Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Al Ishlah Jurnal Pendidikan Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Applied Science and Engineering
Resky Nuralisa Gunawan
Universitas Negeri Yogyakarta
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Development of Numerical Literacy Question Instrument based on Computational Thinking for Mathematics Learning Zafrullah Zafrullah; Syukrul Hamdi; Astri Wahyuni; Rina Safitri; Resky Nuralisa Gunawan; Yoel Istiawanto
AL-ISHLAH: Jurnal Pendidikan Vol 16, No 4 (2024): AL-ISHLAH: JURNAL PENDIDIKAN
Publisher : STAI Hubbulwathan Duri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35445/alishlah.v16i4.5985

Abstract

This study is developmental research that aims to develop a numeracy literacy instrument based on computational thinking in mathematics learning, using the Plomp model to ensure the quality and relevance of the instrument. Selection of respondents using Cluster Random Sampling involving 220 grade 8 students at 5 State Junior High Schools in Bantul Yogyakarta, the instrument was tested for content validity using the Aiken method, resulting in an average validity score of 0.81, indicating that the instrument is valid. Confirmatory Factor Analysis (CFA) results showed that all latent variables had loading factor values above 0.5, these items more accurately represent numerical literacy abilities based on the computational thinking being measured.. Construct Reliability (CR) and Average Variance Extracted (AVE) analysis show that all dimensions meet the criteria, although the Problem Decomposition dimension requires more attention to its indicators because its AVE value is only slightly above the minimum limit. This study is limited to a relatively small number of respondents, so it is necessary to expand the sample coverage to increase the generalizability of the results. This research develops an effective instrument to improve mathematics learning and prepare students for final exams such as the Asesmen Standardisasi Pendidikan Daerah (ASPD) with better numeracy literacy skills.
Trends Use of Technology Research for Early Childhood Education: A Bibliometric & Biblioshiny Analysis (1971-2024) Atika Miftah Ramadhani; Risky Setiawan; Resky Nuralisa Gunawan; Zafrullah Zafrullah; Rizki Tika Ayuni
Jurnal Penelitian Pendidikan IPA Vol 10 No 11 (2024): November
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i11.8147

Abstract

This study aims to analyze research trends in the use of technology in early childhood education using the Scopus Database. Employing the PRISMA method, the author identified 172 final documents, analyzed through the R Program and VOSviewer. The analysis reveals that research in this area commenced in 1971, with a fivefold increase in publications over the past 20 years. The year 2020 marked the peak with an h-index of 7 and 11 publications (6.39%). Illinois State University emerged as the leading institution with 11 articles (6.39%). The United States is the most productive country, contributing 28 articles (16.28%) and 786 citations (26.85%). Susan Edwards from Australian Catholic University is the most prolific author, achieving an h-index of 5, 253 citations (8.64%), and 5 publications (2.90%). The International Journal of Technology and Design Education is the top source, with 292 citations (9.97%) and 11 publications (6.39%). The document by Blackwell et al. (2014) received the highest citations at 210 (9.02%). The study identified 54 keywords across 7 clusters, recommending "Digital Competence," "Self-directed learning," and "Participatory design" for future research in this field.
Digital Administrative Service Quality and Student Satisfaction in Higher Education: A Bibliometric Analysis Resky Nuralisa Gunawan; Dwi Mahardiyati; Lamanisa Rasid Saputra; Indah Sari Hamid
Indonesian Journal of Applied Science and Engineering Vol. 3 No. 2 (2025)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v3i2.176

Abstract

The rapid digitalization of higher education has transformed administrative service delivery and increased the importance of digital service quality in shaping student experiences and satisfaction. However, research on digital administrative service quality remains dispersed across higher education, service management, educational technology, and information systems, making it difficult to identify its development and thematic structure. This study aims to examine the development, characteristics, and thematic evolution of research on digital administrative service quality and student satisfaction in higher education. Bibliometric and science-mapping analyses were conducted using 36 Scopus-indexed documents published between 2015 and 2025, identified through a structured search conducted on June 27, 2025. Bibliographic data were analysed using descriptive bibliometric techniques and VOS viewer to examine publication trends, document types, subject areas, author and country contributions, keyword co-occurrence, and temporal patterns. The results show that journal articles represented the largest proportion of publications (63.9%), followed by conference papers (19.4%) and book chapters (11.1%). Social Sciences constituted the largest subject area (28.8%), followed by Computer Science (21.2%) and Engineering (10.6%). Keyword co-occurrence analysis identified higher education, students, satisfaction, service quality, and e-learning as prominent themes, while artificial intelligence and chatbot-related terms appeared as more recent themes in the dataset. The temporal pattern therefore suggests emerging attention toward AI-enabled and increasingly interactive digital services, although this pattern should be interpreted cautiously given the limited number of documents analysed. The study provides a preliminary bibliometric overview of the research intersection between digital administrative service quality and student satisfaction and identifies potential directions for future empirical research on usability, accessibility, responsiveness, trust, artificial intelligence, and student experience in higher education.
AI-Driven Innovation Management: A Bibliometric and Science Mapping Analysis Nurfitri Ramadana; Desy Dwi Putri; Lamanisa Rasid Saputra; Indah Sari Hamid; Resky Nuralisa Gunawan; Nadya Viranti Khamsiah
Indonesian Journal of Applied Science and Engineering Vol. 4 No. 2 (2026)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/ijase.v4i2.177

Abstract

The rapid development of artificial intelligence (AI) has transformed innovation management by enabling organizations to enhance decision-making, knowledge management, business processes, and the development of innovative products, services, and business models. As the number of publications continues to increase and the research becomes increasingly multidisciplinary, studies on AI-driven innovation management have expanded across various disciplines, creating a need for a more systematic mapping of the field's development, thematic structure, and emerging topics. This study aims to map the evolution of AI-driven innovation management and identify its intellectual and thematic structure through bibliometric and science mapping analysis. The study employed a bibliometric approach using scientific publications indexed in the Scopus database. Data were collected on 5 July 2026 using the TITLE-ABS-KEY search field and predefined keywords related to AI-driven innovation, artificial intelligence, innovation management, and digital innovation. From an initial 180 documents, 80 English-language journal articles published between 2019 and 2026 were selected through a screening process and analyzed using descriptive bibliometric analysis and VOSviewer-based science mapping. The results indicate a substantial increase in publications since 2024, with 2025 recording the highest number of publications, totaling 43 articles. The data for 2026 represent a partial year because data collection was conducted in July and should therefore be interpreted with caution. China and India were the leading contributing countries, with 11 publications each. Business, Management and Accounting was the dominant subject area, accounting for 43% of the total publications. Keyword analysis indicates that artificial intelligence occupies a central position and is strongly connected with innovation, digital transformation, machine learning, knowledge management, and project management. The overlay visualization identifies several relatively recent themes, including generative AI, Industry 5.0, AI-driven business model innovation, leadership, and knowledge acquisition and transfer. The study concludes that AI-driven innovation management is evolving from a primarily technology-oriented focus toward a more strategic, knowledge-oriented, and interdisciplinary research domain. These emerging themes represent promising research areas based on the current bibliometric patterns and warrant further investigation.
Co-Authors Astri Wahyuni Atika Miftah Ramadhani Desy Dwi Putri Dwi Mahardiyati Indah Sari Hamid Lamanisa Rasid Saputra Nadya Viranti Khamsiah Nurfitri Ramadana Rina Safitri Risky Setiawan Rizki Tika Ayuni Syukrul Hamdi Yoel Istiawanto Zafrullah Zafrullah