Kualitas Official Statistics BPS Terhadap Penggunaan Big Data sebagai Sumber Data

Pratama Rhomdoni P.I

Abstract

This research examines the quality of BPS Official Statistic in integrating Big Data as a source of statistical data. The research methodology involves in-depth analysis of recent literature, critical assessment of data collection methodologies, and exploration of solutions to the challenges faced. In terms of accuracy and reliability of data, the research highlights the complexity of managing data from various heterogeneous sources. Challenges such as differences in data quality and correction methods are the main focus. The research findings indicate the necessity for BPS to develop an effective data integration framework and precise correction methods. Meanwhile, in the context of privacy and ethics, the research identifies the need for strict policies and procedures to protect individual privacy rights. In-depth understanding of the ethics of data usage, transparency in data collection, and moral considerations in data usage are also primary concerns. The research emphasizes the importance of a proactive approach to risks and impacts, as well as community involvement in decision-making processes related to privacy. This research contributes to the understanding of the complexity of using Big Data in the official statistics context and offers a holistic framework to address these challenges. The implications of the research findings can assist BPS and similar statistical agencies in enhancing data integrity, preserving privacy, and ensuring that the use of Big Data maximizes benefits for national planning and development.

Keywords

Badan Pusat Statistik (BPS), big data, official statistics.

Full Text:

PDF

References

Battisti, E., Shams, S. M. R., Sakka, G., & Miglietta, N. (2020). Big data and risk management in business processes: implications for corporate real estate. Business Process Management Journal, 26(5), 1141–1155.

Faris, M., & Pramana, S. (2021). Preparing a Big Data Utilization Communication Strategy. Journal of Physics: Conference Series, 1863(1).

Hafifah, S., & Marsisno, W. (2022, November). Permasalahan dan Potensi dalam Diseminasi Official Statistics pada Badan Pusat Statistik. In Seminar Nasional Official Statistics (Vol. 2022, No. 1, pp. 323-332).

Kurniawan, W., & Sanapiah, A. A. (2021). How BPS-Statistics Indonesia to Handle The Effectiveness of Information System of Public Budgeting Management?. Jurnal Ilmiah Administrasi Publik, 7(1), 30-40.

Manshur, A. (2021). Satu Data, Big Data dan Analitika Data: Urgensi Pelembagaan, Pembiasaan dan Pembudayaan. Bappenas Working Papers, 4(1), 30–46.

Pramana, S., Mariyah, S., & Takdir. (2021). Big data implementation for price statistics in Indonesia: Past, current, and future developments. Statistical Journal of the IAOS, 37(1), 415–427.

Rahmatika, M., Krismawati, D., Rahmawati, S. D., Arief, A., Sensuse, D. I., & Dzulfikar, M. F. (2019, July). An open government data maturity model: A case study in BPS-statistics Indonesia. In 2019 7th International Conference on Information and Communication Technology (ICoICT) (pp. 1-7). IEEE.

Sensuse, D. I., Suwiyanto, V., Lusa, S., Gandhi, A., Mishbah, M., & Elisabeth, D. (2021). Designing knowledge sharing system for statistical activities in bps-statistics indonesia. Data, 6(5).

Tosida, E. T., Herdiyeni, Y., Suprehatin, S., & Marimin. (2020, September 16). The potential for implementing a big data analytic-based smart village in Indonesia. 2020 International Conference on Computer Science and Its Application in Agriculture, ICOSICA 2020.

Refbacks

  • There are currently no refbacks.