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Evolution of Artificial Intelligence (AI)-driven Information Systems in Higher Education: A Review Karin, Juliana; Dharmayanti, Dian; Luckyardi, Senny; Soegoto, Eddy Soeryanto; Ximmataliyev, Dostnazar; Yusof, Mohd. Kamir; Chochole, Tomáš; Zangana, Hewa Majeed
ASEAN Journal of Educational Research and Technology Vol 5, No 3 (2026): (ONLINE FIRST) AJERT: VOLUME 5, ISSUE 3, December 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

Artificial Intelligence (AI) has fundamentally reshaped the architecture of Information Systems (IS) within higher education institutions. This systematic literature review examines the technological transition from traditional management databases to intelligent, autonomous frameworks. By analyzing peer-reviewed studies published over the last decade, this paper identifies three major evolutionary phases: the automation of administrative tasks, the rise of adaptive learning platforms, and the integration of predictive analytics for student success. The findings highlight how AI-driven systems enhance operational efficiency and personalize student experiences while simultaneously introducing complex challenges regarding data ethics and algorithmic bias. This review provides a comprehensive synthesis of current trends, offering a strategic roadmap for educators and technologists to navigate the future of intelligent academic ecosystems.
Energy-Harvesting Materials for Autonomous Smart Farming Sensors: A Literature Review Septiani, Riska Endah; Kurniawan, Bobi; Luckyardi, Senny; Soegoto, Eddy Soeryanto; Ximmataliyev, Dostnazar; Yusof, Mohd. Kamir; Chochole, Tomas; Zangana, Hewa Majeed
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): (ONLINE FIRST) AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

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Abstract

The integration of the Internet of Things (IoT) in smart farming is hindered by limited battery life and the environmental impact of electronic waste. This review evaluates the development of energy-harvesting materials as a solution to power autonomous agricultural sensors. Through a systematic review, this paper analyzes three main mechanisms: Organic Photovoltaic (OPV), triboelectric nanogenerator/piezoelectric nanogenerator (TENG/PENG), and thermoelectric generator (TEG). Flexible polymers for TENGs and perovskite-based solar cells have the highest potential in addressing canopy shading and outdoor weather challenges. However, material toxicity and degradation due to UV and humidity remain major obstacles. Future research must prioritize biocompatible materials and hybrid systems to ensure the sustainability of precision agriculture.