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All Journal Jurnal Ilmiah Teknologi Informasi Asia
Mufidatul Islamiyah
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Computer Science & IT

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Pemanfaatan Metode Based Collaborative Filtering Untuk Rekomendasi Wisata Di Kabupaten Malang Mufidatul Islamiyah; Puji Subekti; Titania Dwi Andini
Jurnal Ilmiah Teknologi Informasi Asia Vol 13 No 2 (2019): Volume 13 Nomor 2 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (445.566 KB) | DOI: 10.32815/jitika.v13i2.70

Abstract

Tourist information in Malang district has not been widely spread on the internet, making it difficult for tourists to determine tourist destination in Malang district that will be visited. Therefore, this recommendation system was built to provide information about tourism in Malang district using the item based collaborative filtering method. The item based collaborative filtering method has the advantage of being able to increase the accuracy of the resulting object recommendations. Results from the questionnaire test that has been done, it is obtained that the tourism recommendation system is useful with the benefit level reaching 86.35% and in the item based collaborative filtering method test using the manual method in Excel and in the system produces the same predictive value namely prediction 1 with a value of 3.562, prediction 2 with a value of 3.287, and prediction 3 with a value of 1.896.
Co-Authors Puji Subekti Titania Dwi Andini