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      "date": "2026-02-23",
      "abstract": "Perilaku pembelian konsumen bersifat dinamis dan dipengaruhi oleh faktor\r\nwaktu, sehingga pola transaksi pada suatu periode sering kali tidak lagi relevan pada\r\nperiode berikutnya. Kondisi tersebut menyebabkan sistem rekomendasi produk\r\nbundling yang bersifat statis cenderung menghasilkan kombinasi produk yang\r\nkurang optimal dalam mendukung peningkatan nilai penjualan. Berdasarkan\r\npermasalahan tersebut, penelitian ini mengembangkan sistem rekomendasi produk\r\nbundling dengan mengintegrasikan algoritma Apriori dan Association Rule\r\nTemporal agar rekomendasi yang dihasilkan selaras dengan perubahan pola\r\npembelian dari waktu ke waktu. Tahapan penelitian meliputi pengolahan data\r\ntransaksi untuk memperoleh frequent itemset menggunakan algoritma Apriori\r\nsebagai dasar penyusunan aturan asosiasi. Selanjutnya, dimensi temporal\r\nditerapkan melalui Association Rule Temporal dengan membagi dataset ke dalam\r\ninterval waktu tertentu, sehingga pola pembelian musiman atau periodik dapat\r\nteridentifikasi secara lebih rinci. Aturan asosiasi pada setiap interval dianalisis\r\nuntuk menghasilkan rekomendasi bundling yang sesuai dengan karakteristik\r\ntransaksi pada periode tersebut. Hasil penelitian menunjukkan bahwa integrasi\r\nalgoritma Apriori dan Association Rule Temporal menghasilkan rekomendasi\r\nproduk bundling yang lebih relevan, adaptif terhadap perubahan pola pembelian,\r\nserta lebih efektif dibandingkan sistem rekomendasi statis. Sistem ini memberikan\r\ndukungan analitis yang dapat dimanfaatkan oleh pelaku usaha retail maupun e-\r\ncommerce dalam menyusun strategi bundling yang responsif terhadap dinamika\r\nperilaku konsumen.",
      "thesis_type": "bachelor",
      "thesis_name": "skripsi",
      "keywords": "Sistem rekomendasi, produk bundling, Apriori, Association Rule \r\nTemporal, pola pembelian, recommendation system, product bundling, Apriori, Temporal\r\nAssociation Rule, purchasing patterns.",
      "status_changed": "2026-07-13 06:59:23"
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