The effect of the Covid 19 pandemic on the development of the knowledge graph as an integrated recovery accelerator

W. Sardjono, E. Selviyanti, M. Tohir, R. Azizah

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


The spread of the 2019 Corona virus Disease pandemic (Covid-19) resulted in many organizational entities being forced to redesign business processes, reducing the cost of reducing working hours, to terminating employment (layoffs). The informal sector has the worst impact. Thus, both the government and the private sector make various efforts in overcoming problems of social impact that arise. One of them is through the formation of the Task Force for the Acceleration of Handling Covid19 ( as a single contact crisis center. However, the extent of the impact that arises will result in preventive, curative and promotive efforts at risk of not being handled properly. The implementation of knowledge management based on graphs (knowledge graph) will enable agile integration between various sources of information. The Graph Data Model captures the relationships of various different entities by connecting them through the edge of information extracted from various heterogeneous sources. After the data is represented in a graphical format, there are various analytic graph techniques for asking multi-hop (multi-node) relationships between entities in the knowledge graph that is built. In addition, graphs allow users to visualize data quickly, interactively and exploratively for analysis.

Original languageEnglish
Article number012021
JournalJournal of Physics: Conference Series
Issue number1
Publication statusPublished - 9 Mar 2021
Event2nd International Conference on Physics and Mathematics for Biological Science 2020, ICOPAMBS 2020 - Jember, East Java, Indonesia
Duration: 8 Aug 20209 Aug 2020


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