Skripsi

CLUSTERING KUNJUNGAN WISATAWAN MANCANEGARA DI INDONESIA DENGAN METODE DBSCAN

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Penilaian

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The tourism sector is one of the sectors that affects approximately 4% of the total economy in Indonesia. One of them is the activity of visits from foreign tourists to Indonesia which always fluctuates every year, especially during the Covid-19 pandemic which caused a drastic decline. This research discusses the Clustering of Foreign Tourist Visits in Indonesia with the DBSCAN Method. The data source of this research is collected from data on the number of foreign tourist visits to BPS (Central Bureau of Statistics) from 2018-2023. Data mining with DBSCAN was chosen because of its ability to detect noise and produce clusters without the need to determine the number of clusters at the beginning, and is effective for data with high diversity. This research aims to identify countries with high or low enthusiasm in visiting Indonesia. The clustering results produced two clusters with the first cluster containing 229 countries with low visitation rates and the second cluster containing 2 countries with high visitation rates, and one noise with the smallest DBI evaluation value of 0.478976 as the result of the optimal number of clusters.

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Availability

Inventory Code	Barcode	Call Number	Location	Status
2407004032	T149799	T1497992024	Central Library (REFERENCES)	Available but not for loan - Not for Loan

Detail Information

Series Title

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Call Number

T1497992024

Publisher

Indralaya : Jurusan Teknik Informatika, Fakultas Ilmu Komputer Universitas Sriwijaya., 2024

Collation

xv, xviii hlm.; ilus.; tab.; 29 cm

Language

Indonesia

ISBN/ISSN

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Classification

910.920 7

Content Type

Text

Media Type

unmediated

Carrier Type

unspecified

Edition

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Subject(s)

Data mining
Jurusan Teknik Informatika

Specific Detail Info

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Statement of Responsibility

UIN YOLA

Other version/related

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