VISUALISASI DATA SEBARAN WILAYAH PARIWISATA DI PROVINSI BALI DENGAN PLATFORM TABLEAU

  • Kadek Pebriawan Universitas Pendidikan Ganesha
  • I Gusti Agung Ayu Ananda Dewi Universitas Pendidikan Ganesha
  • Anak Agung Eka Wirayuda Universitas Pendidikan Ganesha
  • Gede Surya Mahendra Universitas Pendidikan Ganesha
  • Aulia Iefan Datya Universitas Dhyana Pura
https://doi.org/10.37859/seis.v3i2.5435
Keywords: Business Intelligence, Visualization, Tableau, Tourist Object

Abstract

Tourism is one of the influential factors in the economy of Indonesia. In general, tourism refers to the journey undertaken by an individual within a certain period from one place to another. The tourism potential in Indonesia has been rapidly growing, especially since the Covid-19 pandemic. Based on this issue, the author attempts to find data regarding the distribution of tourist locations in the Province of Bali to identify the potential for sustainable tourism in each area. Once the data is collected, the author visualizes it to make it easily understandable and to serve as a reference for the equitable distribution of tourism potential in Bali. Tableau, a data visualization tool, is used to create various types of diagrams and maps. The research results indicate that the tourist attractions Penglipuran, Goa Lawah, and Jatiluwih are the top three with the highest ratings. Bali zoo, GWK, and Kuta Beach are the three tourist attractions with the most reviews on Google. This Tableau visualization can assist tourists in determining their desired travel destinations.

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References

Acharya, S., & Chellappan, S. (2016). Pro Tableau: A Step-by-Step Guide (1st ed.). USA: Apress.

Afikah, P., Affandi, I. R., & Hasan, F. N. (2022). Implementasi Business Intelligence Untuk Menganalisis Data Kasus Virus Corona di Indonesia Menggunakan Platform Tableau. Pseudocode, 9(1), 25–32. https://doi.org/10.33369/pseudocode.9.1.25-32

Angreini, S., & Supratman, E. (2021). Visualisasi Data Lokasi Rawan Bencana Di Provinsi Sumatera Selatan Menggunakan Tableau. Jurnal Nasional Ilmu Komputer, 2(2), 135–147. https://doi.org/10.47747/jurnalnik.v2i2.528

Galahartlambang, Y., Khotiah, T., & Jumain. (2021). Visualisasi Data Dari Dataset COVID-19 Menggunakan Pemrograman Python. Jurnal Ilmiah Intech : Information Technology Journal of UMUS, 3(1), 58–66. https://doi.org/10.46772/intech.v3i01.417

Habaora, F., Riwukore, J. R., & Yustini, T. (2021). Kondisi Eksisting Destinasi Pariwisata Pantai Lasiana Kota Kupang Berdasarkan Atraksi, Aksesibilitas, Fasilitas, Kelembagaan, dan Ekosistem Pariwisata. Jurnal Kepariwisataan Indonesia: Jurnal Penelitian dan Pengembangan Kepariwisataan Indonesia, 15(2), 103–115. https://doi.org/10.47608/jki.v15i22021.103-115

Hendrayana, I. G., & Mahendra, G. S. (2019). Perancangan Metode AHP-MOORA Pada Sistem Pendukung Keputusan Pemilihan Paket Wisata. Prosiding Seminar Nasional Pendidikan Teknik Informatika (SENAPATI) Ke-10, 10, 143–149. Singaraja.

Kemenpraf. (2022). Statistik Wisatawan Mancanegara [News]. Retrieved July 29, 2023, from Kementerian Pariwisata dan Ekonomi Kreatif website: https://kemenparekraf.go.id/statistik-wisatawan-mancanegara

Mahendra, G. S., & Sari, N. K. A. P. (2019). Perancangan Sistem Pendukung Keputusan Dengan Metode Ahp-Vikor Dalam Penentuan Pengembangan Ekowisata Pedesaan. Prosiding Seminar Nasional FTIS, UNHI 2019. Agro-Ekosistem: Manajemen Pemanfaatan Sumber Daya Alam Secara Bijaksana, 1, 15–34.

Mahendra, G. S., Tampubolon, L. P. D., Herlinah, Arni, S., Kharisma, L. P. I., Resmi, M. G., … Edi. (2023). Sistem Pendukung Keputusan: Teori dan Penerapannya dalam Berbagai Metode. Jambi: PT. Sonpedia Publishing Indonesia.

Mahendra, G. S., Wardoyo, R., Pasrun, Y. P., Sudipa, I. G. I., Khairunnisa, Putra, I. N. T. A., … Wahyudi, F. (2023). Implementasi Sistem Pendukung Keputusan: Teori & Studi Kasus. Bali: PT. Sonpedia Publishing Indonesia.

Moss, L. T., & Atre, S. (2003). Business Intelligence Roadmap: The Complete Project Lifecycle for Decision-support Applications. Addison-Wesley. Retrieved from https://books.google.co.id/books?id=HSeE7rOXKsUC

Prahendratno, A., Mahendra, G. S., Zebua, R. S. Y., Tahir, R., Sepriano, Handika, I. P. S., … Efitra. (2023). Business Intelligent: Pengantar Business Intelligence dalam Bisnis. Jambi: PT. Sonpedia Publishing Indonesia.

Rusydi, A., & Hasan, F. N. (2023). Implementasi business intelligence untuk visualisasi kekuatan sinyal internet di Indonesia menggunakan platform tableau. TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika, 10(1), 132–141. https://doi.org/10.37373/tekno.v10i1.378

Saepuloh, D. (2020). Visualisasi Data Covid 19 Provinsi DKI Menggunakan Tableau. Jurnal Riset Jakarta, 13(2). https://doi.org/10.37439/jurnaldrd.v13i2.37

Sari, N. K. A. P., Yasa, I. G. A. S., Darmawiguna, I. G. M., & Sunarya, I. M. G. (2016). Geographic Information System Wisata Religi Bali Berbasis Web. Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika (KARMAPATI), 5(1), 1–10.

Wahyuni, D., & Winarso, D. (2021). Penerapan Metode Rule Based Reasoning dalam Sistem Pakar Deteksi Dini Gangguan Kesehatan Mental pada Mahasiswa. Journal of Software Engineering and Information Systems, 2(2), 1–10. https://doi.org/10.37859/seis.v2i2.3991

Published
2023-08-09
How to Cite
Pebriawan, K., Dewi, I. G. A. A. A., Wirayuda, A. A. E., Mahendra, G. S., & Datya, A. I. (2023). VISUALISASI DATA SEBARAN WILAYAH PARIWISATA DI PROVINSI BALI DENGAN PLATFORM TABLEAU. Journal of Software Engineering and Information System (SEIS), 3(2), 59-65. https://doi.org/10.37859/seis.v3i2.5435
Issue
Vol. 3 No. 2 (2023)
Section
Articles

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