Garuda - Garba Rujukan Digital

A Predıctıve Model of Learnıng Independence: Integratıon of Socıal Platform and Self-Regulatıon in College Students Vera Septi Andrini; Erdyna Dwi Etika; Umi Hidayati
Proceeding International Conference on Digital Education and Social Science Vol. 2 No. 1 (2024): Proceeding International Conference on Digital Education and Social Science 202
Publisher : Asosiasi Pengelola Publikasi Ilmiah (APPI) PT PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55506/icdess.v2i1.58

In modern research in education, learning independence plays a very important role, especially in the digital era where flexibility implies alignment of endurance. Although most universities in Indonesia use online learning, the consequences of this in the form of academic independence are still unknown. This study intended to model learning independence built with online learning and self-regulation in University of PGRI Mpu Sindok students. The study was conducted among 120 students divided into high and low groups using a quasi-experimental design with group randomization. The multiple linear regression analysis result was the model Y = 0.4923 + 0.6745X1 + 0.2289X2, where Y signifies learning independence, X1 signifies the Intuitiveness of using social learning platforms, and X2 signifies self-regulation. Overall, the model provided significant results p < 0.0001 and explained 50.27% of students' learning independence variation. There is an absence in the impact of using X2 self-regulation simultaneously as using X1 self-regulation. This empiricism concentrates on creating experimental strategies that use self-regulation with technological and educational tools in order to increase students' academic independence-validated in line with the digital era.

MENINGKATKAN SEMANGAT KEWIRAUSAHAAN MAHASISWA MELALUI MODEL PEMBELAJARAN INOVATIF DI PENDIDIKAN EKONOMI Hariyono Hariyono; Suharto; Umi Hidayati
Dharma Pendidikan Vol 20 No 1 (2025): Dharma Pendidikan
Publisher : STKIP PGRI Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69866/dp.v20i1.566

Penelitian ini mengkaji efektivitas model Project-Based Learning (PjBL) dan Problem-Based Learning (PBL) dalam meningkatkan semangat kewirausahaan mahasiswa Program Studi Pendidikan Ekonomi. Dengan desain kuasi-eksperimental, penelitian melibatkan dua kelompok: kelompok eksperimen yang mendapatkan pembelajaran inovatif, dan kelompok kontrol yang mengikuti pembelajaran konvensional. Instrumen berupa kuesioner kewirausahaan mencakup lima dimensi: kreativitas, keberanian mengambil risiko, inisiatif, ketekunan, dan orientasi sosial. Hasil menunjukkan peningkatan skor lebih tinggi pada kelompok eksperimen (dari 65,47 menjadi 82,93) dibanding kelompok kontrol (dari 64,85 menjadi 70,44). Uji-t independen menunjukkan perbedaan signifikan (t(58) = 7,894; p < 0,001). Temuan menunjukkan bahwa pendekatan pembelajaran inovatif memperkuat karakter kewirausahaan mahasiswa, khususnya pada aspek kreativitas dan orientasi sosial. Penelitian ini merekomendasikan integrasi pembelajaran berbasis nilai dan kontekstual dalam pendidikan ekonomi guna membentuk lulusan yang tidak hanya unggul secara akademis, tetapi juga memiliki semangat kewirausahaan yang humanistik dan berorientasi pada keberlanjutan.

THE The Influence of Using The Randall’s ESL Cyber Listening Lab To The Student Listening Skill Dhini Arum Fatikhoh; Puput Zuli Ekorini; Umi Hidayati
Dharma Pendidikan Vol 21 No 1 (2026): Dharma Pendidikan
Publisher : STKIP PGRI Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar

Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan Randall’s ESL Cyber Listening Lab terhadap keterampilan menyimak siswa kelas X-4 SMAN 1 Loceret pada tahun ajaran 2024/2025. Metode penelitian yang digunakan adalah metode kuantitatif dengan desain pre-experimental, yang melibatkan satu kelompok tanpa kelompok kontrol. Instrumen penelitian berupa tes menyimak yang diberikan sebelum (pre-test) dan sesudah (post-test) perlakuan. Hasil uji-t menghasilkan nilai Sig. (2-tailed) 0.000 < 0.5, yang berarti terdapat perbedaan yang signifikan antara hasil pre-test dan post-test siswa. Hasil analisis data menunjukkan bahwa terdapat pengaruh yang signifikan pada kemampuan menyimak siswa setelah menggunakan Randall’s ESL Cyber Listening Lab dibandingkan dengan sebelum menggunakan Randall’s ESL Cyber Listening Lab. Dengan demikian, dapat disimpulkan bahwa penggunaan media pembelajaran digital seperti Randall’s Lab dapat meningkatkan keterampilan menyimak siswa dalam pembelajaran bahasa Inggris. Disarankan agar guru bahasa Inggris memanfaatkan media digital untuk meningkatkan kualitas pembelajaran, khususnya dalam keterampilan menyimak.

