Menguak potensi data science

Transformasi di dunia teknik informatika

Authors

  • Muhammad Ali Nur Ardhi Program Studi Teknik Informatika Universitas Islam Negeri Maulana Malik Ibrahim Malang

Keywords:

Data science, informatics, engineering data analysis, big data, machine learning, higher education

Abstract

Data Science has become an essential component in the field of Informatics Engineering, significantly contributing to big data analysis and data-driven decision-making. By utilizing mathematical, statistical, and programming techniques, Data Science enables the processing of complex data to uncover valuable patterns and trends. This article discusses the importance of Data Science in Informatics Engineering, its benefits, and the challenges faced in its implementation. Additionally, the article explores various practical applications of Data Science relevant to the needs of the industry and education in Informatics Engineering.

Downloads

Download data is not yet available.

Downloads

Published

2024-06-30

How to Cite

Ardhi, M. A. N. (2024). Menguak potensi data science: Transformasi di dunia teknik informatika. Maliki Interdisciplinary Journal, 2(6), 1084–1088. Retrieved from https://urj.uin-malang.ac.id/index.php/mij/article/view/8758

Issue

Vol. 2 No. 6 (2024): JUNE

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  • Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
  • Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  • Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.