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All Journal EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi
Romahdoni, Muhammad Reza
Institut Teknologi Dan Bisnis Diniyyah Lampung
Computer Science & IT

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Pengembangan Aplikasi Business Intelligence Berbasis Artificial Intelligence untuk Prediksi Keberhasilan Penjualan Produk dan Keberlanjutan UMKM Romahdoni, Muhammad Reza; Wardana, M.Azka Kesuma; Saputra, Gustrio
EXPERT: Jurnal Manajemen Sistem Informasi dan Teknologi Vol 15, No 2 (2025): December
Publisher : Universitas Bandar Lampung (UBL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36448/expert.v15i2.4620

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Pesawaran Regency face significant challenges, particularly the reliance on traditional sales methods, limited innovation, and minimal use of information technology. Most entrepreneurs still determine sales strategies based on personal experience, often resulting in inaccurate sales forecasts and stock imbalances that disrupt financial stability and business continuity. To address this issue, an Artificial Intelligence based Business Intelligence application was developed using the Agile Software Development methodology. The system employs the Random Forest algorithm to predict product sales success. Evaluation results demonstrate that the model achieved an accuracy of 86%, with a precision of 0.88, recall of 0.93, and F1-score of 0.90, indicating strong predictive performance. To further improve system reliability, it is recommended to increase training data particularly in the “Failed” class and optimize Random Forest parameters, such as the number of decision trees, tree depth, and feature selection, to achieve better predictive outcomes.
Co-Authors Saputra, Gustrio Wardana, M.Azka Kesuma