Implementasi Business Intelligence Untuk Menganalisis Data Destinasi Wisata di Indonesia Menggunakan Platform Tableau
Keywords:
Business Intelligence, Travel Destinations, TableauAbstract
Tourist destinations are one of the main choices that can be made in spare time. Indonesia is a country that is famous for its beauty, so it attracts many tourists to visit. The purpose of this study focuses on visualizing tourist destination data in Indonesia by implementing Business Intelligence to display places, prices and ratings from five cities in Indonesia. The method of this research is to process a dataset of tourist destinations in Indonesia from www.kaggle.com using the Tableau platform. The results of this study are in the form of reports in the form of dashboards such as places, prices and ratings from five cities in Indonesia which are used in the decision-making process to make it easier and more systematic. The data display from the results of the analysis that has been carried out produces an attractive and interactive dashboard provided by Tableau.
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References
R. S. S. Edgar Marvaro, “Penerapan Business Intelligence dan Visualisasi Informasi di CV. Mitra Makmur Dengan Menggunakan Dashboard Tableau,” Jurnal Sains dan Teknologi, Vol. 8 No. 2, no. Vol. 8 No. 2 (2021): Sains dan Teknologi, pp. 37–46, 2021, doi:
https://doi.org/10.53008/kalbiscientia.v8i2.197.
F. A. Sariasih, “Implementasi Business Intelligence Dashboard dengan Tableau Public untuk Visualisasi Propinsi Rawan Banjir di Indonesia,” 2022. doi: https://doi.org/10.31004/jptam.v6i2.4715
A. F. Sallaby and I. Kanedi, “Perancangan Sistem Informasi Jadwal Dokter Menggunakan Framework Codeigniter.” doi: https://doi.org/10.37676/jmi.v16i1.1121.
F. N. Hasan, “Implementasi Sistem Business Intelligence Untuk Data Penelitian di Perguruan Tinggi,” Prosiding Seminar Nasional Teknoka, vol. 4, pp. I1–I10, Nov. 2019, doi: 10.22236/teknoka.v4i1.3943.
D. Mirwansyah, N. Wanti, and W. Sari, “PENERAPAN BUSINESS INTELLIGENCE PADA DATA LULUSAN STMIK SENTRA PENDIDIKAN BISNIS SAMARINDA,” 2019. Accessed: Nov. 22, 2022. [Online]. Available: http://jurnal.fmipa.unmul.ac.id/index.php/SNMSA/article/view/546
A. Setiawan et al., “Visualisasi Data Progres Program Vaksinasi COVID-19 Internasional Berbasis Tableau,” ILKOMNIKA: Journal of Computer Science and Applied Informatics, vol. 4, no. 1, pp. 25–33, Apr. 2022, doi: 10.28926/ilkomnika.v4i1.441.
Q. W. R. S. Irman Effendy, “Pemanfaatan Software Tableau Dalam Pembuatan Dashboard Bencana Karhutla Di BPBD Sumatera Selatan,” Jurnal Pengabdian Kepada Masyarakat Bina Darma, vol. Vol. 1 No. 2, no. Vol 1 No 2 (2021): Jurnal Pengabdian kepada Masyarakat Universitas Bina Darma, pp.132–141, Oct. 2021, doi: https://doi.org/10.33557/pengabdian.v1i2.1449.
A. H. Divisive, S. Informasi, H. Tuah, P. J. Mustafa, S. No, and T. Selatan, “Irawan-Penerapan Data Mining Untuk Evaluasi Data Penjualan Menggunakan Metode Clustering dan PENERAPAN DATA MINING UNTUK EVALUASI DATA PENJUALAN MENGGUNAKAN METODE CLUSTERING DAN ALGORITMA HIRARKI DIVISIVE Yuda Irawan.” doi: https://doi.org/10.20527/jtiulm.v4i1.34.
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