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All Journal The Journal of Information Technology, Computer Science, and Electrical Engineering
M Dico Triyadi
Universitas Pembangunan Panca Budi

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Application Of Business Intelligence in Decision Support in Providing Assistance to Business Actors in Deli Serdang Regency Using The Decision Tree Algoritm Andysah Putera Utama Siahaan; Muhammad Irsyad; Alviona Marsya; M Dico Triyadi
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.104

Abstract

This research shows that the application of BusinessIntelligence can Increase accuracy and efficiency in decision – making process regarding the distribution of aid to business actors in Deli Serdang Regency. With the business Intelligence tools used, we are able to identify business actors who need the most hel and have the potential to grow and develop to become business actors who are on the rise. The results of data that has been managed and processed can show that the results of data produced can reduce inappropriate decision making and increase satisfaction for beneficiaries. It Is hoped that the implementation of Business Intelligence tools can become a role model for other regions in an effort to increase the empowerment of Business Actors.
Improving the Accuracy of Small and Medium Enterprise Sales Predictions in Deli Serdang Regency by Implementing Business Intelligence Using the Decision Tree Algorithm M Dico Triyadi; Darmeli Nasution
Journal of Information Technology, computer science and Electrical Engineering Vol. 2 No. 1 (2025): February-May 2025
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v2i1.157

Abstract

This study focuses on improving the accuracy of sales prediction in Small and Medium Enterprises in Deli Serdang Regency through the application of Business Intelligence (BI). By using the Decision Tree algorithm, a prediction model is built based on historical sales data, seasonal factors, and macroeconomic variables. The evaluation results show that the developed model is able to predict sales with the right accuracy. In addition, this model also successfully identifies key factors that influence sales, such as price, promotion, and economic conditions. This study concludes that the application of BI can be an effective tool for Small and Medium Enterprises in making better decisions and increasing competitiveness.
Co-Authors Alviona Marsya Andysah Putera Utama Siahaan Darmeli Nasution Muhammad Irsyad