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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Terpadu
Giantri, Lilik Tiara
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Computer Science & IT Engineering

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Pemanfaatan IoT untuk Efisiensi Energi pada Pabrik Pintar: Tantangan, Solusi dan Tren Teknologi Suciana, Ewin; Nasrullah, Muhammad Hudzaifah; Christanto, Duta Arief; Cahyadi, Dede; Giantri, Lilik Tiara
Jurnal Teknologi Terpadu Vol 11 No 1 (2025): Juli, 2025
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v11i1.1897

Abstract

This study investigates the role of the Internet of Things in enhancing energy efficiency within smart factories by analyzing current trends, driving factors, and challenges. A Systematic Literature Review with the PRISMA framework was employed to ensure systematic and comprehensive selection of studies. The PICO framework guided the formulation of research questions, facilitating rigorous screening of data sourced from the Scopus database with strict inclusion and exclusion criteria. Findings reveal a substantial increase in IoT-related energy efficiency research in smart factories between 2019 and 2025. Key challenges identified include high sensor energy consumption, communication reliability, and network management complexity. Research limitations stem from the exclusive use of the Scopus database and English-language publications. The study highlights the necessity of interdisciplinary approaches and advanced technologies such as 5G and edge computing to address integration and data security issues, thereby supporting the effective and sustainable deployment of IoT in the manufacturing sector.
Optimizing Digital Transformation Through AI and Cloud Technology Integration for Innovation in Big Data-Driven Information Systems Giantri, Lilik Tiara; Hudzaifah, Muhammad; Suciana, Ewin; Arief Christanto, Duta; Cahyadi, Dede
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10067

Abstract

Digital transformation has become critical for SMEs in emerging economies, yet integrated studies combining AI, cloud computing, and human factors remain scarce. This study addresses this gap by developing a holistic framework for Indonesian SMEs through a systematic literature review. Using PRISMA protocol, we analyzed 46 peer-reviewed articles (2020-2025) from Scopus, IEEE Xplore, and Google Scholar, with thematic synthesis in NVivo 12.  The proposed framework reveals three interdependent dimensions: (1) technological integration (AI-cloud-big data synergy), (2) process optimization (automation and analytics), and (3) human-digital leadership (competency and cultural readiness). Case studies show 35% operational efficiency gains but highlight infrastructure and skill gaps. This study contributes a novel integration of TOGAF and DCMM theories, offering policymakers a roadmap for SME digitalization while cautioning against one-size-fits-all solutions.
A Conceptual Hybrid AI-Cloud Model for Government Information Systems: A Structured Literature Review Widya, Tilly Raycitra; Cahyadi, Dede; Arief Christanto, Duta; Giantri, Lilik Tiara; Hudzaifah, Muhammad
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10082

Abstract

This study develops a comprehensive Hybrid AI-Cloud conceptual model to enhance government information systems through digital transformation. Using a systematic literature review (PRISMA protocol) of 51 publications (2020-2025) from Scopus, IEEE Xplore, and ScienceDirect, we identify four critical components: a hybrid architecture combining private and public clouds achieves 97.46% prediction accuracy but faces interoperability challenges in Indonesia where 85% of agencies use disparate systems; layered security with Hyperledger Fabric blockchain reduces data breaches by 72%, though 65% of Indonesian institutions lack CSIRT teams; user-centric designs score 76.88 on SUS scales yet encounter 71% civil servant resistance to AI automation; and organizational adoption strategies based on UTAUT frameworks are hindered by only 12% of civil servants having digital certifications. The research reveals Indonesia's significant gaps in system integration, cybersecurity preparedness, and digital literacy compared to global leaders like Estonia and Singapore. Successful implementation requires standardized cloud architectures with API gateways, mandatory cybersecurity audits, comprehensive digital training programs, and phased adoption roadmaps with change management components. While offering a holistic framework for digital government transformation, the study acknowledges limitations including literature bias toward developed nations and the need for local empirical validation through pilot projects, suggesting future research should incorporate ethical AI governance considerations alongside technical implementations.
Green Technology Adoption: A Systematic Review of Key Trends and Challenges Cahyadi, Dede; Widya, Tilly Raycitra; Christanto, Duta Arief; Nasrullah, Muhammad Hudzaifah; Giantri, Lilik Tiara
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10164

Abstract

This study systematically reviews the trends, drivers, and barriers of green technology adoption, synthesizing insights from 81 articles indexed in the Scopus database from 2019 to 2025. Employing the PRISMA framework and bibliometric analysis, the research aims to provide a comprehensive overview of the academic landscape and offer evidence-based guidance for stakeholders. The findings reveal a growing, albeit limited, academic interest, with a research peak in 2024. Geographically, the discourse is led by developed nations and emerging economies, notably China, while research predominantly focuses on high-impact sectors such as transportation, energy, and manufacturing, leaving critical sectors like agriculture under-examined. Furthermore, this review provides a theoretical contribution by mapping empirical findings onto the Green Innovation Cycle and the Stimulus-Organism-Response (S-O-R) model, thereby strengthening the explanatory power of existing frameworks. We identify key challenges spanning infrastructure, policy, and user behavior, and provide specific recommendations for policymakers, industry leaders, and researchers to foster a more equitable and effective green transition. This research serves as a robust scientific foundation for future studies and strategic initiatives to accelerate global green technology adoption.
Co-Authors Arief Christanto, Duta Cahyadi, Dede Christanto, Duta Arief Hudzaifah, Muhammad Nasrullah, Muhammad Hudzaifah Suciana, Ewin Widya, Tilly Raycitra