Improving Data Quality in Crowdsourced Data for Indonesian Election Monitor: A Case Study in KawalPilpres

Abstract

ICT has enabled democratic process to be more transparent and enabled citizens' participation in the election process. However, public trust is a mandatory requirement for a good democratic transition. Participation in monitoring election process could be implemented as a crowdsourcing effort to improve public trust in the election result which in this article based on a case study of KawalPilpres to monitor 2019 Indonesian presidential election. Trust factor is a key success for monitoring effort. Therefore, data quality becomes necessity. Data quality is assessed using Loshin's maturity assessment and analysed using Loshin's improvement strategies. Based on our assessments, there are three top categories for improvements namely governance, expectations, and policies of data quality management.