@article{repository29807,
            year = {2023},
          volume = {4},
           title = {(KESATRIA - S4) - Anakku, Erizal, Hasan [2023-10-27]},
             doi = {https://doi.org/10.30645/kesatria.v4i4.251},
          number = {4},
       publisher = {LPPM STIKOM Tunas Bangsa},
         journal = {KESATRIA: Jurnal Penerapan Sistem Informasi (Komputer \& Manajemen)},
           month = {October},
           pages = {1006--1019},
        abstract = {The Covid-19 pandemic in 2020 witnessed a significant increase in cases worldwide, claiming numerous lives. Despite having a substantial number of healthcare workers in several hospitals in DKI Jakarta, there remained a shortage of healthcare personnel during the Covid-19 outbreak. Consequently, there were still many deaths attributed to both diseases. This study aims to analyze self-data visualization from opendatajakarta in the form of a dashboard and utilize the storytelling feature available in Tableau for visualization. The research aims to determine the number of healthcare workers during the major Covid-19 outbreak in DKI Jakarta. To achieve this, the study employs a method called Business Intelligence using the interactive dashboard options provided by Tableau as a decision-making tool, which will be transformed into visualizations and combined into an information dashboard. The research obtained results in the form of a Business Intelligence dashboard displaying the number of healthcare workers in DKI Jakarta.},
             url = {https://pkm.tunasbangsa.ac.id/index.php/kesatria/article/view/251},
          author = {Hasan, Firman Noor},
            issn = {2720-992X}
}