Transformasi Data Statistik Menjadi Visual Interaktif Menggunakan Streamlit: Studi Kasus BPS Kota Mojokerto

Authors

  • Kamilia Nabila Oktaviarini Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia
  • Eka Dyar Wahyuni Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia
  • Reisa Permata Sari Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya, Indonesia

DOI:

https://doi.org/10.53863/kst.v6i02.1426

Keywords:

data visualization, Streamlit, Mojokerto City BPS, interactive dashboard

Abstract

This study aims to transform the presentation of statistical data at the Central Bureau of Statistics (BPS) of Mojokerto City to be more interactive and accessible to the public. The previous data presentation through the graph menu on the Dakocantik mobile application relied on Excel-based visualizations, which were deemed less effective. To address this issue, this research developed a web-based dashboard using Streamlit, providing interactive and informative data visualization. The research methods included literature studies, interviews, data visualization, and system integration. The development process encompassed data source identification, extraction, cleaning, mapping, and storage before visualization using Streamlit. The dashboard was integrated with the Dakocantik mobile application via the web view feature, enabling users to access interactive statistical data directly from their mobile devices. The study's findings indicate that the developed dashboard successfully enhanced data accessibility and understanding among the public. Feedback from 13 respondents revealed that 92.3% found the dashboard easy to understand, and 84.6% assessed its features and interface as user-friendly for accessing data. Suggestions from users included improving loading times and enabling automatic data updates to enhance user experience further

References

Badan Pusat Statistik Kota Mojokerto. 2023. Kota Mojokerto dalam Angka. Badan Pusat Statistik Kota Mojokerto. Diakses pada 9 Juni 2024, dari https://mojokertokota.bps.go.id/

Huang, B., Wang, X., & Liu, Y. 2019. Streamlit: A flexible and scalable framework for building data science applications. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2334-2342). https://doi.org/10.1145/3292500.3330721

Meliyana, D., & Latifah, K. 2022, December 15. Pengelolaan dan visualisasi data pada Dinas Komunikasi dan Informatika Kabupaten Pati. In Science and Engineering National Seminar 7 (SENS 7), Semarang, Indonesia: Universitas PGRI Semarang.

Shen, J., Lee, H., & Park, S. 2020. Real-time data streaming with Streamlit. arXiv preprint arXiv:2005.14040. Retrieved from https://arxiv.org/abs/2005.14040

Stevens, R., Smith, J., & Johnson, M. 2019. Streamlit: A Python package for building interactive data science applications. Journal of Open Source Software, 4(40), 1042. https://doi.org/10.21105/joss.01042

Published

2024-12-31

How to Cite

Oktaviarini, kamilia nabila, Wahyuni, E. D., & Sari, R. P. (2024). Transformasi Data Statistik Menjadi Visual Interaktif Menggunakan Streamlit: Studi Kasus BPS Kota Mojokerto. JURNAL KRIDATAMA SAINS DAN TEKNOLOGI, 6(02), 804–822. https://doi.org/10.53863/kst.v6i02.1426

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