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All Journal Jurnal Pendidikan Islam Indonesian Journal of Science and Technology Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Business and Behavioural Entrepreneurship Jurnal Teknologi Informasi dan Pendidikan FIRM: Journal of Management Studies International Journal of Research and Applied Technology (INJURATECH) INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS ASEAN Journal for Science and Engineering in Materials ASEAN Journal of Educational Research and Technology Indonesian Journal of Strategic Management (IJSM)
Senny Luckyardi
Departemen Magister Manajemen, Universitas Komputer Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Predictive Modelling of Electronic Materials: A Review of Deep Learning Techniques in Computer Engineering Agis Abhi Rafdhi; Hanhan Maulana; Senny Luckyardi; Eddy Soeryanto Soegoto; Dostnazar Ximmataliyev; Goh Kang Wen; Tomáš Chochole; Hewa Majeed Zangana
ASEAN Journal for Science and Engineering in Materials Vol 5, No 3 (2026): AJSEM: Volume 5, Issue 3, December 2026
Publisher : Bumi Publikasi Nusantara

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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.
Evolution of Artificial Intelligence (AI)-driven Information Systems in Higher Education: A Review Juliana Karin; Dian Dharmayanti; Senny Luckyardi; Eddy Soeryanto Soegoto; Dostnazar Ximmataliyev; Mohd. Kamir Yusof; Tomáš Chochole; Hewa Majeed Zangana
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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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.
The Attraction of Cultural Tourism from a Creativepreneurship Perspective Vanna Nazwa Durrani; Puti Intan Al Chaniago; Nadya Sagita Junaedi; Senny Luckyardi
IJSM Vol 9 No 1 (2026): Indonesia Journal of Strategic Management
Publisher : Program Studi Manajemen Fakultas Ekonomi dan Bisnis Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/bqbhy627

Abstract

Bandung is one of the creative economy centers in Indonesia with great potential in cultural tourism. This study aims to analyze the cultural appeal and the influence of cultural elements and the application of creativepreneurship principles on tourist interest and satisfaction. This study also evaluates the economic impact of the gallery on the local community and provides recommendations for development. The study uses a case study method at the NuArt Gallery with a qualitative descriptive approach with data collection techniques through observation, interviews with visitors to the NuArt Gallery, and documentation studies. Data were analyzed thematically to explore the meaning, experience, and perception of cultural values and gallery management strategies. Initial results indicate that the monumental sculpture collection and open art space are the main attractions. Positive responses from visitors indicate that activities such as workshops and collaborations with local artists support the concept of creativepreneurship and increase satisfaction. The NuArt Gallery is expected to have a positive economic impact on the surrounding community through increased income and tourist visits. Initial conclusions indicate that the NuArt Gallery has great potential as a cultural tourism destination and a driver of the creative economy in Bandung. The findings show a positive trend.
Co-Authors Agis Abdi Rafdhi Agis Abhi Rafdhi Bagus Hary Prakoso Benny Widaryanto Bobi Kurniawan, Bobi Chepi Nur Albar Citra Nurimbono Dian Dharmayanti Dina Oktafiani Diva Anindita Apriliani Dostnazar Ximmataliyev Eddy Soeryanto Soegoto Goh Kang Wen Herman Soegoto Hewa Majeed Zangana I Fadhillah Iskandar Ikbal Ivan Kalka Iskandar Juliana Karin Latifah Nurdiana M Azis Maulana, Hanhan Melyana Agustin Mohd. Kamir Yusof Nadya Sagita Junaedi Puti Intan Al Chaniago Putri Khairunnisa Salsabila Raiswati Untsa Mega Reza Nur Rosiyana Riska Endah Septiani S Hasya Shafira Hardian Alkhoir Silvi Munawaroh Tatik Rohmawati Theresia Valentina Lumban Gaol Tomas Chochole Vanna Nazwa Durrani