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

F. Gunawan, Y. Ruldeviyani

Research output: Contribution to journalConference articlepeer-review

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.

Original languageEnglish
Article number012095
JournalJournal of Physics: Conference Series
Volume1566
Issue number1
DOIs
Publication statusPublished - 3 Jul 2020
Event4th International Conference on Computing and Applied Informatics 2019, ICCAI 2019 - Medan, Indonesia
Duration: 26 Nov 201927 Nov 2019

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