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      "department": "Fakultas Ilmu Komputer",
      "keywords": "Sistem Rekomendasi, Pariwisata Magelang, Collaborative \r\nFiltering, Matrix Factorization, RMSE, Recommendation System, Magelang Tourism.",
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      "date": "2026-01-26",
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      "abstract": "Kabupaten Magelang memiliki potensi pariwisata yang sangat besar dengan\r\nberagam destinasi wisata alam, budaya, dan sejarah. Namun, banyaknya pilihan\r\ndestinasi sering menyebabkan wisatawan mengalami kesulitan dalam menentukan\r\ntempat wisata yang sesuai dengan minat dan preferensi pribadi. Kondisi ini\r\ndiperparah oleh keterbatasan sistem informasi wisata yang mampu memberikan\r\nrekomendasi secara personal dan relevan berdasarkan pengalaman pengguna\r\nsebelumnya.\r\nPenelitian ini bertujuan untuk mengembangkan sistem rekomendasi wisata\r\nKabupaten Magelang menggunakan metode Collaborative Filtering dengan\r\nalgoritma Matrix Factorization. Data yang digunakan berupa data sekunder rating\r\npengguna terhadap destinasi wisata yang diperoleh dari platform Kaggle. Tahapan\r\npenelitian meliputi pengumpulan data, preprocessing, pembentukan matriks\r\npengguna–item, proses pelatihan model menggunakan algoritma Matrix\r\nFactorization, serta evaluasi kinerja sistem. Evaluasi dilakukan menggunakan\r\nbeberapa metrik kuantitatif, yaitu Root Mean Square Error (RMSE), Mean\r\nAbsolute Error (MAE), Mean Squared Error (MSE), dan Mean Absolute\r\nPercentage Error (MAPE). Sistem rekomendasi kemudian diimplementasikan\r\ndalam bentuk aplikasi web interaktif berbasis Streamlit.\r\nHasil penelitian menunjukkan bahwa sistem rekomendasi yang dibangun\r\nmampu memberikan rekomendasi destinasi wisata yang relevan sesuai dengan\r\npreferensi pengguna. Nilai evaluasi yang diperoleh menunjukkan bahwa algoritma\r\nMatrix Factorization memiliki tingkat akurasi prediksi yang baik dalam\r\nmemodelkan preferensi pengguna meskipun data bersifat sparse. Sistem ini\r\ndiharapkan dapat membantu wisatawan dalam menentukan destinasi wisata secara\r\nlebih efektif serta menjadi sarana pendukung promosi digital pariwisata di\r\nKabupaten Magelang. Penelitian ini juga dapat menjadi referensi untuk\r\npengembangan sistem rekomendasi wisata berbasis data pada penelitian\r\nselanjutnya."
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