Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Vol. 2 No. 4 (2024): November : Jurnal Ilmu Komputer Dan Teknologi Informasi

Analisis KNN untuk Tempat Rekomendasi Tempat Wisata Sumba Barat

Paschal Wungo (Unknown)
Gergorius Kopong Pati (Unknown)
Karolus Wulla Rato (Unknown)



Article Info

Publish Date
10 Oct 2024

Abstract

The growth of the internet has influenced the tourism industry because the internet makes it easier for individuals to obtain reviews about places to visit and because the internet is a tool used by tourist site managers to assess the quality of their offerings. The increase in the number of tourists of almost two million in just three years in West Sumba is proof of this influence. Social media is a tool that people use to interact with each other online; some people have multiple accounts on platforms such as Instagram, WhatsApp, Facebook, Telegram, Twitter, and so on. Tourists can receive recommendations for tourist attractions based on price and type of trip desired through a tourist attraction recommendation system that uses the KNN algorithm. Three factors were used in this research: activity, type of tourism, and type of price. An accuracy of 63.16% is found in the test results using the KNN algorithm and the Rapid Miner application with a K value of 5. The analysis results show that the K-Nearest Neighbor (K-NN) approach can be used as a guideline for recommending tourist destinations to visitors in West Sumba.

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Journal Info

Abbrev

Neptunus

Publisher

Subject

Computer Science & IT

Description

hasil-hasil penelitian di bidang Ilmu Komputer Dan Teknologi Informasi. Neptunus : Jurnal Ilmu Komputer Dan Teknologi Informasi berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang Ilmu Komputer Dan Teknologi ...