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Novita Kunia Wahyu
Universitas Muhammadiyah Kolaka Utara, Lasusua, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science

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Rancang Bangun Sistem Pembelajaran Online Berbasis Web Menggunakan Database MySQL Muh.Arfah Wahlil Pratama; Abdillah Sirfanal Hak; Denis Pratama; Putri Yunansi Bonsa; Sriyanti Azzahrah; Novita Kunia Wahyu; Imelda Masdar; Kharisma Dewi; Tri Ulfani; Adel Asti Ananta
Jurnal Teknologi dan Bisnis Cerdas Vol 2 No 2 (2026): Volume 2 Nomor 2 (Juni 2026)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v2i2.52

Abstract

The rapid development of information technology has driven the transformation of conventional learning into web-based online learning. However, not all educational institutions have sufficient resources and infrastructure to adopt large-scale e-learning platforms. This study aims to design and develop a web-based online learning system using the PHP programming language and a MySQL database to support learning activities in small-scale higher education institutions. The research method employed is software engineering using the Waterfall development model, which includes requirements analysis, system design, implementation, and testing stages. The system involves three main actors: Administrator, Lecturer, and Student, with features for user management, learning material management, assignments, quizzes, and learning assessment. The results of functional testing using the black-box method indicate that all system features operate in accordance with user requirements. This study contributes a simple e-learning system model that is easy to develop and implement in educational institutions with limited technological infrastructure.
PENGGUNAAN TEKNOLOGI WEB UNTUK SISTEM E-LEARNING ADAPTIF DI PENDIDIKAN Sardiansyah Sabir; Novita Kunia Wahyu; Nurhalima Nurhalima; Nurazizah Nurazizah; Abdillah Sirfanal Hak; Muh. Alfarizi Asbir
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 3 (2025): Volume 1 Nomor 3 (Desember 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i3.20

Abstract

The development of web technology has accelerated the adoption of adaptive e-learning systems; however, existing literature indicates variations in approaches, limited integration of artificial intelligence, and a lack of comprehensive mapping of research trends in this field. This study conducts a Systematic Literature Review of 20 studies published between 2020 and 2025 to identify developments, challenges, and opportunities in web-based adaptive e-learning. The findings reveal that the integration of machine learning, learning analytics, and content personalization techniques is increasingly implemented and has been shown to improve learner engagement and learning outcomes. Nevertheless, many studies still focus primarily on higher education, have not fully optimized real-time analytics, and provide limited discussion on the need for ethical regulation of artificial intelligence. Specifically, this study identifies three major trends: (1) the integration of machine learning with real-time learning analytics, (2) more inclusive adaptive designs addressing diverse learner needs and learning styles, and (3) the growing urgency of ethical AI regulation in education. In addition, this review highlights research gaps in vocational and non-formal education, which remain underexplored. These findings provide directions for future research and recommendations for the development of more effective and sustainable web-based adaptive e-learning systems.
Co-Authors Abdillah Sirfanal Hak Adel Asti Ananta Denis Pratama Imelda Masdar Kharisma Dewi Muh. Alfarizi Asbir Muh.Arfah Wahlil Pratama Nurazizah Nurazizah Nurhalima Nurhalima Putri Yunansi Bonsa Sardiansyah Sabir Sriyanti Azzahrah Tri Ulfani