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Pengaruh Pengalaman Pengenalan Lapangan Persekolahan (PLP) bagi Mahasiswa dan Persepsi Pendidikan Profesi Guru (PPG) terhadap Minat Menjadi Guru Siti Taufiqurrohmah; Wida Wulandari
JURNAL RISET RUMPUN ILMU PENDIDIKAN Vol. 4 No. 3 (2025): Desember : JURRIPEN : Jurnal Riset Rumpun Ilmu Pendidikan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurripen.v4i3.6489

Abstract

Student interest in becoming a teacher remains a major challenge in preparing prospective professional teachers, especially amidst increasingly complex changes and demands in education. This study aims to analyze the influence of the School Field Introduction (PLP) experience and perceptions of the Teacher Professional Education (PPG) program on student interest in becoming a teacher. This study used a quantitative approach with a multiple linear regression method. The population in this study were all students of the Economics Education Study Program at Surabaya State University, intake 2020–2022, with a sample of 150 students selected purposively. Data collection was conducted using a questionnaire instrument distributed online via Google Form. The collected data were analyzed using multiple linear regression tests to examine the partial and simultaneous effects of the independent variables on the dependent variable. The results of the analysis indicate that partially, the PLP experience does not have a significant effect on interest in becoming a teacher. Conversely, student perceptions of the PPG program show a positive and significant effect on interest in becoming a teacher. Simultaneously, the PLP experience and PPG perceptions significantly influence student interest in becoming a teacher. These findings indicate that perceptions of PPG have a more dominant contribution in shaping interest in becoming a teacher than PLP experience. Therefore, it is crucial for educational institutions to improve the understanding and quality of PPG program implementation to encourage students' interest in pursuing a career as teachers. This research provides practical implications for curriculum designers and teacher education program managers to place greater emphasis on students' perceptions and readiness for PPG in order to produce professional and highly motivated teachers.
Dynamics and Direction of Gig Economy Research Development 2015–2025: Bibliometric Analysis and Its Implications for Labor Protection in the Digital Age Naibaho, Novita Dolores; Wulandari, Wida
Journal of Economics and Management Scienties Volume 7 No. 4, September 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v7i4.235

Abstract

The gig economy has become a central element in the transformation of the global labor market, particularly with the rapid growth of digital technology and online platforms. This study aims to map the dynamics and research trends on the gig economy over the last decade (2015–2025) through a bibliometric approach based on 328 selected articles from the Scopus database. The data were obtained through a systematic screening process of peer-reviewed journal articles published in English within the specified period. Bibliometric analysis was carried out using the Bibliometrics R-package, which involved descriptive statistics, co-authorship networks, co-occurrence mapping, and thematic clustering. The results indicate a sharp increase in publications after the COVID-19 pandemic, shifting research from conceptual discussions to critical issues such as labor protection, algorithmic management, and social inequality. The thematic analysis identifies four main clusters: regulation and worker protection, algorithmic management, innovation and digital economic growth, and human values in digital labor. This study highlights research gaps in employment policy, algorithm governance, and digital inclusion, especially in developing countries, and contributes to both theoretical development and policy design in line with Sustainable Development Goals (SDG 8 and SDG 10).
The Effect of Education and Skills on Unemployment: the Moderation Role of Economic Growth Ginanjar, Ardhita Eko; Prakoso, Albrian Fiky; Wulandari, Wida; Dewi, Retno Mustika
EKO-REGIONAL Vol 19 No 2 (2024)
Publisher : Jurusan Ilmu Ekonomi dan Studi Pembangunan Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/1.erjpe.2024.19.2.4524

