Enhancing Data Quality Management: A Case Study of Screening and Handling Stunting Toddlers in Big Data Applications

The Indonesian government has set a target of reducing stunting to 14% by 2024. President Joko Widodo continues to encourage local governments to innovate using information technology to reduce the prevalence of stunting. The Communication and Informatics Service of the Madiun Regency government has developed and implemented information technology for monitoring the nutritional status of stunted toddlers since 2022. The Communication and Informatics Office faced several data quality problems during its implementation. This research helps stakeholders of the Office of Communication and Informatics carry out problem analysis and improvement of data quality. Problem analysis and data repair methods using the total data quality management framework. The results of the analysis on the completeness dimension of the average data quality is 99.12%, the validity dimension produces an average quality of 98.7%, while on the accuracy and unique dimensions, the data quality level is 100%. Recommendations for improving data quality include improvements in the form of the app doesn't allowing data to be null, the system automatically checking input from the user, Creating SOP for weighing at posyandu for parents, relevant government stakeholders making SOP and timelines for monitoring and evaluating data on a regular and sustain, rebuild code program and the system automatically checks input from the user.