Interaksi Big Data, Kualitas Data, dan Kinerja Keputusan: Studi Kasus BPJS Kesehatan

Fauzi Purwa Nugraha, Hamzah Ritchi, Zaldy Adrianto

Abstract


This research was conducted to prove that data quality and big data analytics capability have an influence on decision-making performance, and then have an impact on business process performance. This research is descriptive and verificative in nature, using a survey method. For the purpose of data analysis, the pattern of relationships between variables is measured using the PLS-SEM approach. Evaluation of structural model measurements is carried out by testing the path coefficient, t-statistics, and R-squared value. The collected data was obtained through the distribution of questionnaires, with information technology staff respondents at the BPJS Kesehatan Pusat. The results of the study show that: (1) Data quality has not significant effect on decision-making performance, (2) Big Data Analytics Capability has a positive effect on decision-making performance, (3) Decision-making performance has a positive effect on business process performance.


Keywords


Big Data Analytics Capability; Business Process Performance; Decision Making Performance; Data Quality

Full Text:

PDF

References


Al-Sai, Z. A., & Abualigah, L. M. (2017). Big data and E-government: A review. In 2017 8th international conference on information technology (ICIT) (pp. 580-587). IEEE.

Arunachalam, D., Kumar, N., & Kawalek, J. P. (2018). Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice. Transportation Research Part E: Logistics and Transportation Review, 114, 416-436.

Awan, U., Shamim, S., Khan, Z., Zia, N. U., Shariq, S. M., & Khan, M. N. (2021). Big data analytics capability and decision-making: The role of data-driven insight on circular economy performance. Technological Forecasting and Social Change, 168, 120766.

Aydiner, A. S., Tatoglu, E., Bayraktar, E., & Zaim, S. (2019). Information system capabilities and firm performance: Opening the black box through decision-making performance and business-process performance. International Journal of Information Management, 47, 168-182.

Aydiner, A. S., Tatoglu, E., Bayraktar, E., Zaim, S., & Delen, D. (2019). Business analytics and firm performance: The mediating role of business process performance. Journal of business research, 96, 228-237.

Ayu, Mathilda Gian. (2021). BPJS Kesehatan Tingkatkan Upaya Pelayanan Dengan AI dan Big data. Diakses pada 5 November 2022, dari https://www.cloudcomputing.id/berita/bpjs-kesehatan-tingkatkan-layanan-ai-big-data

Bisogno, S., Calabrese, A., Gastaldi, M., & Levialdi Ghiron, N. (2016). Combining modelling and simulation approaches: How to measure performance of business processes. Business Process Management Journal, 22(1), 56-74.

Chengalur-Smith, I. N., Ballou, D. P., & Pazer, H. L. (1999). The impact of data quality information on decision making: an exploratory analysis. IEEE transactions on knowledge and data engineering, 11(6), 853-864.

Constantiou, I. D., & Kallinikos, J. (2015). New games, new rules: big data and the changing context of strategy. Journal of Information Technology, 30(1), 44-57.

Davenport, T. H., & Harris, J. G. (2007). Competing on Analytics: The New Science of Winning. Harvard business review press, Language, 15(217), 24.

Detlor, B., Hupfer, M. E., Ruhi, U., & Zhao, L. (2013). Information quality and community municipal portal use. Government Information Quarterly, 30(1), 23-32.

Duan, L., & Xiong, Y. (2015). Big data analytics and business analytics. Journal of Management Analytics, 2(1), 1-21.

Dubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019). Big data and predictive analytics and manufacturing performance: integrating institutional theory, resource‐based view and big data culture. British Journal of Management, 30(2), 341-361.

EmitenNews.com. (2022). Menkes Menduga Layanan BPJS Kesehatan Salah Sasaran, Ikut Biayai Konglomerat. Diakses pada 27 November 2022, dari https://www.emitennews.com/news/menkes-menduga-layanan-bpjs-kesehatan-salah-sasaran-ikut-biayai-konglomerat

Garmaki, M., Boughzala, I., & Wamba, S. F. (2016). The effect of Big Data Analytics Capability on Firm Performance. In PACIS (p. 301).

