Siti sa'uda, oda (2022) PENERAPAN METODE CLUSTERING DALAM ANALISIS DATA EVENT PARIWISATA TERHADAP KUNJUNGAN WISATA DI KOTA PALEMBANG. PENERAPAN METODE CLUSTERING DALAM ANALISIS DATA EVENT PARIWISATA TERHADAP KUNJUNGAN WISATA DI KOTA PALEMBANG.
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Abstract
The development in the world of data in the digital age is very influential on pluralism in database field. According to Gordon C. Everest in Navathe database is a collection or collection of data that is mechanical, shared, formally defined and also controlled centered on an organization. This research I use clustering method of K-Means algorithm. Clustering method is a job of separating data or vector into a number of clusters according to their characteristic, using K-Means algorithm. In this study, the results obtained from the cluster of K-Means algorithm is the largest culmination rate derived from Malaysia in August amounted to 103 visits of foreign tourists followed by the countries of Australia, Singapore, China, Arab, Japan, Germany, South Korea and Thailand.
| Item Type: | Article |
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment |
| Depositing User: | Mr Edi Surya Negara |
| Date Deposited: | 24 Jun 2022 02:30 |
| Last Modified: | 24 Jun 2022 02:30 |
| URI: | http://eprints.binadarma.ac.id/id/eprint/15416 |
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