Development of Regional Public Election Analytics Application In Indonesia Using Data from Twitter
Irsyad Fakhrur Roji, Sari Widya Sihwi, Afrizal Doewes · 2018 International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) · 2018
Many social media users use Twitter to comment on political issues especially during the elections. In order to extract information from Indonesian people's tweets about the election, this research made an analytics application to analyze the prospective regional election in Indonesia. The research method using Software Reuse, which relies on Reusable Component-Based Software Engineering (CBSE). Some steps done in this research are requirement specification, component analysis, requirement modification, system design with reuse, development and integration, and system validation. In system validation, we have done functional requirement testing in the form of black box testing and non-functional requirement test in the form of performance (running time), accuracy, and usability. The results of black box testing indicate that the functional system has been run according to the required specifications that have been made. The results of the classification testing using SVM method showed its average accuracy is 90.73% in general election mode and 84.58% in the election discussing each of the candidates. The average process time of backend module is 665 seconds from 1500 data tweets. In addition, the dashboard module usability result of the user's understanding of the application based on the questionnaire results shows an average value 2.7 of the value range 0-3 of all users who populated the questioner.