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IJSTR >> Volume 9 - Issue 7, July 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Advanced Analytical Of Use Of Electronics Government Using K-Means Algorithm

[Full Text]

 

AUTHOR(S)

Ibnu Teguh Ghifary, Deden Witarsyah, Rachmadita Andreswari, Ahmad Musnansyah

 

KEYWORDS

Electronic Government, Performance expectancy, Effort expectancy, Social influence, K-Means, Clustering, Rapid Miner.

 

ABSTRACT

E-Government is a public service carried out by all government agencies that are coordinated with each other optimally using telematics technology. In order for the implementation of e-government to be carried out properly, it is necessary to consider technical and non-technical factors that can influence success. In general, non-technical factors are more dominant than technical factors, therefore an in-depth understanding of non-technical factors is needed when designing and implementing e-government. The implementation of e-government that is associated with efforts to meet the needs of all sectors of activity both in government and society requires patrons from leaders who can provide examples and shared commitment. For this reason, an analysis of interest in the use of e-government using the K-means algorithm on RapidMiner tools that uses supporting variables is a survey question of service factors, namely performance expectancy, effort expectancy, and social influence to be studied. The output of this study is the interest in using e-government to the UTAUT factor which is more dominant in the community. Based on the results of the study, K-means has an accuracy rate of analysis that can reach 91%.

 

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