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All Journal JURNAL EVALUASI PENDIDIKAN Ideguru: Jurnal Karya Ilmiah Guru Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran International Journal of Business, Law, and Education Nusantara: Jurnal Pendidikan Indonesia Journal of Community Development Jurnal Simki Pedagogia Edu Cendikia: Jurnal Ilmiah Kependidikan Indo-MathEdu Intellectuals Journal Jurnal Kolaboratif Sains International Education Trend Issues UPGRADE: Jurnal Pendidikan Teknologi Informasi EDUPEDIKA Jurnal Pengabdian Pada Masyarakat IPTEKS
Reny Refitaningsih Peby Ria
Bumigora University
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Bibliometric Insights into Computational Thinking and Green Computing Awareness: Emerging Trends Toward Sustainable Digital Pedagogy (2015–2024) Ria, Reny Refitaningsih Peby; Yuda, Lalu Setia; Patty, Elyakim Nova Supriyedi
Jurnal Kolaboratif Sains Vol. 8 No. 11: November 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/jks.v8i11.9055

Abstract

The digital transformation in higher education requires the integration of computational literacy and environmental awareness to achieve sustainable learning practices. This study aims to map the interrelation between Computational Thinking (CT), Green Computing Awareness (GCA), and the use of statistical analysis software within the framework of Sustainable Digital Pedagogy. The research employed a descriptive bibliometric approach. The dataset consisted of 60 documents refined from the Scopus database covering the 2015–2024 period. Data were analyzed using the analyze results feature on the Scopus website and the VOSviewer software to identify publication trends, thematic networks, and the global evolution of related studies. The findings reveal that CT occupies the most central position in the research landscape, while GCA forms an independent cluster emphasizing energy efficiency and technological sustainability. The use of statistical analysis software serves as a conceptual bridge between the two domains. These findings highlight the need for an integrative approach that combines cognitive, ecological, and analytical dimensions in higher education. This study provides conceptual insights and strategic implications for developing curricula and green digital campus policies oriented toward sustainability.
The Impact of Teacher Experience and Motivation on the Performance of Elementary School Teachers in Wawo District, Bima, NTB Patty, Elyakim Nova Supriyedi; Iriyani, Sri Astuti; Hadi, Heri Sopian; Marlina, Marlina; Ria, Reny Refitaningsih Peby
Jurnal Simki Pedagogia Vol 7 No 1 (2024): Volume 7 Nomor 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jsp.v7i1.275

Abstract

This research aims to explain the following: (1) The joint impact of experience and motivation on teacher performance. (2) the impact of teacher experience on teacher performance and (3) the impact of teacher motivation on teacher performance in Wawo sub-district, Bima, NTB. The sample for this research consisted of 153 certified civil servant educators from Wawo District, Bima Regency. The "random sampling" method was used to select 110 educators at random. Data collection in this study was obtained through tests and questionnaires. The reliability coefficient of teacher performance was rtt = 0.897, and the reliability coefficient of teacher motivation was rtt = 0.850, after giving the test instruments to 25 teachers outside the teacher sample took it. Teacher performance was 0.885 and principal leadership was 0.941. Descriptive quantitative analysis, multiple linear regression analysis, and partial correlation analysis were used to analyze the data in this research. The correctness of the data was checked with the help of computing software. The results of this research concluded that (1) teacher experience and teacher motivation have a positive and statistically significant effect on teacher performance. Effectively, 16.08% of teacher performance can be attributed to teacher motivation factors, followed by 11.45% of teacher experience factors; (2) the teacher experience factor has a significant positive effect on teacher performance. There is a positive correlation between teacher motivation and student achievement; (3) teacher performance increases with increasing years of experience. The more inspired a teacher is, the more effective they are in the classroom.
Computational Thinking Assessment: Bibliometric Analysis-VOSviewer Ria, Reny Refitaningsih Peby
Jurnal Simki Pedagogia Vol 7 No 1 (2024): Volume 7 Nomor 1 Tahun 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jsp.v7i1.343

Abstract

Computational thinking is a very important ability in the transitional era of the industrial revolution 4.0 to 5.0 because it has a role in supporting problem solving, especially in the field of Education by applying computer thinking. Seeing the role of computational thinking in education, an assessment is needed to assess students' ability to apply computational thinking to solve problems, especially in learning computer science. Therefore, the aim of this study is to present a high-quality bibliometric review of various literature on assessment computational thinking. This type of research is bibliometric analysis using VOSviewer. Literature was collected from the Scopus database of 191 articles published in 2019-2023. The results of this study show that in the network visualization results there are 5 clusters, namely cluster 1 (43 items), cluster 2 (31 items), cluster 3 (27 items), cluster 4 (21 items), and cluster 5 (19 items). Meanwhile, on the results of overlay visualization and density visualization, it can be seen that the computational thinking assessment research shows that when it is associated with the themes of instrument, validity, reliability, and computer science education, not much research has been done so that there are opportunities for renewable research by taking these themes.
Educational Administration: A Bibliometric Study of Global Knowledge Absorption and Innovation Patty, Elyakim Nova Supriyedi; iriyani, Sri astuti; Hadi, Heri Sopian; Ria, Reny Refitaningsih Peby; Setiawi, Agustina Purnami
Indo-MathEdu Intellectuals Journal Vol. 6 No. 8 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i8.4727

