The Use of Artificial Intelligence in Business Intelligence to Support Data-Driven Decision-Making Using Descriptive Analytics
DOI:
https://doi.org/10.33050/icit.v12i02.4430Keywords:
Artificial Intelligence, Business Intelligence, Descriptive Analytics, DDDM, SMEsAbstract
This study investigates how Business Intelligence (BI) utilises Artificial Intelligence (AI) to support data-driven decision-making using Descriptive Analytics methods. The research reviewed twelve selected articles, identified from an initial pool of 47 articles retrieved from the PubMed, Scopus, and Web of Science databases (2020–2026). A Systematic Literature Review (SLR) approach was employed, in conjunction with the PRISMA protocol, and the methodological quality of the eligible articles was assessed using the Critical Appraisal Skills Programme (CASP) checklist. The results of the review indicate that the integration of AI and BI enhances the efficiency of data analysis, with CRISP-DM-based descriptive analysis reducing data processing time from six hours to thirty minutes. According to the research, Descriptive Analytics is a strategic step towards a Data-Driven Decision Making (DDDM) ecosystem. However, issues such as high costs and labour shortages still need to be addressed.
Downloads
References
RUQIAH RUQIAH, “INTEGRASI DATA ANALYTICS DALAM PERENCANAAN STRATEGIS PEMERINTAH: PENDEKATAN EVIDENCE-BASED UNTUK EFISIENSI PUBLIK,” JISP (Jurnal Inovasi Sektor Publik), vol. 6, no. 1, pp. 62–74, 2026, doi: 10.38156/jisp.v6i1.456.
I. D. G. D. B. Muku, I. P. A. Bayupati, and A. A. N. H. Susila, “Pengembangan Sistem Business Intelligence Dalam Monitoring Performa Perusahaan Multi Company”, SINTECH Journal, vol. 6, no. 2, pp. 99–106, Aug. 2023.
Kirana Rukmayuninda Ririh, Nur Laili, Adityo Wicaksono, and Silmi Tsurayya, “STUDI KOMPARASI DAN ANALISIS SWOT PADA IMPLEMENTASI KECERDASAN BUATAN (ARTIFICIAL INTELLIGENCE) DI INDONESIA,” J@ti Undip: Jurnal Teknik Industri, vol. 15, no. 2, pp. 122–133, June 2020, doi: 10.14710/jati.15.2.122-133.
R. Hidayat, I. Kusumasari, Z. Sophia, and D. Puspita, “Peran Teknologi AI dalam Mengoptimalkan Pengambilan Keputusan dalam Pengembangan Bisnis,” Jurnal Integrasi Ilmu Sosial dan Politik, no. 4, pp. 167–178, 2024, doi: 10.62383/sosial.v1i4.905.
A. Wibowo, “Analisa Dan Visualisasi Data Penjualan Menggunakan Exploratory Data Analysis Pada PT. Telkominfra,” JATISI (Jurnal Teknik Informatika dan Sistem Informasi), vol. 9, no. 3, pp. 2292–2304, Sept. 2022, doi: 10.35957/jatisi.v9i3.2737.
I. Cahyati, “PENERAPAN BUSINESS INTELLIGENCE DENGAN ARTIFICIAL INTELLIGENCE PADA E-COMMERCE”, SJRI, vol. 3, no. 6, pp. 2741–2756, Jun. 2024.
Z. Faiza et al., “A R T I C L E I N F O,” Jurnal Penelitian Ilmu-Ilmu Sosial, vol. 03, no. 1, 2025, doi: 10.5281/zenodo.15863593.
M. R. Pradani Putri and M. A. Basir, “Integrasi Data-Driven Decision Making (DDDM) dalam Penguatan Literasi Numerasi Pelaku UMKM ”, educatio, vol. 12, no. 1, pp. 46–53, Apr. 2026.
Kampus and Publising, “Penerapan Big Data Analytics dalam Pengambilan Keputusan Bisnis,” Jurnal Sains Student Research, vol. 3, no. 2, pp. 474–480, 2025, doi: 10.61722/jssr.v3i2.4339.
F. S. Pratiwi, M. A. Barata, and A. D. Ardianti, “IMPLEMENTASI METODE SMOTE DAN RANDOM OVER-SAMPLING PADA ALGORITMA MACHINE LEARNING UNTUK PREDIKSI CUSTOMER CHURN DI SEKTOR PERBANKAN,” Jurnal Sistem Informasi dan Informatika (Simika), vol. 8, no. 1, pp. 87–98, Jan. 2025, doi: 10.47080/simika.v8i1.3678.
D. Chen Samiun, “Literature Review: Peran Artificial Intelligence dalam Mendukung Keputusan Bisnis,” Prosiding Seminar Nasional KONSTELASI, vol. 3, no. 1, pp. 44–54, 2026, doi: 10.24002/prosidingkonstelasi.v3i1.13431.
Suhdi et al., “Analisis Sentimen Berbasis Aspek dan Visualisasi Business Intelligence Pada Ulasan Pelanggan Produk Minuman Industri F&B Dari Instagram dan Google Review,” Karapan Network Journal, vol. 2, no. 01, 2026, doi: 10.20473/KNJ.2.01.54-64.
A. Akbaruddin, Y. Herdian, D. Irawan, and F. Ramadhan, “Pemanfaatan Ai Dalam Automated Market Intelligence (Ami) Untuk Pengambilan Keputusan Strategis Di Era Digital,” Jurnal Sosial Teknologi, vol. 5, no. 6, June 2025, doi: 10.59188/jurnalsostech.v5i6.32254.
