Implementasi Penggunaan Aplikasi Microsoft Power BI dalam Melihat Statistik Hutang Negara di Dunia

  • Fenty Tristanti Julfia Universitas Mohammad Husni Thamrin Jakarat
  • Eka Satryawati Universitas Mohammad Husni Thamrin Jakarat
  • Wiga Ariani Universitas Krisnadwipayana
  • Muhammad Rizqi Ramadhan Institut Bisnis dan Informatika Kwik Kian Gie

Abstract

In the era of globalization, an in-depth understanding of sovereign debt statistics is crucial to ensure economic stability. One solution that can significantly contribute to the analysis of sovereign debt data is the application of Business Intelligence (BI) technology, such as Microsoft Power BI. The importance of in-depth understanding of sovereign debt statistics is crucial, considering that sovereign debt can affect economic policy, currency stability, and various other aspects. Therefore, an efficient approach is needed to manage and analyze data related to sovereign debt in a holistic manner. One of the solutions that can make a significant contribution to the analysis of data on data analysis is the application of Business Intelligence (BI) technology, such as Microsoft Power BI. Power BI enables effective data visualization that can be accessed by various stakeholders, making it easier to understand trends, patterns, and the impact of sovereign debt. This research will focus on the application of Power BI to analyze sovereign debt statistics in various parts of the world, with the aim of contributing positively to the understanding and management of sovereign debt globally through the perspective of advanced information technology

Author Biographies

Eka Satryawati, Universitas Mohammad Husni Thamrin Jakarat

Dosen Fakultas komputer Universitas Mohammad Husni Thamrin Jakarta

Wiga Ariani, Universitas Krisnadwipayana

Dosen Program Studi Teknik Informatika Universitas Krisnadwipayana

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Published
2024-06-30
How to Cite
JULFIA, Fenty Tristanti et al. Implementasi Penggunaan Aplikasi Microsoft Power BI dalam Melihat Statistik Hutang Negara di Dunia. Joined Journal (Journal of Informatics Education), [S.l.], v. 7, n. 1, p. 9-14, june 2024. ISSN 2620-8415. Available at: <https://e-journal.ivet.ac.id/index.php/jiptika/article/view/3221>. Date accessed: 03 dec. 2024. doi: https://doi.org/10.31331/joined.v7i1.3221.

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