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ALGORITMA CLUSTERING K-MEDOIDS PADA E-GOVERNMENT BIDANG INFORMATION AND COMMUNICATION TECHNOLOGY DALAM PENENTUAN STATUS EDGI

Jumat, 30 Maret 2018 16:46:08 ,Oleh ,Dilihat : 268 x

E-Government is a tool to improve relations with the community, now the development of E-Government
in various world governments are monitored directly by the UN through the United Nations E-Government
Survey. This monitoring uses the framework where in this EGDI there are 3 factors considered: Online
Service Index, Telecommunication Infrastructure Index and Human Capital Index. But the determination
of EDGI status is less accurate because it must be based on knowledge and processing of the number of
existing data so that required a calculation that applies clustering method with data mining techniques. Kmedoids

using clustering techniques, capable of producing optimal Bouldin Index values and this study
also determines the medoid distance calculation to obtain optimal algorithm, the value obtained from
Bouldin Index on the Chebyshev K-medoids method 0.593. Thus, the optimal clustering scheme with
distance ratio is the minimum index value of K-medoids Chebyshev.



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jurnal_1java.pdf

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