Smart Bussiness Intelligence berbasis Visualisasi Data dan Artificial Intelligence untuk Transformasi Digital UMKM
Keywords:
Artificial Intelligence, Dashboard, Predictive Analytics, Smart Business Intelligence, UMKM, Visualisasi DataAbstract
Penelitian ini bertujuan untuk mengimplementasikan Smart Business Intelligence dalam proses analisis penjualan dan transformasi digital UMKM melalui integrasi visualisasi data dan Artificial Intelligence. Penelitian dilatarbelakangi oleh masih rendahnya pemanfaatan data bisnis pada sebagian besar UMKM sehingga proses pengambilan keputusan masih dilakukan secara manual dan berbasis intuisi. Kondisi tersebut menyebabkan pelaku usaha mengalami kesulitan dalam memahami pola penjualan, perilaku pelanggan, efektivitas promosi, serta prediksi permintaan pasar. Penelitian ini menggunakan pendekatan mixed method dengan metode CRISP-DM (Cross Industry Standard Process for Data Mining) yang meliputi tahapan Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, dan Deployment. Proses pengolahan data dilakukan menggunakan metode ETL (Extract, Transform, Load) untuk memastikan data transaksi penjualan, pelanggan, dan aktivitas digital terstruktur dan siap dianalisis. Implementasi sistem dilakukan menggunakan dashboard Business Intelligence berbasis Tableau dan Power BI yang diintegrasikan dengan Artificial Intelligence untuk predictive analytics dan customer analytics. Hasil penelitian menunjukkan bahwa implementasi Smart Business Intelligence mampu membantu UMKM memahami tren penjualan, segmentasi pelanggan, pola transaksi, dan efektivitas promosi digital secara lebih cepat dan informatif. Sistem predictive analytics mampu membantu prediksi permintaan pasar sehingga pengelolaan stok dan strategi produksi menjadi lebih efektif. Selain itu, customer analytics membantu meningkatkan efektivitas pemasaran melalui segmentasi pelanggan dan promosi berbasis data. Dashboard visualisasi yang dihasilkan mampu menyajikan informasi bisnis secara interaktif sehingga mendukung proses pengambilan keputusan berbasis data dan transformasi digital UMKM secara lebih adaptif dan modern.
References
REFERENSI
M. Khumair and M. Yazid, “Analisis Peran Ekonomi Kreatif dalam Pemberdayaan Masyarakat Lokal: Studi Literatur Kualitatif terhadap Perkembangan Industri Kreatif di Indonesia,” J. Ekon. Kreat. Indones., vol. 3, no. 3, pp. 156–169, Aug. 2025, doi: 10.61896/jeki.v3i3.115.
W. D. Anjaningrum, “INTEGRASI MENUJU INDUSTRI KREATIF YANG KUAT DAN DINAMIS,” J. Ilm. Bisnis Dan Ekon. Asia, vol. 15, no. 1, pp. 30–40, Feb. 2021, doi: 10.32815/jibeka.v15i1.370.
I. Baffo, M. Leonardi, B. Bossone, M. E. Camarda, V. D’Alberti, and M. Travaglioni, “A decision support system for measuring and evaluating solutions for sustainable development,” Sustain. Futur., vol. 5, p. 100109, Dec. 2023, doi: 10.1016/j.sftr.2023.100109.
M. Damar, “A Decision Support System with Business Intelligence: Iranian and Turkish Researcher collaborate enough?,” Ank. Hacı Bayram Veli Üniversitesi İktisadi Ve İdari Bilim. Fakültesi Derg., vol. 24, no. 2, pp. 684–707, Aug. 2022, doi: 10.26745/ahbvuibfd.1102805.
P. William, O. J. Oyebode, A. Sharma, N. Garg, A. Shrivastava, and A. Rao, “Integrated Decision Support System for Flood Disaster Management with Sustainable Implementation,” IOP Conf. Ser. Earth Environ. Sci., vol. 1285, no. 1, p. 012015, Jan. 2024, doi: 10.1088/1755-1315/1285/1/012015.
L. Siciliani, V. Taccardi, P. Basile, M. Di Ciano, and P. Lops, “AI-based decision support system for public procurement,” Inf. Syst., vol. 119, p. 102284, Oct. 2023, doi: 10.1016/j.is.2023.102284.
“Business Intelligence and Information System Management: A Conceptual View,” J. Syst. Manag. Sci., vol. 13, no. 2, Apr. 2023, doi: 10.33168/JSMS.2023.0203.
I. Khare, L. L. R. Rodrigues, S. Gulvady, S. S. Bhakta, G. K. Nair, and A. Hussain, “Impact of Business Intelligence on Company Performance: A System Dynamics Approach,” Folia Oeconomica Stetin., vol. 23, no. 2, pp. 183–203, Dec. 2023, doi: 10.2478/foli-2023-0026.
Miftahul Jannah, Chikal Gidya Abriella, Toarinal Haq, and Fera Zora, “Peran Ekonomi Kreatif Dalam Pengembangan UMKM,” PESHUM J. Pendidik. Sos. Dan Hum., vol. 4, no. 4, pp. 5575–5581, Jun. 2025, doi: 10.56799/peshum.v4i4.9806.
