Online Newspaper Clustering in Aceh using the Agglomerative Hierarchical Clustering Method

The rapid progress in the field of information technology, especially internet, has given birth to a lot information. ease publishing an article on website causes explosion news pages which will certainly confuse readers. diversity and increasing number articles make it increasingly difficult for internet users find large piles data online newspaper sites Aceh. grouping text documents is needed classify newspapers Aceh based content contained articles. In this study, process was tried using Agglomerative Hierarchical Clustering method. News grouped with Bottom-Up design strategy that starts placing each object as cluster then combined into larger similarity keywords news, results are compared put category. research carried out structured manner flow diagrams forming framework. study conducted by taking 10 websites from July 2016 March 2017 1000 randomly generated documents. crawling done php script only take files website. religion, politics, law, sports, tourism, education, culture, economy technology. performance method have average accuracy 89.84%.