PENERAPAN DASHBOARD SYSTEM PENDAPATAN ASLI DAERAH (PAD) SEKTOR PARIWISATA PADA KABUPATEN MOJOKERTO MENGGUNAKAN TABLEAU

Authors

  • Kartika Maulida Hindrayani UPN "Veteran" Jawa Timur
  • Prismahardi Aji Riyantoko UPN "Veteran" Jawa Timur
  • Tresna Maulana Fahrudin UPN "Veteran" Jawa Timur

DOI:

https://doi.org/10.54840/jcstech.v4i1.189

Keywords:

Covid-19, Business Intelligence, Tableau

Abstract

Covid-19 has had an impact on the tourism sector, this is reflected in the Regional Original Income data. Data has a major role in helping to clearly understand trends and societal needs. Data needs to be converted into information for decision making and strategic planning. Business Intelligence is a technique for applying the use of data to support stakeholders in making decisions. Tableau is the tool used in this research. The results show data on popular and less popular tourism objects and then the importance of recording data in order to provide a valid picture and make the right decisions.

References

Ain, N. U., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review. Decision Support Systems, 125. https://doi.org/10.1016/j.dss.2019.113113

Božič, K., & Dimovski, V. (2019). Business intelligence and analytics use, innovation ambidexterity, and firm performance: A dynamic capabilities perspective. Journal of Strategic Information Systems, 28(4). https://doi.org/10.1016/j.jsis.2019.101578

Budiarti, L., Warsito, B., Jurusan Statistika FSM UNDIP, M., & Pengajar Jurusan Statistika, S. (2013). ANALISIS INTERVENSI DAN DETEKSI OUTLIER PADA DATA WISATAWAN DOMESTIK (Studi Kasus di Daerah Istimewa Yogyakarta). In JURNAL GAUSSIAN (Vol. 2, Issue 1). http://ejournal-s1.undip.ac.id/index.php/gaussian

Eko, C., & Utomo, W. (2019). Implementasi Business Intelligent dalam e-Tourism Berbasis Big Data. In Journal of Tourism and Creativity (Vol. 3, Issue 2). www.internetworldstats.com,

Herawati, S., Prastiti, N., Latif, M., & Kunci, K. (2018). PENERAPAN BUSINESS INTELLIGENCE UNTUK MENGANALISIS TREN KUNJUNGAN WISATAWAN MANCANEGARA DI INDONESIA.

Herlina, A. (2022). Pariwisata Digital: Transformasi Pemasaran Pariwisata Indonesia melalui Instagram dan Youtube Pemerintah selama Masa Pandemi Covid-19 Digital Tourism: Transformation of Indonesian Tourism Marketing through Government Instagram and Youtube during the Covid-19 Pandemic. Jurnal Ilmu Pengetahuan Dan Teknologi Komunikasi, 24(2), 201–215. https://doi.org/10.17933/iptekkom.24.2.2022.200-215

Jena, B. (2019). An Approach for Forecast Prediction in Data Analytics Field by Tableau Software. International Journal of Information Engineering and Electronic Business, 11(1), 19–26. https://doi.org/10.5815/ijieeb.2019.01.03

Koranti, K., & Lestiyono, S. (2017). ANALISIS PREFERENSI WISATAWAN TERHADAP SARANA DI WISATA TAMAN WISATA KOPENG. In Jurnal Ekonomi Bisnis (Vol. 22, Issue 3).

Lessy, D. F., Avorizano, A., & Hasan, F. N. (2022). Penerapan Business Intelligence Untuk Menganalisa Data Gempa Bumi di Indonesia Menggunakan Tableau Public. Jurnal Sistem Komputer Dan Informatika (JSON), 4(2), 302. https://doi.org/10.30865/json.v4i2.5316

Downloads

Published

2024-05-14

How to Cite

Hindrayani, K. M., Riyantoko, P. A., & Fahrudin, T. M. (2024). PENERAPAN DASHBOARD SYSTEM PENDAPATAN ASLI DAERAH (PAD) SEKTOR PARIWISATA PADA KABUPATEN MOJOKERTO MENGGUNAKAN TABLEAU. Journal of Computer Science and Technology (JCS-TECH), 4(1), 14–18. https://doi.org/10.54840/jcstech.v4i1.189

Issue

Vol. 4 No. 1 (2024): Mei 2024

Section

Articles

License

Copyright (c) 2024 Journal of Computer Science and Technology (JCS-TECH)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.