P. Rani, R. Kumar, N. M. O. S. Ahmed, and A. Jain, “A decision support system for heart disease prediction based upon machine learning,” J. Reliab. Intell. Environ., vol. 7, no. 3, pp. 263–275, Sep. 2021, doi: 10.1007/s40860-021-00133-6.
H. Hanifa, A. Sholihin, and F. Ayudya, “Peran AI Terhadap Kinerja Industri Kreatif Di Indonesia,” J. Compr. Sci. JCS, vol. 2, no. 7, pp. 2149–2158, Jul. 2023, doi: 10.59188/jcs.v2i7.446.
R. Abdel Rahim Jawa and G. Abdel Wahab, “The effect of implementing a business intelligence system on the effectiveness of decision-making in the General Organization for Social Security: a case study,” Int. J. Libr. Inf. Sci., vol. 8, no. 2, pp. 349–371, Jun. 2021, doi: 10.21608/ijlis.2021.182339.
S. Gupta, S. Modgil, S. Bhattacharyya, and I. Bose, “Artificial intelligence for decision support systems in the field of operations research: review and future scope of research,” Ann. Oper. Res., vol. 308, no. 1–2, pp. 215–274, Jan. 2022, doi: 10.1007/s10479-020-03856-6.
F. Anjara, “Analisis Visualisasi Data untuk Mendukung Pengambilan Keputusan Bisnis pada UMKM Sajisaja Menggunakan Tableau,” Ekopedia J. Ilm. Ekon., vol. 1, no. 3, pp. 1532–1539, Jul. 2025, doi: 10.63822/c07wwq45.
T. Tony, T. Handhayani, and A. P. Dayanti, “Dashboard Design to Monitor the Number of Students of the Faculty of Information Technology, Tarumanagara University,” Sebatik, vol. 28, no. 2, Dec. 2024, doi: 10.46984/sebatik.v28i2.1942.
J. C. Wibawa, N. R. Radliya, R. Fauzan, and M. R. Fachrizal, “Design of the executive information system dashboard in the finance sector of the ministry of PUPR,” presented at the PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATICS ENGINEERING, SCIENCE & TECHNOLOGY (INCITEST) 2022, Bandung, Indonesia, 2025, p. 040025. doi: 10.1063/5.0254643.
A. A. Jabar, R. F. Wijaya, and S. Wahyuni, “DASHBOARD VISUALISASI DATA KECERDASAN BISNIS UNTUK MENDUKUNG PENGAMBILAN KEPUTUSAN BISNIS PADA PT BMPT,” Djtechno J. Teknol. Inf., vol. 6, no. 1, pp. 75–89, Apr. 2025, doi: 10.46576/djtechno.v6i1.6038.
M. A. Musen, B. Middleton, and R. A. Greenes, “Clinical Decision-Support Systems,” in Biomedical Informatics, E. H. Shortliffe and J. J. Cimino, Eds., Cham: Springer International Publishing, 2021, pp. 795–840. doi: 10.1007/978-3-030-58721-5_24.
D. Dellermann, N. Lipusch, P. Ebel, and J. M. Leimeister, “Design principles for a hybrid intelligence decision support system for business model validation,” Electron. Mark., vol. 29, no. 3, pp. 423–441, Sep. 2019, doi: 10.1007/s12525-018-0309-2.
A. Haji Mohd Nasir, E. Salwana, and M. Nazir Ahmad, “Integrating Information Governance as the Foundation for Information Dashboard Design Ontology,” J. Inf. Technol. Educ. Innov. Pract., vol. 24, p. 001, 2025, doi: 10.28945/5432.
N. Cheng, W. Zhao, X. Xu, H. Liu, and J. Tao, “The influence of learning analytics dashboard information design on cognitive load and performance,” Educ. Inf. Technol., vol. 29, no. 15, pp. 19729–19752, Oct. 2024, doi: 10.1007/s10639-024-12606-1.
Andy Endra Krisna, “Transformasi UMKM Melalui Industri Kreatif: Pendekatan Untuk Meningkatkan Daya Saing dan Inovasi,” J. Publ. Ilmu Manaj., vol. 3, no. 4, pp. 66–81, Nov. 2024, doi: 10.55606/jupiman.v3i4.4514.
S. N. Zahra and P. E. P. Utomo, “Visualisasi Data Penjualan Barang Retail di Seluruh Dunia Menggunakan Tableau,” J. Nas. Ilmu Komput., vol. 4, no. 3, pp. 12–21, Aug. 2023, doi: 10.47747/jurnalnik.v4i3.1217.
E. Ramadhan and A. Voutama, “VISUALISASI PREDIKSI PENJUALAN GAME DI DUNIA MENGGUNAKAN POWER BI,” J. Inform. Dan Tek. Elektro Terap., vol. 13, no. 2, Apr. 2025, doi: 10.23960/jitet.v13i2.6353.


