Diplomatic relations between countries increasingly show how important the meaning of relations between these countries. Representatives are needed in order to establish cooperative relationships in several fields such as culture, politics, and education. The Ministry of Foreign Affairs is expected to recommend objective representatives to be placed as foreign diplomats. Finding suitable representatives and the number of representatives to be dispatched in accordance with the criteria and rules that apply in the foreign ministry becomes complicated. With this objective and value-weighted recommendation made, it is easier for superiors in the ministry to make representative selection. The method used is the Multi Attribute Utility Method (MAUT) which can make effective and specific selections. Based on the results of testing of 50 sample data to calculate the selection of foreign diplomats using the MAUT method the results were 94%.
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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