Garuda - Garba Rujukan Digital

Bibliometric Review on Infrastructure Monitoring with IoT Judijanto, Loso; Justam, Justam; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.2013

The integration of the Internet of Things (IoT) into infrastructure monitoring has transformed how built environments are observed, maintained, and managed. This study conducts a comprehensive bibliometric review to map the research landscape, thematic trends, and collaboration patterns in the domain of IoT-based infrastructure monitoring. Using data retrieved from the Scopus database (2010–2024) and analyzed through VOSviewer, the study identifies key research clusters, influential authors, prolific countries, and the evolution of core topics over time. Results show that the research focus has shifted from basic sensor deployment and data acquisition to advanced topics such as machine learning, edge computing, data privacy, and cybersecurity. India, China, and the United States emerge as leading contributors, with dense global collaboration networks. The study highlights both the maturity of core research areas and the emergence of new directions such as blockchain integration and privacy-preserving infrastructure systems. These findings provide valuable insights for academics, policymakers, and practitioners aiming to enhance infrastructure resilience and efficiency through IoT technologies.

A Bibliometric Review of Renewable Energy Financing and Sustainable Development Judijanto, Loso; Nampira, Ardi Azhar; Auliani, Restu; Sinaga, Jernita
West Science Social and Humanities Studies Vol. 3 No. 04 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i04.1854

This study presents a comprehensive bibliometric review of the scholarly literature on renewable energy financing and its link to sustainable development. Utilizing data from the Scopus database and analyzed through VOSviewer, the study maps thematic clusters, keyword co-occurrences, author collaborations, and country-level partnerships from 2000 to 2024. The findings reveal that "sustainable development" serves as the conceptual core of this research domain, closely associated with terms such as "green finance," "energy efficiency," and "climate change." Recent trends indicate a growing scholarly focus on financial instruments like green bonds and the broader policy landscape of energy transition. Co-authorship and country collaboration networks demonstrate strong regional concentrations, with China, the United States, and India emerging as key contributors. While the literature is rich in financial and technological insights, gaps remain in addressing social equity, regional financing models, and the integration of digital finance. This study contributes to the literature by offering a systematic overview of research developments, identifying influential contributors, and suggesting future directions for interdisciplinary inquiry into sustainable energy finance.

AI In Diplomacy: An Analysis Of The Role Of Artificial Intelligence In Multilateral Negotiations Judijanto, Loso; Samaduri, Lutpi; Nampira, Ardi Azhar
Synergisia Vol. 2 No. 1 (2025): Synergisia - MAY
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/hkc0nc06

This research analyzes the role of artificial intelligence (AI) in multilateral diplomacy, with a focus on improving the efficiency and effectiveness of international negotiations. Applying a qualitative approach through literature research methods, this analysis collects and synthesizes relevant literature, including books, scientific journals, and policy reports that discuss the interaction between AI and diplomacy. AI has the potential to improve real-time data analysis, sentiment tracking, as well as predict the outcome of diplomatic scenarios, enabling diplomats to be more responsive to complex global challenges. However, the use of AI is also faced with ethical and security challenges, such as algorithmic bias, transparency issues, and the potential for a reduction in the role of humans in diplomatic decision-making. Therefore, it is important to develop a regulatory framework that ensures fair and transparent use of AI in the context of diplomacy. The study provides recommendations to stakeholders on the importance of human oversight and strong governance to optimize the benefits of AI in multilateral diplomacy, while also considering its ethical implications

Bibliometric Analysis of Artificial Intelligence Development in Customer Service Automation Judijanto, Loso; Vandika, Arnes Yuli; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 04 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i04.1861

