The Implementation of Bantu Warga Apps and Metabase for Spatial Data Processing In Surabaya

Alfandino rasyid, Sritrusta Sukaridhoto, Muhammad Agus Zainuddin, Rizqi Putri Nourma Budiarti, Ubaidillah Zuhdi, Agus Imam Sonhaji, Yohanes Yohanie Fridelin Panduman, Luqmanul Hakim Iksan


Civil registration and vital statistics (CRVS) is known as an essential supporting system for effective policy-making and service delivery. Its primary purpose is establishing an individual's legal identity and vital events to ensure all citizens get their rights well. Furthermore, an advanced level of CRVS is equipped with a forecasting system to serve more useful data. This paper discusses the potential benefits and challenges of using Metabase and Bantu Warga as civil ministry support systems. The spatial data visualization system using open-source Metabase ran well and resulted in many visualization geospatial maps like birth, marriage and divorce, education, and employment. The forecasting autoregression model configuration and cumulative sum dataset reach the best error result in 1056618. The other aspects, like the self-isolation management system, civil documents classification system, and OCR system, have a good result.


support system, demography, metabase, Bantu Warga appss

Full Text:



Abou Zahr, C., Mathenge, G., Brøndsted Sejersen, T., & Macfarlane, S. B. (2019). Civil Registration and Vital Statistics: A Unique Source of Data for Policy. In The Palgrave Handbook of Global Health Data Methods for Policy and Practice (pp. 125–144). Palgrave Macmillan UK.

Adair, T., Richards, N., Streatfield, A., Rajasekhar, M., McLaughlin, D., & Lopez, A. D. (2020). Addressing critical knowledge and capacity gaps to sustain CRVS system development. BMC Medicine, 18(1), 1–6.

Audebert, N., Herold, C., Slimani, K., & Vidal, C. (2019). Multimodal deep networks for text and image-based document classification.

Balla, D., Zichar, M., Tóth, R., Kiss, E., Karancsi, G., & Mester, T. (2020). Geovisualization techniques of spatial environmental data using different visualization tools. Applied Sciences (Switzerland), 10(19).

Büyükşahin, Ü. Ç., & Ertekin, Ş. (2019). Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition. Neurocomputing, 361, 151–163.

Cobos Muñoz, D., De Savigny, D., Sorchik, R., Bo, K. S., Hart, J., Kwa, V., Ngomituje, X., Richards, N., & Lopez, A. D. (2020). Better data for better outcomes: The importance of process mapping and management in CRVS systems. BMC Medicine, 18(1), 1–10.

Gizaw, M. E. (2020). The status, challenges and opportunities of civil registration and vital statistics in Ethiopia: a systematic review. International Journal of Scientific Reports, 6(5), 200.

Hayatpur, D., Xia, H., & Wigdor, D. (2020). DataHop: Spatial data exploration in virtual reality. UIST 2020 - Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, 818–828.

Ling, X., Gao, M., & Wang, D. (2020). Intelligent document processing based on RPA and machine learning. Proceedings - 2020 Chinese Automation Congress, CAC 2020, 1349–1353.

Melis, G., Kočiský, T., & Blunsom, P. (2019). Mogrifier LSTM.

Mills, S., Lee, J. K., & Rassekh, B. M. (2019). An introduction to the civil registration and vital statistics systems with applications in low- and middle-income countries. Journal of Health, Population and Nutrition, 38(S1), 23.

Muñoz, D. C., Abouzahr, C., & De Savigny, D. (2018). The “Ten CRVS Milestones” framework for understanding Civil Registration and Vital Statistics systems. BMJ Global Health, 3(2), 2017–2019.

Musadad, D. A., & Kelly, M. J. (2023). Implementation research for mortality statistics development : Findings from Indonesia. 1–22.

Papastefanopoulos, V., Linardatos, P., & Kotsiantis, S. (2020). COVID-19: A comparison of time series methods to forecast percentage of active cases per population. Applied Sciences (Switzerland), 10(11), 1–15.

Priambodo, R., & Kadarina, T. M. (2020). Monitoring Self-isolation Patient of COVID-19 with Internet of Things. 2020 IEEE International Conference on Communication, Networks and Satellite, Comnetsat 2020 - Proceedings, 87–91.

Ukoji, U. V., Okoronkwo, E., Imo, C. K., & Mbah, C. S. (2019). Civil Registration and Vital Statistics as Sources of Socio-Demographic Data for Good Governance in Nigeria. The Nigerian Journal of Sociology and Anthropology, 17(1), 102–120.

Yokobori, Y., Obara, H., Sugiura, Y., & Kitamura, T. (2021). Gaps in the civil registration and vital statistics systems of low- and middle-income countries and the health sector’s role in improving the situation. Global Health & Medicine, 3(4), 243–245.




  • There are currently no refbacks.

Copyright (c) 2023 alfandino rasyid, Sritrusta Sukaridhoto, Muhammad Agus Zainuddin, Rizqi Putri Nourma Budiarti, Ubaidillah Zuhdi, Agus Imam Sonhaji, Yohanes Yohanie Fridelin Panduman, Luqmanul Hakim Iksan

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.