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The Development of Data Publishing Tool for Indonesian Open Government Data
Sunindyo W.D.a, Amrita I.D.P.D.K.a
a School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2019 IEEE.Open Government Data (OGD) is data produced or commissioned by the government, which can be publicly published. These data can be accessed freely by anyone, in order to increase public participation and enable government agencies to report their performance transparently. Indonesia is one of many countries that has been applying open government data concept, by establishing Open Government Indonesia (OGI). With the establishment of the OGI, many Indonesian government agencies have developed open government data. However, many of them have low data quality. One standard that can assess open government data quality is Five Star Open Data. This standard uses 5-step concept, with each data requires particular quality to achieve those steps. This paper proposed a solution to enhance the data quality of Indonesian government data and develop a data publishing tool. This data publishing tool accepts data with 2-star and 3-star quality and enhances the quality of input data to 5-star quality respectively. This tool also publishes the data and generates several types of data visualization according to the data. This tool uses data from Hasan Sadikin General Public Hospital (RSHS) as test data. Based on the evaluation conducted, this tool can enhance the data quality of five datasets, from 2-star to 5-star quality. In addition, the tool publishes the datasets and generates data visualization based on the datasets’ contents.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Data publishing,Data quality,General publics,Government agencies,Indonesia,Input datas,Public participation,Test data[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]data visualization,Five Star Open Data,government data,hospital data,open government data[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text]ACKNOWLEDGMENT This research is fully supported by our school, School of Electrical Engineering and Informatics, Institut Teknologi Bandung. The authors would like to thank our colleagues, both from our department and from other disciplines for the insights and inspirations so we can conduct this research accordingly to the plan. The authors also would like to thank staffs from Hasan Sadikin General Public Hospital for the supports and assistance to make this research ran smoothly. Finally, we would like to thank everyone who contributed in this research.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/ICEEI47359.2019.8988891[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]