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All Journal JURNAL ILMIAH GLOBAL EDUCATION ASEAN Journal for Science and Engineering in Materials ASEAN Journal of Educational Research and Technology
Ximmataliyev, Dostnazar
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Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Education Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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Character Education in Schools: A Comparison of Indonesian and Japanese Policies Arina, Ida; Deni Darmawan, Deni; Buriyeva, Kibrio; Ximmataliyev, Dostnazar
Jurnal Ilmiah Global Education Vol. 6 No. 2 (2025): JURNAL ILMIAH GLOBAL EDUCATION, Volume 6 Nomor 2
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v6i2.3779

Abstract

Character education in schools is an important concern in improving the quality of education in Indonesia. By comparing policies with Japan, we can understand the differences in approaches and strategies in developing student character. Indonesia and Japan implement character education in the education system to form a generation with good character and preserve important cultural and traditional values ​​in society. Character education plays an important role in maintaining and continuing cultural heritage, as well as strengthening traditional values ​​in society. Thus, character education becomes an effective means to maintain and preserve unique cultural identities and traditions. Character education in Indonesia and Japan has different backgrounds. In Indonesia, character education was introduced as an effort to improve the quality of education and form students with good character. The Indonesian government has issued various policies to support the implementation of character education in schools. Meanwhile, Japan has had a strong tradition of character education for a long time, with an emphasis on values ​​such as discipline, hard work, and responsibility. Character education is an important aspect of the education system that aims to shape students into individuals with noble character, integrity, and positive contributions to society. In recent years, character education has become a focus of attention in various countries, including Indonesia and Japan. The two countries have different approaches in implementing character education in schools. This article will compare character education policies in Indonesia and Japan, and analyze the advantages and disadvantages of each approach
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): 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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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.
Predictive Modelling of Electronic Materials: A Review of Deep Learning Techniques in Computer Engineering Rafdhi, Agis Abhi; Maulana, Hanhan; Luckyardi, Senny; Soegoto, Eddy Soeryanto; Ximmataliyev, Dostnazar; Wen, Goh Kang; Chochole, Tomáš; Zangana, Hewa Majeed
ASEAN Journal for Science and Engineering in Materials Vol 5, No 3 (2026): (ONLINE FIRST) AJSEM: Volume 5, Issue 3, December 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

This review evaluates the application of deep learning (DL) for the predictive modeling of electronic materials in computer engineering. We analyzed peer-reviewed literature across four major databases, focusing exclusively on advanced architectures like Graph Neural Networks (GNNs) and Generative models. Results indicate these models accurately predict critical properties, such as band gaps and thermal conductivity, for next-generation semiconductors, 2D materials, and memristors. These high accuracies are achieved because architectures like GNNs effectively capture complex 3D spatial interactions without requiring manual feature engineering. However, practical fabrication remains hindered by data scarcity, algorithmic opacity, and a profound "Sim-to-Real Gap". While DL accelerates predictive design, sustaining Moore's Law ultimately requires developing autonomous "Self-Driving Labs" and Large Material Models to bridge digital predictions with physical synthesis.
Co-Authors Arina, Ida Bobi Kurniawan, Bobi Buriyeva, Kibrio Chochole, Tomas Deni Darmawan, Deni Dharmayanti, Dian Eddy Soeryanto Soegoto Karin, Juliana Luckyardi, Senny Maulana, Hanhan Rafdhi, Agis Abhi Septiani, Riska Endah Wen, Goh Kang Yusof, Mohd. Kamir Zangana, Hewa Majeed