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Pentingnya Pendidikan Bagi Anak, Remaja, Dan Pemuda: Sosialisasi Di Forum Anak Desa Salut Dan Desa Mumbulsari Patty, Elyakim Nova Supriyedi; Ria, Reny Refitaningsih Peby; Hadi, Heri Sopian
Jurnal Pengabdian Pada Masyarakat IPTEKS Vol. 1 No. 1: Jurnal Pengabdian Pada Masyarakat IPTEKS, Desember 2023
Publisher : CV. Global Cendekia Inti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/jppmi.v1i1.63

Abstract

Kegiatan sosialisasi "Pentingnya Pendidikan Bagi Anak, Remaja, Dan Pemuda" dilakukan dengan tujuan meningkatkan pemahaman tentang pentingnya pendidikan di kedua desa. Narasumber dari universitas dan pendamping LSM memberikan wawasan yang mendalam kepada peserta, yang terdiri dari anak-anak, remaja, dan pemuda. Hasil dari kegiatan ini mencerminkan peningkatan kesadaran peserta akan pentingnya pendidikan dalam meningkatkan kualitas hidup, memajukan ekonomi keluarga, menghindari perilaku negatif, dan menciptakan masa depan yang lebih baik. Peserta juga berkomitmen untuk mengutamakan pendidikan daripada kegiatan-kegiatan lain. Kegiatan sosialisasi ini penting dalam meningkatkan pemahaman masyarakat terkait peran pendidikan dalam mengatasi tantangan sosial dan ekonomi. Diharapkan bahwa dengan pemahaman yang lebih baik ini, anak-anak, remaja, dan pemuda di kedua desa akan lebih termotivasi untuk mengejar pendidikan tinggi dan meningkatkan peluang mereka untuk masa depan yang lebih cerah.
Analisis Bibliometrik Kinerja Dosen Penelitian Menggunakan Aplikasi Vosviewer Patty, Elyakim Nova Supriyedi; Sri Astuti Iriyani; Marlina; Reny Refitaningsih Peby Ria; Syafira Mahfuzi Ardiyati
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 3 No. 01 (2023): Artikel Riset Edisi April 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v3i01.2238

Abstract

Studi ini bertujuan untuk menganalisis dan mendemonstrasikan langkah demi langkah analisis sistematis data bibliografi oleh VOSViewer. Oleh karena itu dapat disimpulkan bahwa kinerja dosen dapat dipadukan dengan bidang lain untuk penelitian. Analisis langkah demi langkah disediakan untuk membuat pengguna pertama kali mengakses dan memanfaatkan VOSViewers dengan lebih mudah. Kajian ini menyajikan analisis data terkait kinerja dosen dan perkembangannya selama enambelas tahun (2009–2023) dengan memanfaatkan alat pemetaan di VOSViewer. Untuk mendeskripsikan kinerja analisis bibliometrik dengan menghasilkan visualisasi jaringan dari topik yang dipilih dengan menggunakan metode deskriptif kualitatif. Dari hasil pencarian, ditemukan 994 jurnal terbitan yang relevan, mulai dari tahun 2008–2023, yang kemudian dikelompokkan menjadi 15 kategori sesuai dengan tahun terbitnya. Setelah mengelompokkan data jurnal, penulis menemukan bahwa jumlah artikel yang paling banyak diterbitkan pada tahun 2017-2019. Ada banyak peluang untuk menemukan hal baru dalam topik ini. Selanjutnya, Penelitian ini diharapkan dapat menjadi sumber bahan bagi penulis untuk melakukan penelitian dan mengidentifikasi topik penelitian selanjtunya.
Tren Manajemen Pendidikan: Analisis Bibliometrik Menggunakan Aplikasi Vosviewer Sri Astuti Iriyani; Elyakim N.S Patty; Abdul Rahim; Mia Awaliyah; Reny Refitaningsih Peby Ria
Edu Cendikia: Jurnal Ilmiah Kependidikan Vol. 3 No. 01 (2023): Artikel Riset Edisi April 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/educendikia.v3i01.2281

