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All Journal Pendidikan Matematika JURNAL PENDIDIKAN TAMBUSAI Jurnal Cendekia : Jurnal Pendidikan Matematika JURNAL TEKNOLOGI INFORMASI Joined Journal (Journal of Informatics Education Jurnal Pengabdian Masyarakat dan Riset Pendidikan Alamtana
Wiga Ariani
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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Journal : Joined Journal (Journal of Informatics Education

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IMPLEMENTASI PENGGUNAAN APLIKASI MICROSOFT POWER BI DALAM MELIHAT STATISTIK HUTANG NEGARA DI DUNIA Julfia, Fenty Tristanti; Satryawati, Eka; Ariani, Wiga; Ramadhan, Muhammad Rizqi
Joined Journal (Journal of Informatics Education) Vol 7 No 1 (2024): Volume 7 Nomor 1 (2024)
Publisher : Universitas Ivet

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31331/joined.v7i1.3221

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
Co-Authors ali khumaidi, ali Asep Mulyana DELPIMA SUHITA Fauzan Yulianto, Deden Hami Siregar, Martua Herwanto Herwanto Imam Muttaqin Imam Muttaqin, Imam Julfia, Fenty Tristanti Kartika, Harry Dwiyana Kusuma, Hernandito Rahmat L. Chusna, Nuke Lelana, Angga Mulya Mutoharoh, Mutoharoh Nur Hikmah Nur Hikmah Prumanto, Denny Rahima Rahima Rahmi Rahmi Ramadhan, Muhammad Rizqi Satryawati, Eka Suhita, Delphima Suhita, Delpima Tristanti Julfia, Fenty Utomo, Alif