This study presents a comprehensive bibliometric analysis of scholarly literature on the development of artificial intelligence (AI) in customer service automation, based on data extracted from the Scopus database between 2000 and 2024. Using VOSviewer, the analysis maps the intellectual structure, thematic evolution, and collaborative networks within this rapidly growing research field. Findings reveal that core research themes revolve around customer satisfaction, chatbots, natural language processing, and machine learning—highlighting the shift from back-end AI infrastructure toward user-facing, interactive applications. The overlay visualization indicates a temporal progression, with earlier studies focusing on big data and cloud computing, while more recent works emphasize conversational AI and customer experience. Co-authorship and country collaboration networks show two dominant scholarly communities—one centered in East Asia with a technical focus, and another in Western countries emphasizing service quality and marketing perspectives. Despite the field's growth, gaps remain in cross-regional collaboration, ethical design, and theoretical integration. This study offers valuable insights for researchers, practitioners, and policymakers aiming to advance AI-driven customer service strategies that are both innovative and ethically sound.

Impact Analysis of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance of Start-ups in Jakarta Nampira, Ardi Azhar; Apriyanto, Apriyanto; Arisondha, Edy
West Science Interdisciplinary Studies Vol. 3 No. 05 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i05.1903

This study investigates the impact of Millennial Financial Literacy and Digital Ecosystem Collaboration on Operational Efficiency and Financial Performance in Jakarta-based startups. Using quantitative analysis with 180 samples and Structural Equation Modeling - Partial Least Squares (SEM-PLS), the research identifies significant positive relationships among the variables. Millennial Financial Literacy enhances decision-making and resource allocation, driving operational efficiency and financial performance. Digital Ecosystem Collaboration is shown to have the strongest effect on operational efficiency and financial performance, emphasizing its role in fostering innovation and efficiency. The findings highlight operational efficiency as a critical mediator, bridging financial literacy, collaboration, and financial outcomes. Practical implications include fostering financial education and leveraging ecosystem partnerships for startups to achieve holistic growth. These results contribute to the literature on digital entrepreneurship and provide actionable insights for startup managers.

The Effect of Digital Twin and Edge AI on Industrial Machine Maintenance Optimization in Karawang Saleh, Mohamad Zein; Nampira, Ardi Azhar; Iskandar, Yusuf
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.1988

This study investigates the impact of Digital Twin and Edge AI technologies on optimizing industrial machine maintenance in Karawang, Indonesia. Using a quantitative research approach, data were collected from 80 respondents via a Likert-scale questionnaire and analyzed using SPSS version 25. The findings reveal significant positive relationships between both technologies and maintenance optimization. Digital Twin technology enhances predictive maintenance by enabling real-time simulations, while Edge AI improves decision-making through decentralized data processing. Together, they explain 58% of the variance in maintenance optimization. These results emphasize the synergistic effects of these technologies in reducing downtime, improving operational efficiency, and achieving cost savings. This research contributes to the understanding of advanced technological adoption in industrial maintenance and provides practical implications for enhancing productivity in industrial settings.

Bibliometric Review on Infrastructure Monitoring with IoT Judijanto, Loso; Justam, Justam; Nampira, Ardi Azhar
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.2013

The integration of the Internet of Things (IoT) into infrastructure monitoring has transformed how built environments are observed, maintained, and managed. This study conducts a comprehensive bibliometric review to map the research landscape, thematic trends, and collaboration patterns in the domain of IoT-based infrastructure monitoring. Using data retrieved from the Scopus database (2010–2024) and analyzed through VOSviewer, the study identifies key research clusters, influential authors, prolific countries, and the evolution of core topics over time. Results show that the research focus has shifted from basic sensor deployment and data acquisition to advanced topics such as machine learning, edge computing, data privacy, and cybersecurity. India, China, and the United States emerge as leading contributors, with dense global collaboration networks. The study highlights both the maturity of core research areas and the emergence of new directions such as blockchain integration and privacy-preserving infrastructure systems. These findings provide valuable insights for academics, policymakers, and practitioners aiming to enhance infrastructure resilience and efficiency through IoT technologies.

