Claim Missing Document
Check
Articles

Found 3 Documents
Search

Implementation of Digitalization of City Infrastructure for Improved Sustainability: Case Study on Smart City Project in Surabaya, Indonesia Loso Judijanto; Moh. Erkamim; Erlin Dolphina; I Wayan Karang Utama
West Science Nature and Technology Vol. 1 No. 02 (2023): West Science Nature and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsnt.v1i02.488

Abstract

The application of digitalization in urban contexts, particularly through Smart City initiatives, has become an important avenue to address the complexities of modern urban life. This study focuses on the Smart City Project in Surabaya, Indonesia, aiming to quantitatively analyze the impact of digitalization on sustainability indicators from a community perspective. A quantitative approach, including a survey of 190 residents and regression analysis, was used to comprehensively explore the relationship between demographic factors, perceptions of digital infrastructure and sustainability outcomes. The results showed statistically significant improvements in sustainability indicators, with waste reduction behavior and community satisfaction being particularly important. Regression analysis shows that age, income, and digital literacy significantly influence sustainability outcomes. These findings contribute to the growing body of knowledge on Smart Cities initiatives, offering insights for policymakers, urban planners, and community leaders to increase the effectiveness of digitalization in fostering sustainable urban environments.
Mapping the Literature on the Effectiveness of Conflict Management in Inclusive Education Slamet Riyadi; I Wayan Karang Utama; Arisman Sabir; Ahmad Muktamar
West Science Interdisciplinary Studies Vol. 2 No. 07 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i07.1100

Abstract

This study provides a comprehensive bibliometric analysis of the literature on inclusive education, revealing key thematic clusters, research trends, potential research opportunities, and author collaboration networks. The central theme of inclusive education is examined through the lens of various interconnected topics, including teaching strategies, attitudes and self-efficacy, stakeholder perceptions, and policy implementation. The analysis of research trends highlights a dynamic evolution in the field, with growing attention to innovative teaching methods, effective teacher training, and inclusive educational practices. The study identifies several potential research areas, such as the development of differentiated instruction techniques, the impact of culturally responsive teaching, and the role of community involvement in supporting inclusive education. The author collaboration network reveals distinct research clusters and influential researchers, emphasizing the importance of collaborative efforts in advancing the field. Overall, this bibliometric analysis provides valuable insights into the current state of research in inclusive education and outlines crucial areas for future investigation to enhance educational outcomes for all students.
An Interdisciplinary Bibliometric Review of the Symbiotic Relationship between Business Intelligence and Artificial Intelligence Loso Judijanto; I Wayan Karang Utama; Nita Priska Ambarita; Indra Permana
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 02 (2023): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i02.183

Abstract

This research conducts an interdisciplinary bibliometric review to explore the symbiotic relationship between Business Intelligence (BI) and Artificial Intelligence (AI). Utilizing advanced bibliometric tools, we analyze a comprehensive dataset extracted from reputable databases, encompassing articles that meet predefined inclusion criteria. The study reveals thematic clusters, influential documents, and core keywords shaping the discourse within the BI-AI landscape. Thematic clusters highlight the multidisciplinary nature of research, ranging from the impact of AI on finance to business model innovation and sustainability. The top-ten cited documents provide a snapshot of seminal works guiding academic and practical understanding, while keyword analysis illuminates the central themes and areas of emphasis. The cross-analysis of these elements offers a nuanced view of the evolving landscape of BI-AI integration. The findings not only contribute to academic scholarship but also provide practical insights for organizations navigating the dynamic intersection of BI and AI.