Visualization Analysis of Unemployment Data in Indonesia from 2018 to 2024 Using Tableau Dashboard
DOI:
https://doi.org/10.31316/jdi.v15i1.475Abstract
The unemployment is still a problem in Indonesia. Unemployment has an impact on society and the country. The unemployment rate has fluctuated from year to year, indicating that there is still no stability in this situation. Data from the Central Statistics Agency (BPS) shows that Indonesia still has an unresolved unemployment problem. The available data is so vast and complex that it poses a challenge in receiving this information. The method used is qualitative. Researchers need to visualize the data to see the distribution of unemployment rates in Indonesia. This data visualization uses a Tableau dashboard. Tableau is an interactive platform that aims to facilitate the delivery of information related to unemployment rates in a more practical, fast, and accurate manner. The highest unemployment rate occurred in 2020, then decreased in 2023 and increased again in 2024. The highest unemployment rate was in the West Java region. Thus, the use of a Tableau dashboard for such a large amount of data makes it easier to receive information and understand the unemployment rate in Indonesia, which aims to address this condition
Keywords: Data Visualization, Unemployment of Indonesia, Tableau
Downloads
Published
Versions
- 2026-03-09 (4)
- 2026-03-04 (3)
- 2026-03-04 (2)
- 2026-03-01 (1)
Issue
Section
License
Copyright (c) 2026 Nur ELISKA
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International 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-ShareAlike 4.0 International License that allows others to share the work with an acknowledgment 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 acknowledgment 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 (See The Effect of Open Access).
