EFISIENSI PENGGUNAAN ALGORITMA BOYER MOORE UNTUK PREDIKSI PERILAKU ORANG MELALUI INTERAKSI DI TWITTER

NOORFAIK, MUKH (2014) EFISIENSI PENGGUNAAN ALGORITMA BOYER MOORE UNTUK PREDIKSI PERILAKU ORANG MELALUI INTERAKSI DI TWITTER. Skripsi, Fakultas Ilmu Komputer.

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Abstract

Twitter social media is a growing number of users, including public figures and interactions are much too deep very diverse in its contents, which contain the interaction either positive or negative. This indirectly affects the follower who tend to imitate the follower figure. From this it is as a follower need to choose and sort of account that heat we follow and inappropriate for the presentation of diverse content. To overcome this, the study will examine the effectiveness of Boyer Moore string matching algorithm to resolve the issue. String matching algorithm is considered to be an effective algorithm to match words found in the content of data bank so that positive and negative word content of each vote can be given good or bad so that at the end of the present study is based on the percentage of matching word that has been done. From these percentages can be concluded if a good percentage of the more feasible it twitter account were followed so as not to give a bad impact on the habits and the other way if more worse then the percentage of those accounts were followed not feasible because of the tendency to affect the habits of his followers to imitate what is presented in the content the. Historical methods of research used as a suitable method for examining events ever. Where the prior-previous events here is the content that already exists and has been previously posted. Experiments were performed using a twitter account of public figure because they have effect for others where the interactions that occur be used as research material.

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