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All Journal International Journal of Electrical and Computer Engineering Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI)
Nguyen, Duc-Hien
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering

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A Data-Driven Approach to Business Intelligence for Evaluating Football Player Performance Mai, Lam; Tran, Thu-Thuy; Nguyen, Duc-Hien
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 1 (2025): Juni 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i1.284

Abstract

Analyzing football players' performance is a crucial focus in modern sports science, providing insights into player efficiency and team strategies. This paper proposes a comprehensive framework for evaluating player performance by integrating statistical metrics, match data, and advanced analytics techniques. Key performance indicators (KPIs), including passing accuracy, goal contributions, and defensive actions, are analyzed alongside contextual factors such as match conditions and opposition strength. Using a dataset of per-90-minute statistics for the 2022-2023 season, this study covers players from top European leagues: the Premier League, Ligue 1, Bundesliga, Serie A, and La Liga. The proposed model offers coaches, analysts, and researchers actionable insights to enhance player development and optimize team strategies.
An approach based on deep learning that recommends fertilizers and pesticides for agriculture recommendation Huy Cuong, Nguyen Ha; Trinh, Trung Hai; Nguyen, Duc-Hien; Bui, Thanh Khiet; Kiet, Tran Anh; Ho, Phan Hieu; Thuy, Nguyen Thanh
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5580-5588

Abstract

With the advancement of the internet, individuals are becoming more reliant on online applications to meet most of their needs. In the meantime, they have very little spare time to devote to the selection and decision-making process. As a result, the need for recommender systems to help tackle this problem is expanding. Recommender systems successfully provide consumers with individualized recommendations on a variety of goods, simplifying their duties. The goal of this research is to create a recommender system for farmers based on tree data structures. Recommender system has become interesting research by simplifying and saving time in the decision-making process of users. We conducted although a lot of research in various fields, there are insufficient in the agriculture sector. This issue is more necessary for farmers in Quangnam-Danang or all Vietnam countries by severe climate features. Storm from that, this research designs a system based on tree data structures. The proposed model combines the you only look once (YOLO) algorithm in a convolutional neural network (CNN) model with a similarity tree in computing similarity. By experiments on 400 samples and evaluating precision, accuracy, and the value of the predictive test as determined by its positive predictive value (PPV), the research proves that the proposed model is feasible and gain better results compared with other state-of-the-art models.
Co-Authors Bui, Thanh Khiet Ho, Phan Hieu Huy Cuong, Nguyen Ha Kiet, Tran Anh Mai, Lam Thủy, Nguyễn Thanh Tran, Thu-Thuy Trinh, Trung Hai