Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
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This Author published in this journals
All Journal ⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities ⁠International Journal of Asian Pacific Community Service
Moch. Amrodji
Universitas Kristen Cipta Wacana
Religion Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Law, Crime, Criminology & Criminal Justice

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TOWARD A THEORETICAL DIGITAL TWIN FRAMEWORK FOR STRUCTURAL HEALTH MONITORING IN SMART BUILDINGS: A LITERATURE Moch. Amrodji; Agung Hariadi
⁠International Journal of Sustainable Social Culture, Science Technology, Management, and Law Humanities Vol. 3 No. 1 (2026)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/2h2jk216

Abstract

Digital Twin technology has emerged as a promising approach for improving structural health monitoring (SHM) in smart buildings through real-time data integration, virtual modeling, and predictive analysis. However, a comprehensive theoretical framework integrating Digital Twin concepts within SHM systems remains limited in civil engineering research. This study aims to develop a theoretical Digital Twin framework for structural health monitoring in smart buildings using a literature review approach. The review examines previous studies related to Digital Twin, Building Information Modeling (BIM), Internet of Things (IoT), sensor technologies, and artificial intelligence in smart infrastructure applications. The findings identify key components and integration mechanisms required to support real-time monitoring, anomaly detection, and predictive maintenance of building structures. The proposed framework contributes to the development of intelligent, resilient, and sustainable smart building systems and provides a conceptual foundation for future research and practical implementation in civil engineering.
Advanced Assistance in Scientific Manuscript Preparation Using Artificial Intelligence (AI), Google Scholar, and Reference Management Tools to Strengthen Students’ Academic Literacy and Publication Moch. Amrodji; Agung Hariadi; Hendrik Richard; Tries Edy Wahyono
⁠International Journal of Asia Pacific Community Service Vol. 3 No. 1 (2026)
Publisher : Universitas Kristen Cipta Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71131/1v47tk27

Abstract

This community service program aimed to strengthen students’ academic literacy and improve the quality of scientific publications through advanced assistance in scientific manuscript preparation using Artificial Intelligence (AI), Google Scholar, and reference management tools. The activity involved undergraduate students and was conducted through training sessions, guided practice, and intensive mentoring focused on literature searching, citation management, academic paraphrasing, and manuscript organization. AI-based tools were introduced to support idea development, language refinement, and academic writing efficiency while maintaining research ethics and originality. The implementation results indicated increased student understanding of scientific writing techniques, improved ability to manage references systematically, and higher confidence in preparing publication-oriented manuscripts. Participants were also able to utilize digital academic resources more effectively in supporting evidence-based writing. Overall, the program contributed positively to enhancing students’ academic competencies and fostering a sustainable culture of scholarly writing in higher education.
Co-Authors Agung Hariadi Agung Hariadi Hendrik Richard Tries Edy Wahyono