Classification of posts Twitter traffic jam the city of Jakarta using algorithm C4.5
Suhartina Hajrahnur, Muhammad Nasrun, Casi Setianingsih, Muhammad Ary Murti · 2018
Traffic congestion seems to be a daily routine of people in the Capital Jakarta. This causes information on traffic conditions is very important to know by the rider. This information can be obtained easily through social networks such as twitter. However, the information shared on twitter is still text that has not been categorized. Therefore, a congestion classification system was established in DKI Jakarta with a datamining technique, a classification method using the decesion tree technique, C4.5. This C4.5 method transforms a very large fact into a decision tree presenting the rules. Locations obtained will be plotted by geocoding and the classification process will be tested using a data partition with a confusion matrix. The results in this study show average accuracy rate 99.08%, precision 99.46%, and Recall 97.99%.