Abstract

Aspects of community education, namely the average length of schooling (RLS) and Community Vocational Skills (CVS), are important to know community welfare, one of which is seen from the open unemployment rate (TPT). This study aims to analyze: (1) The relationship between RLS and TPT, (2) The effect of CVS on TPT, (3) The role of economic growth (EG) as a moderator between RLS and TPT, and (4) The role of economic growth (EG) as moderation between CVS and TPT, in Sidoarjo, East Java using 2019-2023 data. Using the Structural Equation Modeling (SEM) method, the findings in this study show that people's vocational skills are the main thing that affects TPT levels. However, The study notes that economic growth failed to moderate the relationship between RLS and CVS on TPT. Based on these findings, the government's role is very important in overcoming unemployment problems by improving vocational skills in the form of massive training for prospective workers and collaborating with related industries.
Bridging Education Gap through Educational Innovation for Sustainable Development: A Bibliometric Analysis of the Scopus Database Fatmawati, Novita Sari Dwi; Wulandari, Wida; Irawan, Nico
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 8, No. 1, January 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v8i1.12158

Abstract

This study examines the global research landscape on educational inequality and its contribution to achieving Sustainable Development Goal 4 (Quality Education) through a comprehensive bibliometric analysis. Using data retrieved from the Scopus database, 190 peer-reviewed journal articles and conference proceedings published between 2015 and 2025 were systematically analyzed. The bibliometric procedures included publication trend analysis, citation analysis, co-authorship networks, keyword co-occurrence, and thematic mapping using VOSviewer and Bibliometric software. The results indicate that research on the education gap has shown a stable but intensifying trend, with a significant increase in publications during and after the COVID-19 pandemic, reflecting growing global concern over widening educational disparities. The findings reveal that the education gap is primarily driven by socioeconomic status, digital inequality, family background, regional disparities, and teacher quality. Highly cited studies emphasize that inequalities in learning opportunities emerge from early childhood and are reinforced by unequal access to technology, quality schooling, and supportive learning environments. The analysis also identifies the United States, China, and the United Kingdom as the most influential contributors to this field, with strong international research collaboration patterns. Thematic and conceptual structure analyses demonstrate that educational inequality is closely linked to sustainable development, digital transformation, academic performance, and social inclusion. Importantly, this study highlights the growing relevance of policy-oriented solutions, including student loan systems, digital infrastructure development, and targeted social interventions, as strategic mechanisms to reduce educational inequality and expand access to higher education. Overall, this bibliometric mapping provides a comprehensive overview of the evolution, structure, and key drivers of research on the education gap. The findings offer valuable insights for policymakers, educators, and researchers in designing evidence-based strategies to promote equitable, inclusive, and sustainable education systems in support of SDG 4.
Mapping Adaptive Learning Research and Its Contribution to SDG 4 Rosyidah, Salsabila Dwi; Wulandari, Wida; Pamungkas, Heni Purwa
Economic Education Analysis Journal Vol. 15 No. 1 (2026): Economic Education Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/eeaj.v15i1.34303

Abstract

This study conducts a decade-long bibliometric analysis to critically map the intellectual structure, thematic evolution, and collaboration patterns within adaptive learning research. The study addresses a key gap in prior literature, where existing reviews remain predominantly narrative and fragmented, limiting systematic understanding of how adaptive learning has evolved conceptually and methodologically. Using the Scopus database, 14,009 records were initially identified, of which 141 articles met rigorous inclusion criteria. Bibliometric analysis was performed using Bibliometrix and Biblioshiny, incorporating co-authorship analysis, co-citation mapping, keyword co-occurrence, and thematic evolution techniques to ensure analytical depth and methodological robustness. The findings reveal three dominant knowledge clusters: technology-driven personalization, data-informed learning optimization, and pedagogical integration of adaptive systems. Influential authors, leading journals, and emerging research fronts highlight a shift from system development toward learning effectiveness and equity-oriented implementation. Collaboration networks indicate increasing internationalization but uneven scholarly connectivity across regions. This study contributes by providing a consolidated intellectual map, identifying emerging trajectories, and clarifying theoretical and methodological directions for future research. The findings offer practical implications for designing evidence-based adaptive learning strategies and inform policy and research agendas in data-driven education.