Abstract

This research aims to map and analyze global trends in the field of Educational Administration, focusing on knowledge absorption and innovation using bibliometric techniques. The method used involves bibliometric analysis to identify publication patterns, research trends, and relationships between subfields of knowledge. Research data were taken from various global academic literature relevant to educational administration and innovation. In collecting data, the researcher uses a literature system as a reference, namely Publish or Perish. In this application, we can select related articles or journal data from Crossref, Google Scholar, Google Scholar Profile, PubMed, Microsoft Academic, Scopus, and Web of Science. Research results show that innovation and knowledge absorption in educational administration are still concentrated in developed countries, while many institutions in developing countries face challenges in adopting these innovations. Furthermore, it was found that international collaboration and technology integration are key factors for the success of educational innovation. This study provides an important contribution to understanding global trends in educational innovation and offers recommendations to strengthen the adoption of innovations through better international collaboration and technology integration.
PLS-SEM Analysis of Students’ AI Use Examining the Impact of Computational Thinking and Deep Learning Skills Ria, Reny Refitaningsih Peby; Anggeraini, Nining; Yuda, Lalu Setia; Awaliyah, Mia
Upgrade : Jurnal Pendidikan Teknologi Informasi Vol 3 No 2 (2026): FEBRUARI
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/upgrade.v3i2.6159

Abstract

The massive integration of generative artificial intelligence (AI) in higher education, particularly in scientific writing, calls for a deeper examination of the cognitive foundations underlying students’ AI use. Although prior research has predominantly focused on AI adoption and attitudes, limited attention has been devoted to modeling the cognitive skills that meaningfully shape AI engagement. Addressing this gap, the present study develops and empirically tests a structural model of students’ AI use by investigating the roles of Computational Thinking (CT) and Deep Learning Skills (DLS).A quantitative correlational research design was employed, involving 273 undergraduate students from three teacher education programs. Data were collected using a structured self-administered questionnaire and analyzed through Partial Least Squares–Structural Equation Modeling (PLS-SEM) to evaluate both the measurement model (reliability and validity) and the structural relationships among constructs. The results indicate that both CT and DLS significantly predict students’ AI use in academic writing, with DLS demonstrating a stronger structural effect. The proposed model explains a moderate proportion of variance in AI utilization, suggesting that higher-order cognitive and learning competencies function as central determinants of effective and responsible AI engagement. These findings contribute theoretically by positioning AI use not merely as a technological adoption issue but as a cognitively grounded learning process. The study further implies that higher education curricula should systematically integrate CT and DLS development to ensure that AI serves as a cognitive augmentation tool that strengthens academic integrity and learning quality.
Peningkatan Kompetensi Guru STEM Dalam Pembelajaran Informatika Berbasis HOTS dan Computational Thinking Guna Mendukung Implementasi Kurikulum Merdeka di MTsN I Mataram Dyah Susilowati; Reny Refitaningsih Peby Ria; Rini Anggriani; Suci Indah Salsabila; Rifqi Aditia; Fatahul Aziz
Journal of Community Development Vol. 5 No. 3 (2025): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/comdev.v5i3.1290

Abstract

Increasing teacher competence in learning informatics based on Higher Order Thinking Skills (HOTS) and Computational Thinking in the Merdeka Curriculum is an important aspect in facing educational challenges in the digital era. The importance of increasing teacher competence in HOTS and Computational Thinking-based informatics learning lies in the ability to equip students with critical and analytical skills needed in the digital era. In addition, competent teachers can create an innovative learning environment, so that students are better able to face complex challenges in the future and are ready to contribute optimally in society. Therefore, the objectives of this service activity are 1) conducting training for STEM teachers (Informatics, Science, Mathematics subjects) in implementing Informatics learning. (2) Training in compiling HOTS and Computational Thinking based learning assessments, (3) Training in laboratory management.. This activity was attended by 20 teachers, laboratory managers at MTsN 1 Mataram. The results of this activity are proven: (1) STEM teacher competency training in Informatics learning, the average pre-test is 39% and post-test is 96% there is an increase of 58%. (2) HOTS and Computational Thinking assessment preparation training, the average pre-test is 60% and post-test is 94% there is an increase of 34%. (3) Laboratory management training, the average pre-test is 48% and post-test is 89% there is an increase of 41%. Thus, this activity has succeeded in improving teacher skills in utilizing information technology and applying it to the preparation of assessments in learning while improving the overall management capabilities of laboratory management.
Co-Authors Abdul Rahim Abdul Rahim Ananta, Gede Pramudya Dian Syafitri Chani Saputri Dyah Susilowati Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Fachry Abda El Rahman Fatahul Aziz Gede Pramudya Ananta Hadi, Heri Sopian Irhas Khasnur Hidjah Marlina Marlina Marlina Marlina Marlina Mohamad Yudisa Putrajip Nining Anggeraini Priristia, Fahayu Rifqi Aditia Rini Anggriani Rizki Oktavianto Setiawi, Agustina Purnami Sri Astuti Iriyani Suci Indah Salsabila Syafira Mahfuzi Ardiyati Uswatun Hasanah Uswatun Hasanah Yuda, Lalu Setia