Implementation of Artificial Intelligence–Integrated Project-Based Learning to Enhance Digital Entrepreneurship Literacy and Student Engagement in Economics Education Hariyono; Umi Hidayati; Suharto
Indonesian Journal of Educational Science (IJES) Vol 8 No 1 (2026): Indonesian Journal of Educational Science (IJES) : In Progress
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/ijes.v8i1.6047

The rapid advancement of digital technology and artificial intelligence (AI) has significantly influenced higher education practices, demanding innovative pedagogical models that foster students’ digital competence, creativity, and engagement. This study aimed to analyze the effectiveness of an artificial intelligence (AI)-integrated project-based learning (PjBL) model in improving digital entrepreneurship literacy (DEL) and learning engagement (LE) among students in economics education. This study employed a two-cycle classroom action research design involving 28 third-semester students enrolled in the Microeconomics course at Universitas Nusantara PGRI Kediri. Data were collected using six instruments: the Digital Entrepreneurship Literacy Scale, the Learning Engagement Scale, the project rubric, the observation sheet, the digital activity log, and reflective interviews. Quantitative analyses included paired-samples t-tests, N-gain, and Pearson correlations, while qualitative data were analyzed thematically. The results showed a significant improvement in both DEL and LE following implementation of the AI-integrated PjBL model. The mean DEL score increased from 76.04 to 102.96 (n-gain = 0.623; p < 0.001), and the mean LE score increased from 60.75 to 79.75 (n-gain = 0.661; p < 0.001). Observations and digital activity logs revealed higher behavioral and cognitive engagement during the learning process. Qualitative findings indicated that students utilized AI tools such as ChatGPT, Google Sheets AI, Gemini, and Canva AI for market research, price elasticity simulations, and digital content design in creative and ethical ways. The study concludes that integrating AI into the PjBL framework effectively enhances students’ digital entrepreneurship literacy, fosters reflective engagement, and supports the development of adaptive, ethical, and innovative learners in economic education.

The effect of AI-Optimized project-based learning on digital pedagogical readiness Hariyono Hariyono; Umi Hidayati; Suharto Suharto
Indonesian Journal of Educational Development (IJED) Vol. 7 No. 1 (2026): May 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas PGRI Mahadewa Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59672/ijed.v7i1.6145

The integration of artificial intelligence (AI) in higher education has increased the demand for students' digital pedagogical readiness, particularly in economics education. This study examines the effect of AI-Optimized Project-Based Learning (AI-PjBL) on Digital Pedagogical Readiness (DPR) among undergraduate students. A quantitative approach was employed, involving 102 undergraduate students from the Economics Education and Management programs at Universitas Nusantara PGRI Kediri, using a purposive sampling technique. Data were collected using validated instruments and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The measurement model demonstrated strong reliability and validity, with factor loadings ranging from 0.77 to 0.90, Composite reliability values above 0.96, and Average Variance Extracted exceeding 0.67. Structural model analysis revealed that AI-PjBL had a strong and significant effect on DPR, indicated by a path coefficient of β = 0.79. The coefficient of determination (R² = 0.63) indicates that 63% of the variance in digital pedagogical readiness is explained by AI-PjBL, while the effect size (f² = 1.52) indicates a very large effect. These findings indicate that AI-PjBL effectively enhances students' technological readiness, pedagogical design ability, and reflective digital competence. The study highlights AI-PjBL as a promising instructional approach for strengthening digital pedagogy in economics education.

