Predicting Figure Coalition for 2019 Indonesian Presindential Election Using Modified Markov Clustering Algorithm
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Abstract
This paper presents a new approach to ameliorate the Markov Cluster algorithm for predicting ï¬gure coalition for 2019 Indonesian Presidential Election. The proposed method is the modiï¬cation of the Markov Clustering algorithm. First, 20 ï¬gures are collected to form a 20 x 20 matrix. Second, the entries of the matrix are scored by 0, 1, 2, or 3 concerning the number of positive comments from netizen towards the observed ï¬gures photo on Instagram. Third, we implemented the Markov Clustering to ï¬nd the clusters that represent the number of coalitions. The effectiveness of the proposed method is conï¬rmed by comparing the prediction results with the actual coalition.
Article Details
Section
Applied Mathematics
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References
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