Ghasemaghaei, M., Ebrahimi, S., & Hassanein, K. (2018). Data analytics competency for improving firm decision making performance. The Journal of Strategic Information Systems, 27(1), 101-113.

Ghasemaghaei, M., & Calic, G. (2019). Can big data improve firm decision quality? The role of data quality and data diagnosticity. Decision Support Systems, 120, 38-49.

Houhamdi, Z., & Athamena, B. (2019). Impacts of information quality on decision-making. Global Business and Economics Review, 21(1), 26-42.

Humas BPJS-kesehatan. (2022). Inpres Nomor 1 Tahun 2022 Dorong Masyarakat Sadari Pentingnya Jaminan Kesehatan. Diakses pada 1 November 2022, dari https://www.bpjs-kesehatan.go.id/bpjs/post/read/2022/2204/Inpres-Nomor-1-Tahun-2022-Dorong-Masyarakat-Sadari-Pentingnya-Jaminan-Kesehatan

Humas BPJS-kesehatan. (2018). Big data Analytics Bantu Muluskan Implementasi Program Jaminan Kesehatan. Diakses pada 3 November 2022, dari https://bpjs-kesehatan.go.id/bpjs/post/read/2018/960/Big-Data-Analytics-Bantu-Muluskan-Implementasi-Program-Jaminan-Kesehatan

Janssen, M., Van Der Voort, H., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of business research, 70, 338-345.

Kiron, D., Prentice, P. K., & Ferguson, R. B. (2014). The analytics mandate. MIT Sloan management review, 55(4), 1.

Marr, Bernard. (2018). How Much Data Do We Create Every Day? The Mind-Blowing Stats Everyone Should Read. Diakses pada 7 September 2022, dari https://www.forbes.com/sites/bernardmarr/2018/05/21/how-much-data-do-we-create-every-day-the-mind-blowing-stats-everyone-should-read/?sh=480f675560ba

Mayer-Schönberger, V., & Cukier, K. (2013). Big data: A revolution that will transform how we live, work, and think. Houghton Mifflin Harcourt.

Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16, 547-578.

Naili, L., & Lei, M. (2019). Research and Application of Big data in E-government. In IOP Conference Series: Materials Science and Engineering (Vol. 563, No. 5, p. 052086). IOP Publishing.

Raghupathi, W., & Raghupathi, V. (2014). Big data analytics in healthcare: promise and potential. Health information science and systems, 2, 1-10.

Robert Baum, J., & Wally, S. (2003). Strategic decision speed and firm performance. Strategic management journal, 24(11), 1107-1129.

Sekaran, Uma dan Roger Bougie, (2017), Metode Penelitian untuk Bisnis: Pendekatan Pengembangan-Keahlian, Edisi 6, Buku 1, Cetakan Kedua, Salemba Empat, Jakarta Selatan 12610.

Shamim, S., Zeng, J., Khan, Z., & Zia, N. U. (2020). Big data analytics capability and decision making performance in emerging market firms: The role of contractual and relational governance mechanisms. Technological Forecasting and Social Change, 161, 120315.

Sikerja.com. (2022). BPJS Kesehatan mengotomatiskan proses bisnis dan meningkatkan efisiensi operasional. Diakses pada 3 November 2022, dari https://www.sikerja.com/bpjs-kesehatan-mengotomatiskan-proses-bisnis-dan-meningkatkan-efisiensi-operasional/

Sirait, E. R. E. (2016). Implementasi Teknologi Big data Di Lembaga Pemerintahan Indonesia. Jurnal Penelitian Pos dan Informatika, 6(2), 113-136.

Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta, CV.

Sun, E. W., Chen, Y. T., & Yu, M. T. (2015). Generalized optimal wavelet decomposing algorithm for big financial data. International Journal of Production Economics, 165, 194-214.

Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.

Worldbank.org. (2015). e-Government. Diakses pada 29 Agustus 2022, dari https://www.worldbank.org/en/topic/digitaldevelopment/brief/e-government




DOI: https://doi.org/10.17509/jpak.v11i2.60659

Refbacks

  • There are currently no refbacks.


Creative Commons License

JPAK : Jurnal Pendidikan Akuntansi dan Keuangan  is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

View My Stats