ASEAN Journal of Community Engagement


Data and information is the key in implementing evidence-based health policy, which has been problematic in Indonesia. The communication between researchers and policy makers must be further strengthened, by encouraging data visualizations as the narrative tools to optimize those communications. Mata-Data (https://mata-data.com) aimed to present national data on health and its social determinants in dynamic data visualization, which was previously presented in tables only. This program were developed in several steps. First, data extraction and analysis from data bank and offical reports. Second, website development subcontracted to external consultants. Third, trial and feedback conducted using online forms, both in quantitative and qualitative data. Fourth, evaluation and dissemination. Several important findings were established. At first, the limitation of data types (mainly categorical and ordinal) means that the multivariate display of data in one graphic was unavailable. However, in general, the user experiences were favorable. The superiority of data visualizations was agreed by the users. Nevertheless, several concerns emerged. First, the use of mobile device was growing. Second, the need of user for reference points, instead of comparing between provinces. Last, the interest for geographically deeper data, especially on city-district level. In conclusion, it can be observed that this program has evolved into something specific for Indonesian context. Further analysis in various concerns is needed to further how Mata-Data can improve data communication in Indonesia.


Angotti, R. (2017). Dynamic Displays of Data. The Mathematics Teacher, 110(9), 703. https://doi.org/10.5951/mathteacher.110.9.0703

Baicker, K., & Chandra, A. (2017). Evidence-based Health Policy. New England Journal of Medicine, 377(25), 2413–2415. https://doi.org/10.1056/NEJMp1709816

Brownson, R. C., Chriqui, J. F., & Stamatakis, K. A. (2009). Understanding Evidence-based Public Health Policy. American Journal of Public Health, 99(9), 1576–1583. https://doi.org/10.2105/AJPH.2008.156224

Budiharsana, M. (2017). Increasing Use of Research Findings in Improving Evidence-based Health Policy at the National Level. Kesmas: National Public Health Journal, 0(0), 49–52. https://doi.org/10.21109/kesmas.v0i0.1905

Jacobs, J., Jones, E., Gabella, B., Spring, B., & Brownson, R. (2012). Tools for Implementing an Evidence-based Approach in Public Health Practice. Preventing Chronic Disease, 9. https://doi.org/10.5888/pcd9.110324

Kemp, S. (2017, February 16). Special Reports: Digital in Southeast Asia in 2017. Retrieved November 29, 2018, from We Are Social website: https://wearesocial.com/special-reports/digital-southeast-asia-2017

Lee, G. (2017). The importance of facts in this ‘fake news’ era. International Emergency Nursing, 31, 1. https://doi.org/10.1016/j.ienj.2017.03.001

McBride, D. M., & Anne Dosher, B. (2002). A comparison of conscious and automatic memory processes for picture and word stimuli: A process dissociation analysis. Consciousness and Cognition, 11(3), 423–460. https://doi.org/10.1016/S1053-8100(02)00007-7

McCosker, A., & Wilken, R. (2014). Rethinking ‘big data’ as visual knowledge: the sublime and the diagrammatic in data visualisation. Visual Studies, 29(2), 155–164. https://doi.org/10.1080/1472586X.2014.887268

Paivio, A. (2014). Chapter Seven: The Multimodal Dual Coding Brain. In Mind and Its Evolution: A Dual Coding Theoretical Approach (2013th ed.). New York: Psychology Press.

Poling, L. L., & Naresh, N. (2014). Rethinking the intersection of statistics education and social justice. Sustainability in Statistics Education. Presented at the Ninth International Conference on Teaching Statistics, Arizona, USA. Retrieved from http://iase-web.org/icots/9/proceedings/pdfs/ICOTS9_C177_POLING.pdf

Reuters Institute for the Study of Journalism. (2015). Making Research Useful: Current Challenges and Good Practices in Data Visualisation. Retrieved from https://www.alliance4usefulevidence.org/assets/Making-Research-Useful-Current-Challenges-and-Good-Practices-in-Data-Visualisation.pdf

Segel, E., & Heer, J. (2010). Narrative Visualization: Telling Stories with Data. IEEE Transactions on Visualization and Computer Graphics, 16(6), 1139–1148. https://doi.org/10.1109/TVCG.2010.179

Singh, S. (2014). Choosing a Prime Ministerial Candidate - The Indian Elections 2014. Retrieved from https://www.youtube.com/watch?v=vpDSHlZDtH4

Tarran, B. (2017). “Hans was a storyteller; he turned statistics into a performing art.” Significance, 14(2), 6–7. https://doi.org/10.1111/j.1740-9713.2017.01011.x

Wood, J., & Badawood, D. (2014, June). The Effect of Information Visualization Delivery on Narrative Construction and Development. Presented at the Eurographics Conference on Visualization (EuroVis), Swansea, UK. Retrieved from http://openaccess.city.ac.uk/3702/



To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.