Gamification and Student Motivation: Evaluating E-Learning Engagement from an Educational Psychology Perspective Sappaile, Baso Intang; Jenheri, Jenheri; Sari, Arum Fandan; Nampira, Ardi Azhar
Darussalam: Journal of Psychology and Educational Vol. 4 No. 1 (2025)
Publisher : Yayasan Minang Darussalam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70363/djpe.v4i1.308

This study investigates the impact of gamification on student motivation and engagement in e-learning environments from an educational psychology perspective. The research aims to evaluate how game-based elements—such as points, badges, leaderboards, and challenges—affect intrinsic and extrinsic motivation, learning persistence, and cognitive engagement among students. Using a mixed-methods approach, data were collected through surveys, system analytics, and interviews involving 210 undergraduate students enrolled in online learning courses. Quantitative results show that gamified features significantly enhance students’ intrinsic motivation and foster higher participation rates, while qualitative findings reveal that meaningful design and feedback mechanisms contribute to a more positive learning experience. The study highlights that gamification is most effective when aligned with psychological principles such as self-determination, goal orientation, and flow theory. These findings provide important implications for instructional designers and educators in creating engaging digital learning environments that promote sustained motivation and academic achievement.

The Impact of Meditation on Brain Structure Changes and Cognitive Function in Young Adults Santos, Luis; Reyes, Maria Clara; Malik, Fatima; Iqbal, Kiran; Nampira, Ardi Azhar
World Psychology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v4i1.811

Meditation has gained significant attention for its potential to enhance cognitive function and promote mental well-being. Previous studies have suggested that meditation can lead to structural changes in the brain, particularly in regions associated with attention, memory, and emotional regulation. However, the precise impact of meditation on brain structure and cognitive function in young adults remains underexplored. This study aims to investigate the effect of regular meditation practice on brain structure changes and cognitive function in young adults. A mixed-methods approach was employed, including structural magnetic resonance imaging (MRI) to assess brain changes and cognitive function assessments, such as attention, memory, and executive function tests, conducted before and after a 12-week meditation intervention. The results showed significant increases in gray matter density in areas related to attention and emotional regulation, including the prefrontal cortex and hippocampus. Cognitive testing revealed improvements in attention, working memory, and cognitive flexibility. These findings suggest that meditation can induce structural changes in the brain that enhance cognitive function, particularly in domains critical for academic and personal development. The study concludes that meditation can be an effective practice for promoting cognitive health and supporting brain development in young adults, highlighting its potential as a non-invasive intervention for cognitive enhancement.

The Impact of Using Learning Applications on the Cognitive Abilities of School-Age Children Putri, Agustin Andhika; Kaya, Cemil; Kara, Sevda; Nampira, Ardi Azhar
World Psychology Vol. 4 No. 1 (2025)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/wp.v4i1.812

The use of digital learning applications has become increasingly prevalent in educational settings, offering a range of interactive tools designed to enhance student engagement and learning outcomes. As technology continues to influence education, it is essential to explore its impact on children’s cognitive abilities, particularly in school-age children. Learning applications are believed to improve cognitive functions such as memory, attention, problem-solving, and critical thinking. However, empirical evidence regarding the effects of these applications on children’s cognitive development remains limited. This study aims to investigate the impact of using learning applications on the cognitive abilities of school-age children. A quasi-experimental design was employed, involving 200 school-age children aged 6-12 years. The children were divided into an experimental group, using learning applications for 12 weeks, and a control group, which continued with traditional learning methods. Cognitive abilities were assessed before and after the intervention using standardized tests measuring attention, memory, and problem-solving skills. The results indicated that children in the experimental group showed significant improvements in cognitive abilities compared to the control group, particularly in memory and problem-solving skills. The study concludes that the use of learning applications positively influences cognitive development in school-age children, providing evidence for the integration of digital tools in educational practices to support cognitive growth.

Title

Found 20 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 20 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 20 Documents
Search