The PDF file you selected should load here if your Web browser has a PDF reader plug-in installed (for example, a recent version of Adobe Acrobat Reader).
If you would like more information about how to print, save, and work with PDFs, Highwire Press provides a helpful Frequently Asked Questions about PDFs.
Alternatively, you can download the PDF file directly to your computer, from where it can be opened using a PDF reader. To download the PDF, click the Download link above.
BibTex Citation Data :
@article{JOIV418, author = {Matheus Supriyanto Rumetna and Tirsa Ninia Lina and Joseph Eliza Lopulalan}, title = {A Knowledge Management System Conceptual Model for the Sorong COVID-19 Task Force}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {4}, number = {4}, year = {2020}, keywords = {Knowledge Management System; KMS; Covid-19; Sorong City Covid-19 Task Force}, abstract = {Sorong is a city located in the West Papua Province, Indonesia. It has a strategical location because it serves as the gateway of the West Papua Province. In 2019, its population has reached 247.084. Such condition has been deemed risky during the Covid-19 pandemic. The performance of the Sorong City Task Force for Covid-19 handling acceleration (Satgas Covid-19) had been considered ineffective by the citizens because it had not provided a system which would provide valid information regarding the Covid-19 progress in the city, resulting in worry and panic buying among the citizens. To overcome the problem, the knowledge possessed by the Sorong City Covid-19 Task Force should be developed into a Knowledge Management System (KMS). The implementation of the system had been expected to be able to optimize the documentation, dissemination and creation of knowledge as well as its evaluation. The KMS then was built to improve the performance effectiveness of the Sorong City Covid-19 Task Force in managing and disseminating knowledge regarding Covid-19 to the citizens. The methods utilized in this research were the qualitative method and the 10-step knowledge management roadmap. The research produced a conceptual model of KMS which could be utilized by the Sorong City Covid-19 Task Force.}, issn = {2549-9904}, pages = {195--200}, doi = {10.30630/joiv.4.4.418}, url = {http://joiv.org/index.php/joiv/article/view/418} }
Refworks Citation Data :
@article{{JOIV}{418}, author = {Rumetna, M., Lina, T., Lopulalan, J.}, title = {A Knowledge Management System Conceptual Model for the Sorong COVID-19 Task Force}, journal = {JOIV : International Journal on Informatics Visualization}, volume = {4}, number = {4}, year = {2020}, doi = {10.30630/joiv.4.4.418}, url = {} }Refbacks
- There are currently no refbacks.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
__________________________________________________________________________
JOIV : International Journal on Informatics Visualization
ISSN 2549-9610 (print) | 2549-9904 (online)
Organized by Department of Information Technology - Politeknik Negeri Padang, and Institute of Visual Informatics - UKM and Soft Computing and Data Mining Centre - UTHM
W : http://joiv.org
E : joiv@pnp.ac.id, hidra@pnp.ac.id, rahmat@pnp.ac.id
View JOIV Stats
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.