Integrasi Sistem Informasi Bisnis Dengan Teknologi Machine Learning
DOI:
https://doi.org/10.54066/jpsi.v2i2.1916Keywords:
Business Information System Integration, Machine Learning Technology, Decision- Making Efficiency, Automated Data AnalysisAbstract
This article discusses the integration of business information systems with machine learning technology to enhance decision-making efficiency and accuracy. The objective of this research is to implement machine learning algorithms into business information systems to automatically process and analyze data, predict business trends, and provide more intelligent recommendations. The methods involve collecting historical data from business information systems, applying machine learning algorithms such as regression, classification, or clustering, and integrating the analysis results into the BI platform. The outcome is an enhanced capability of business information systems to optimize supply chains, identify consumer behavior patterns, and optimize marketing strategies based on more accurate predictions. Integrating machine learning technology with business information systems proves to be an effective strategy for improving a company's competitiveness in the current digital era.
References
Emor, G. N. K., & Yosephine, V. S. (2024). Perancangan Sistem Pendeteksi Stok Berbasis Machine Learning dan Mikrokontroler Untuk Digitalisasi Usaha Mikro Kecil dan Menengah. Jurnal Serambi Engineering, 9(2), 8751-8760.
Fahlevi, M. F., & Anugrah, I. G. (2021). Implementasi Integrasi Sistem Informasi Manajemen Rumah Sakit Dengan Sistem Informasi Laboratorium Di Rumah Sakit PKU Muhammadiyah Sekapuk. Bina Insani Ict Journal, 8(1), 33-42.
K. W. D., Ramadhan, I., & Ramadhan, N. R. (2024). Penggunaan Machine Learning dalam Startup dengan Pemanfaatan Smart Pls. Jurnal MENTARI: Manajemen, Pendidikan Dan Teknologi Informasi, 2(2), 111-122.
Nugroho, A. W., Setiyowati, S., & Kusumaningrum, A. (2020). Metode Enterprise Architecture Planning Untuk Merencanakan Sistem Informasi Manajemen Anggaran Perguruan Tinggi Swasta. Jurnal Ilmiah SINUS, 18(2), 43-54. Zalukhu, H., Prastiyanto,
Rozaq, A. (2020). Konsep Perancangan Sistem Informasi Bisnis Digital. Poliban Press.
Safira, R. D. (2020). Teknologi blockchain: Integrasi sistem informasi pembayaran dan pelaporan pajak pertambahan nilai pada digital commerce (Doctoral dissertation, UNIVERSITAS AIRLANGGA).
Viryawan, R., Suroso, A., & Hasbullah, R. (2021). Integrasi Dan Pengembangan Sistem Machine Learning Pada Kegiatan Maintenance Unit Bgmf Pt. Fi. Jurnal Aplikasi Bisnis dan Manajemen (JABM), 7(3), 787-787.
Zalukhu, H., Prastiyanto, K. W. D., Ramadhan, I., & Ramadhan, N. R. (2024). Penggunaan Machine Learning dalam Startup dengan Pemanfaatan Smart Pls. Jurnal MENTARI: Manajemen, Pendidikan Dan Teknologi Informasi, 2(2), 111-122.
