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p-Index From 2021 - 2026
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All Journal The Journal of Information Technology, Computer Science, and Electrical Engineering
Muhammad Irsyad
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.
Application of Business Intelligence to support decision making in determining competent laws in the culinary sector in Deli Serdang Regency using the decision tree algorithm. Muhammad Irsyad; 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.v2i1.156

Abstract

This study examines the application of Business Intelligence (BI) in identifying high-potential culinary Small and Medium Enterprises in Deli Serdang Regency. By using the Decision Tree algorithm, a prediction model is built based on historical sales data, business characteristics, and business environment factors. The results of the model evaluation show that Decision Tree is able to classify competent Small and Medium Enterprises. Key factors that influence the success of Small and Medium Enterprises, such as product quality, marketing strategy, and access to financing, were successfully identified through decision tree analysis. This study concludes that the application of BI with the Decision Tree algorithm can be an effective tool for stakeholders in supporting the development of Small and Medium Culinary Enterprises in Deli Serdang Regency
Co-Authors Alviona Marsya Andysah Putera Utama Siahaan Darmeli Nasution M Dico Triyadi