How Does the Future Economics Teacher Against Digital Economics? The Perspective of Economics Behaviour and Role of Social Support Hanif Ramadhan Fahmi Putra; Muhammad Ari Kusuma; Faizal Ansyori; Indra Febrianto; Umi Hidayati
Dinamika Pendidikan Vol. 19 No. 2 (2024)
Publisher : Economics Education Department Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/dp.v19i2.17520

The study aims to find a structural fit model related to students’ readiness to face the digital economy in the perspective of irrational behavioral economic theory. The study uses quantitative Explanatory research with a population of undergraduate students of Economics Education at the East Java PGRI College and uses a proportional random sampling with total of 351 students. Data were collected by questionnaires using linkert scale and were analysed by SEM-PLS data analysis . The findings show that digital economic skills don’t significantly mediate the relationship between herd behavior, loss aversion, and student readiness. However, the digital economy succeeded in mediating the influence of confirmation bias on student readiness because of helped reduce the impact of confirmation bias on student readiness by offering access to diverse information and developing critical thinking skills. This study contributes are become theoretical literature on the functional relationship between irrational behavior, digital economic skills, social support and student readiness studied in the context of behavioral economics. It can be a reference for developing educational models in digital era learning and reference for further researchers to develop appropriate policy recommendations by involving several related stakeholders.

Impact of Experiential Learning and Entrepreneurial Orientation on Student Start-up Business Performance with Social Network Moderation Suharto Suharto; Vera Septi Andrini; Umi Hidayati; Erdyna Dwi Etika
Dinamika Pendidikan Vol. 20 No. 1 (2025)
Publisher : Economics Education Department Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/dp.v20i1.23847

Entrepreneurship has become a key driver of economic growth and innovation. Universities play an important role in developing students' entrepreneurial competencies, but the factors influencing the success of students' start-up businesses must be better understood. This study aims to investigate the influence of experiential learning and entrepreneurial orientation on college students' start-up business performance and examine the moderating role of social networks. Using a quantitative research design, data were collected from a sample of 150 entrepreneurial students at an Indonesian university through a questionnaire. The data was analyzed using the Structural Equation Modeling (SEM) technique with SmartPLS. Results showed that experiential learning (β = 0.352, p < 0.001) and entrepreneurial orientation (β = 0.417, p < 0.001) positively and significantly influenced students' start-up business performance. The social network was found to moderate the relationship between entrepreneurial orientation and business performance (β = 0.183, p < 0.05). This study concludes that combining experiential learning, entrepreneurial mindset development, and social capital fostering is essential to nurturing successful young entrepreneurs. The findings provide valuable insights for universities in designing effective entrepreneurship education programs.

Implementation of Artificial Intelligence–Integrated Project-Based Learning to Enhance Digital Entrepreneurship Literacy and Student Engagement in Economics Education hariyono hariyono; Umi Hidayati; Suharto
Indonesian Journal of Educational Science (IJES) Vol. 8 No. 1 (2026): Indonesian Journal of Educational Science (IJES)
Publisher : Universitas Sulawesi Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/ijes.v8i1.6047

The rapid advancement of digital technology and artificial intelligence (AI) has significantly influenced higher education practices, demanding innovative pedagogical models that foster students’ digital competence, creativity, and engagement. This study aimed to analyze the effectiveness of an artificial intelligence (AI)-integrated project-based learning (PjBL) model in improving digital entrepreneurship literacy (DEL) and learning engagement (LE) among students in economics education. This study employed a two-cycle classroom action research design involving 28 third-semester students enrolled in the Microeconomics course at Universitas Nusantara PGRI Kediri. Data were collected using six instruments: the Digital Entrepreneurship Literacy Scale, the Learning Engagement Scale, the project rubric, the observation sheet, the digital activity log, and reflective interviews. Quantitative analyses included paired-samples t-tests, N-gain, and Pearson correlations, while qualitative data were analyzed thematically. The results showed a significant improvement in both DEL and LE following implementation of the AI-integrated PjBL model. The mean DEL score increased from 76.04 to 102.96 (n-gain = 0.623; p < 0.001), and the mean LE score increased from 60.75 to 79.75 (n-gain = 0.661; p < 0.001). Observations and digital activity logs revealed higher behavioral and cognitive engagement during the learning process. Qualitative findings indicated that students utilized AI tools such as ChatGPT, Google Sheets AI, Gemini, and Canva AI for market research, price elasticity simulations, and digital content design in creative and ethical ways. The study concludes that integrating AI into the PjBL framework effectively enhances students’ digital entrepreneurship literacy, fosters reflective engagement, and supports the development of adaptive, ethical, and innovative learners in economic education.

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