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All Journal Journal of Artificial Intelligence and Engineering Applications (JAIEA) Al-Aqlu : Jurnal Matematika, Teknik dan Sains
Yahya, Muhammad Hamdi
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Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Engineering Mathematics

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KAJIAN PENERAPAN MATRIKS DALAM KEHIDUPAN SEHARI-HARI UNTUK MENINGKATKAN MOTIVASI BELAJAR: A Literature Review on the Application of Matrices in Daily Life to Enhance Learning Motivation Yahya, Muhammad Hamdi; Raharjo, Karunia; Ammarulloh, Satriaji; Putri, Adhysta Az-zahra; Himawan, Inggil
Al-Aqlu: Jurnal Matematika, Teknik dan Sains Vol. 3 No. 2 (2025): Juli 2025
Publisher : Yayasan Al-Amin Qalbu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59896/aqlu.v3i2.296

Abstract

This article is a literature review aimed at analyzing how the application of matrix concepts in real-life contexts can influence students’ motivation to learn mathematics. The main issue addressed is the lack of student interest due to the abstract nature of matrix material, which is often disconnected from their daily experiences. To address this, the study synthesizes findings from previous academic works and analyzes the effectiveness of contextual approaches in mathematics education. The review reveals that learning strategies such as Problem-Based Learning (PBL), Realistic Mathematics Education (PMRI), and Contextual Teaching and Learning (CTL) significantly enhance students' conceptual understanding and engagement. When matrix concepts are presented through familiar situation such as scheduling, task allocation, or simple data processing students become more confident, involved, and interested in learning. In conclusion, aligning mathematical content with everyday experiences provides a more relevant and enjoyable learning process that fosters stronger learning motivation and a better appreciation for the practical use of mathematics.
Optimizing the Execution Time of JOIN Queries and Subqueries Using MySQL Yahya, Muhammad Hamdi; Satriaji; Gathan; Zaki
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1872

Abstract

Relational database systems form the backbone of modern information management. However, the escalating volumes of data and increasing complexity of queries present substantial performance challenges in data retrieval operations. This study investigates the execution time differences between Subqueries and five join methods: Inner Join, Left Join, Right Join, AsOf Join and Lateral Join, in MySQL environments. An experimental methodology was employed, utilising two simulated relational tables containing 100, 1,000, and 10,000 rows of data. Each query method was executed three times under identical system conditions to establish reliable average execution times. The findings demonstrate that join operations substantially outperform subqueries across all tested datasets. Inner Join, Left Join and Right Join maintained execution times below 0.04 seconds, even with the most extensive dataset. Conversely, subqueries exhibited significant performance degradation, with execution times increasing to tens of seconds as the data volume increased. This performance disparity stems from the iterative processing inherent to subqueries, which intensifies proportionally with dataset scale, whereas join operations leverage more efficient simultaneous data processing and merging algorithms. The research concludes that join methods constitute the more appropriate choice for medium to large-scale data scenarios, offering practical optimisation guidance for database developers and administrators implementing MySQL-based systems.
Co-Authors Ammarulloh, Satriaji Gathan Himawan, Inggil Putri, Adhysta Az-zahra Raharjo, Karunia Satriaji Zaki