User interface design for a zoonosis prediction system

Zoonosis is any diseases that are transmitted from animal to human. The high-risk impact on zoonosis is increasing since we live in the same environment with some animals. There is important to enhance our attentions to resolve this kind problem. Previously, zoonosis prediction framework has been pr...

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Main Authors: Permanasari, A.E., Rambli, D.R.A., Dominic, P.D.D.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.21805 /
Published: Taylor's University 2018
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041815218&partnerID=40&md5=e61f87bcaed8dc8055ae0410f7201719
http://eprints.utp.edu.my/21805/
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recordtype eprints
spelling utp-eprints.218052018-10-23T01:45:57Z User interface design for a zoonosis prediction system Permanasari, A.E. Rambli, D.R.A. Dominic, P.D.D. Zoonosis is any diseases that are transmitted from animal to human. The high-risk impact on zoonosis is increasing since we live in the same environment with some animals. There is important to enhance our attentions to resolve this kind problem. Previously, zoonosis prediction framework has been proposed. This framework was able to predict the number of human incidence of seasonal zoonosis. However, it still needs to transform the framework into a user-friendly user interface. This study examined concerns about the construction of user interface application of zoonosis prediction framework. The results demonstrate decision support system (DSS) architecture. The design covers three DSS components, namely database management subsystem, model base management subsystem, and user interface subsystem. Spreadsheet DSS was applied for the zoonosis prediction application. The model was developed by using the VBA for Excel. In conclusion, the finding determines that the interface can integrate three DSS components in a single DSS interface. © School of Engineering, Taylor�s University. Taylor's University 2018 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041815218&partnerID=40&md5=e61f87bcaed8dc8055ae0410f7201719 Permanasari, A.E. and Rambli, D.R.A. and Dominic, P.D.D. (2018) User interface design for a zoonosis prediction system. Journal of Engineering Science and Technology, 13 (2). pp. 347-360. http://eprints.utp.edu.my/21805/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Zoonosis is any diseases that are transmitted from animal to human. The high-risk impact on zoonosis is increasing since we live in the same environment with some animals. There is important to enhance our attentions to resolve this kind problem. Previously, zoonosis prediction framework has been proposed. This framework was able to predict the number of human incidence of seasonal zoonosis. However, it still needs to transform the framework into a user-friendly user interface. This study examined concerns about the construction of user interface application of zoonosis prediction framework. The results demonstrate decision support system (DSS) architecture. The design covers three DSS components, namely database management subsystem, model base management subsystem, and user interface subsystem. Spreadsheet DSS was applied for the zoonosis prediction application. The model was developed by using the VBA for Excel. In conclusion, the finding determines that the interface can integrate three DSS components in a single DSS interface. © School of Engineering, Taylor�s University.
format Article
author Permanasari, A.E.
Rambli, D.R.A.
Dominic, P.D.D.
spellingShingle Permanasari, A.E.
Rambli, D.R.A.
Dominic, P.D.D.
User interface design for a zoonosis prediction system
author_sort Permanasari, A.E.
title User interface design for a zoonosis prediction system
title_short User interface design for a zoonosis prediction system
title_full User interface design for a zoonosis prediction system
title_fullStr User interface design for a zoonosis prediction system
title_full_unstemmed User interface design for a zoonosis prediction system
title_sort user interface design for a zoonosis prediction system
publisher Taylor's University
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041815218&partnerID=40&md5=e61f87bcaed8dc8055ae0410f7201719
http://eprints.utp.edu.my/21805/
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score 11.62408