. \r\nHasil penelitian menunjukkan bahwa sistem rekomendasi yang dibangun mampu\r\nmemberikan rekomendasi produk yang relevan, membantu pengguna dalam\r\nmenemukan produk yang diinginkan dengan lebih cepat, serta meningkatkan\r\npengalaman berbelanja secara online. Selain itu, penerapan sistem rekomendasi ini\r\njuga berpotensi meningkatkan penjualan dan loyalitas pelanggan. Dengan demikian,\r\nimplementasi Collaborative Filtering dapat menjadi solusi yang efektif dalam\r\nmendukung pengambilan keputusan pembelian di tengah persaingan industri\r\ne-commerce yang semakin kompetitif.",
      "date": "2026-06-19"
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