Perbandingan Kewajaran dan Kepantasan Harga Penginapan dengan Analisis Statistik Geospasial dan Kecerdasan Buatan, Studi Kasus Pulau Bali sebagai Destinasi Wisata Utama
Keywords:
Analisis Statistik Geospasial, Kecerdasan Buatan, Harga Penginapan, Pariwisata, Pulau BaliAbstract
Pulau Bali, sebagai destinasi pariwisata utama di Indonesia, menarik jutaan wisatawan setiap tahunnya. Penentuan harga penginapan yang sesuai dengan kualitas dan lokasi menjadi tantangan bagi pengusaha penginapan di Bali. Penentuan harga penginapan merupakan aspek krusial dalam industri perhotelan dan sektor pariwisata, yang harus mempertimbangkan lokasi geografis, fasilitas, kepuasan pelanggan, serta sarana dan prasarana di sekitarnya. Penelitian ini bertujuan menjelajahi dan membandingkan metode penentuan harga penginapan, melalui analisis statistik geospatial dan algoritma AI. Dengan pemahaman mendalam terhadap faktor-faktor yang memengaruhi harga penginapan, penelitian ini berupaya memberikan solusi yang akurat dan efisien dalam penentuan harga penginapan. Analisis statistik geospatial menunjukkan bahwa nilai rata-rata harga penginapan sejenis memiliki hubungan terbaik dengan seluruh algoritma AI yang digunakan. Algoritma AI yang paling sesuai dengan hasil analisis statistik geospatial adalah kelompok algoritma prediksi pada radius 3 km, dengan nilai korelasi sebesar 0.565171. Namun, perlu diperhatikan bahwa hasil penelitian ini mungkin kurang akurat akibat distorsi data yang berasal dari penginapan yang memasang harga tidak wajar. Fenomena ini dapat berdampak signifikan terhadap hasil analisis.
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