Abstract

Ruang lingkup manajemen pendidikan hingga saat ini masih menjadi salah satu topik yang penting untuk dikaji, dengan keberagaman kajian yang ada diperlukan data penelitian manajemen pendidikan yang belum banyak dikaji sehingga dapat menjadi referensi dalam menentukan penelitian selanjutnya.Tujuan dari penelitian ini adalah untuk mengeksplorasi tren penelitian manajemen pendidikan selama 10 tahun terakhir. Metode yang digunakan untuk mengeksplorasi tren penelitian adalah kajian literatur melalui analisis bibliometrik. Hasil analisis bibliometrik mengidentifikasi peneitian inti atau penulis, serta hubungannya, dengan mencakup semua publikasi yang terkait atau bidang tertentu. Publikasi terkait manajemen pendidikan dari tahun 2013-2023 diambil dari jurnal internasional yang terindeks Google Scholar. Tren penelitian manajemen pendidikan divisualisasikan menggunakan program Vosviewer. Hasil penelitian menunjukkan bahwa tren penelitian manajemen pendidikan mengalami penurunan selama 10 tahun terakhir, hanya saja mengalami kenaikan pada tahun 2020. Terdapat 20 kluster Klaster 1 (23 item), Kluster 2 (23 item), Kluster 3 (20 item), Kluster 4 (18 item), Kluster 5 (18 item), Kluster 6 (18 item), Kluster 7 (16 item), Kluster 8 (15 item), Kluster 9 (15 item), Kluster 10 (15 item), Kluster 11 (13 item), Kluster 12 (13 item), Kluster 13 (12 item), Kluster 14 (12 item), Kluster 15 (12 item), Kluster 16 (11 item), Kluster 17 (11 item), Kluster 18 (8 item), Kluster 19 (6 item), Kluster 20 (4 item).
Bibliometric Analysis of Artificial Intelligent Studies in Education and Pedagogy Susilowati, Dyah; Saputri, Dian Syafitri Chani; Ria, Reny Refitaningsih Peby; Hidjah, Khasnur
Nusantara: Jurnal Pendidikan Indonesia Vol. 4 No. 3 (2024)
Publisher : Lembaga Sosial Rumah Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/njpi.2024.v4i3-1

Abstract

Purpose – Artificial Intelligent (AI) is a technology that is currently developing rapidly. The application of AI in Education (AIEd) is a study that is starting to be of interest to researchers in the field of AI and Education. The purpose of this research is to summarize studies on AIEd from 2018 to 2023 through bibliometric analysis and analyze current study progress, key points, and trends in AIEd related to pedagogy.Method – This research is a bibliometric analysis method. The data were collected from the Scopus database using R Studio software with search keywords of “Artificial Intelligence, Education, and Pedagogy”. A total of 94 articles were reviewed in this study.Findings – The results of the study show that combining the more frequently researched AI and Pedagogy topics with the less researched AIED topics can produce innovative updates and make important contributions in the field of artificial intelligence and education. Research Implications – The impact of this research can open opportunities for researchers to further explore the combination of AIED, AI, and pedagogy topics so as to enrich and expand the scope of research and encourage progress in related disciplines.
Do Computational Thinking and Self Regulated Learning Affect Computer Programming Problem Solving Skills? : An Experimental Study Susilowati, Dyah; Rahim, Abdul; Ananta, Gede Pramudya; Saputri, Dian Syafitri Chani; Hasanah, Uswatun; Ria, Reny Refitaningsih Peby
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 10 No. 3 (2024): September
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v10i3.12415

Abstract

This study aims to analyze the effect of computational thinking and self regulated learning on computer programming problem-solving skills. The research used a quasi-experiment with a factorial design. Research sampling using a purposive sampling technique. The sampling of this study used a purposive sampling technique, namely students of Bumigora University, Indonesia. The data collected were in the form of tests with data analysis techniques using inferential statistics. The results showed the fulfillment of the prerequisite tests of normality and homogeneity with each Sig value obtained > 0,05. The paired sample t-test test in the control and experimental groups obtained each Sig value < 0.05, so it can be concluded that there is a significant difference in student learning outcomes in each control group and experimental group. The independent sample t-test test obtained a Sig value < 0.05, so it can be concluded that there is a significant difference between the computational thinking method and the conventional learning method. The independent sample t-test test obtained a Sig value < 0.05, so it can be concluded that there is a significant difference between high and low self-regulated learning. Factorial ANOVA test obtained Sig value <0.05, so it can be concluded that the interaction between learning methods and self-regulated learning makes a significant difference in the ability to solve computer programming problems. The implications of applying computational thinking methods and developing self-regulated learning skills significantly improved problem-solving skills in computer programming, thus supporting the need to integrate this approach into curricula and teaching strategies.
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.
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.
PLS-SEM Analysis of Students’ AI Use Examining the Impact of Computational Thinking and Deep Learning Skills Reny Refitaningsih Peby Ria; Nining Anggeraini; Lalu Setia Yuda; Mia Awaliyah
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.