Correlation Analysis on Big Data for Legislative Election

Authors:
Publisher website
Google Scholar
Abstract
Indonesia as a democratic country holds general election such as legislative election and presidential election. The General Elections Commissions of Indonesia usually provide useful official data of the election result which grouped by the constituency as well as the province in Indonesia. Moreover, Statistics Indonesia institution has annual statistic data for each province (and in detail up to city/district level per province), such as poverty, prosperity, and education index. Here, we attempt to explore whether there is a correlation between the election result and the province statistic data that can be processed further as the side information for election stakeholders. We focus on (1) providing the platform to perform the big data analytics, (2) identification, selection, and integration of supporting data, (3) visualization of the data on a big data platform; and (4) perform the big data analysis. We use legislative election data (DPR) 2019 in West Java province combined with its demographic data and the party’s ideology to perform the correlation analysis. The result shows that the implementation of big data analysis on such data can offer some side information for election stakeholders.