ANALISIS EMPIRIS BIG DATA ANALYTICS BERBASIS POWER BI TERHADAP KAPABILITAS DINAMIS UKM RITEL INDONESIA

  • Eryc Eryc Universitas Internasional Batam
  • Felicia Diana Rose Universitas Internasional Batam
  • Syaeful Anas Aklani Universitas Internasional Batam
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Abstract

Perkembangan teknologi digital telah menghasilkan lonjakan big data yang menuntut kemampuan analisis lebih maju. Namun, di negara berkembang seperti Indonesia, tingkat adopsi Big Data Analytics (BDA) di kalangan Usaha Kecil dan Menengah (UKM) ritel masih rendah, sehingga menciptakan gap empiris terkait bagaimana keterbatasan sumber daya memengaruhi pemanfaatan teknologi analitik. Penelitian ini bertujuan menguji pengaruh BDA berbasis Power BI terhadap penguatan kapabilitas dinamis UKM ritel Indonesia. Pendekatan kuantitatif digunakan melalui survei berskala Likert kepada 100 pemilik atau pengelola UKM yang telah menggunakan Power BI. Data dianalisis menggunakan regresi linear berganda untuk mengevaluasi pengaruh parsial maupun simultan antara variabel penelitian. Hasil penelitian menunjukkan bahwa BDA, Power BI, dan efisiensi operasional berpengaruh positif dan signifikan terhadap kapabilitas dinamis, dengan nilai Adjusted R² sebesar 0,526. Efisiensi operasional merupakan faktor paling dominan dalam memperkuat kemampuan adaptasi dan respons terhadap perubahan pasar. Temuan ini memperkaya literatur mengenai kapabilitas dinamis pada UKM di negara berkembang serta memberikan implikasi praktis bahwa investasi pada teknologi analitik dan optimalisasi proses operasional dapat membantu UKM meningkatkan daya saing secara berkelanjutan.

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References

Abdul Gopar, I., Sri Handayani, L. (2024). Keberhasilan usaha UKM sektor ritel fashion: Kebahagiaan pelanggan, ketersediaan barang dan desain interior outlet. Journal Scientific of Mandalika, 5(12).
Eryc, & Deu, I. (2024). Integrasi teknologi digital dan AI dalam memperkuat akutabilitas pada operasi manajemen rantai pasokan: analisis literatur sistematis. TEKNIMEDIA 5(2).
Alanudin, D., Khaza, A. F., & Fadgham Khaza’inullah, A. (2024). Strategi transformasi digital di era big data: Peran TOE framework adopsi analitik bisnis dan retensi pengetahuan. Journal Syntax Idea, 6(9).
Alfiansa, G., Putri, A. N., & Muchammad Fadel, A. (2023). Systematic literature review (SLR): Penggunaan teknologi big data dalam keputusan bisnis. Journal of Comprehensive Science, 2(6).
Chatterjee, S., Chaudhuri, R., Gupta, S., Sivarajah, U., & Bag, S. (2023). Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm. Technological Forecasting and Social Change, 196. https://doi.org/10.1016/j.techfore.2023.122824
Gonçalves, C. T., Gonçalves, M. J. A., & Campante, M. I. (2023). Developing integrated performance dashboards visualisations using Power BI as a platform. Information, 14(11). https://doi.org/10.3390/info14110614
Kgakatsi, M., Galeboe, O., Molelekwa, K., & Thango, B. (2024). The impact of big data on SME performance: A systematic review [Preprint]. Preprints. https://doi.org/10.20944/preprints202409.0985.v1
Lutfi, A., Alrawad, M., Alsyouf, A., Almaiah, M. A., Al-Khasawneh, A., Al-Khasawneh, A. L., Alshira’h, A. F., Alshirah, M. H., Saad, M., & Ibrahim, N. (2023). Drivers and impact of big data analytic adoption in the retail industry: A quantitative investigation applying structural equation modeling. Journal of Retailing and Consumer Services, 70. https://doi.org/10.1016/j.jretconser.2022.103129
Wanda, S. A. (2024). Analisis dan visualisasi data penjualan sembako Toko Jaya Abadi menggunakan Power BI. Jurnal Sistem Informasi Teknofile.
Widia Nurdiani, T., Anas, M., & Sulistiana, I. (2023). The impact of data volume and analytical complexity in big data technology on financial performance prediction in financial companies in Indonesia. The Es Accounting and Finance, 2(1), 64–76. https://doi.org/10.58812/esaf.v2i01
Sarstedt, M., & Moisescu, O. I. (2024). Quantifying uncertainty in PLS-SEM-based mediation analyses. Journal of Marketing Analytics, 12(1), 87–96. https://doi.org/10.1057/s41270-023-00231-9
Meisah, S. (2025). Peran UMKM dalam mendorong pertumbuhan ekonomi berkelanjutan. In Prosiding SEMANIS : Seminar Nasional Manajemen Bisnis, 3(1).
Yun, V. W. S., Ulang, N. M., & Husain, S. H. (2023). Measuring the Internal Consistency and Reliability of the Hierarchy of Controls in Preventing Infectious Diseases on Construction Sites: The Kuder-Richardson (KR-20) and Cronbach’s Alpha. Journal of Advanced Research in Applied Sciences and Engineering Technology, 33(1), 392–405. https://doi.org/10.37934/araset.33.1.392405
Krieglstein, F., Beege, M., Rey, G. D., Sanchez-Stockhammer, C., & Schneider, S. (2023). Development and Validation of a Theory-Based Questionnaire to Measure Different Types of Cognitive Load. Educational Psychology Review, 35(1). https://doi.org/10.1007/s10648-023-09738-0
Gao, J. (2024). R-Squared (R 2 ) – How much variation is explained? . Research Methods in Medicine & Health Sciences, 5(4), 104–109. https://doi.org/10.1177/26320843231186398
Khalid Ahmed, S. (2024). How to choose a sampling technique and determine sample size for research: A simplified guide for researchers How to choose a sampling technique and determine sample size for research: A simplified guide for researchers How to choose a sampling technique and determine sample size for research: A simplified guide for researchers. Oral Oncology Reports, 12, 100662. https://doi.org/10.1016/j.oor.2024.100662ï
Christian, Y., & Denissa. (2021). Perancangan dan pengembangan sistem in out stock PT Greentech Globalindo. Conference on Business, Social Sciences and Technology, 1(1). https://journal.uib.ac.id/index.php/conescintech
Published
2026-02-01
How to Cite
ERYC, Eryc; DIANA ROSE, Felicia; AKLANI, Syaeful Anas. ANALISIS EMPIRIS BIG DATA ANALYTICS BERBASIS POWER BI TERHADAP KAPABILITAS DINAMIS UKM RITEL INDONESIA. JOISIE (Journal Of Information Systems And Informatics Engineering), [S.l.], v. 10, n. 1, p. 1-12, feb. 2026. ISSN 2527-3116. Available at: <https://www.ejournal.pelitaindonesia.ac.id/ojs32/index.php/JOISIE/article/view/5330>. Date accessed: 15 feb. 2026. doi: https://doi.org/10.35145/joisie.v10i1.5330.
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Articles