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Pengembangan Buku Lesson Study khusus Pendidikan Biologi Berbasis Pendekatan Saintifik Siburian, Jodion; Sadikin, Ali; Yusuf, Muhammad; Sembiring, Dian Arisandy Eka Putra
Jurnal Penelitian Pendidikan IPA Vol 9 No 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.3734

Abstract

Prospective biology teachers need to be well prepared, not only in terms of biology content but also their teaching skills, including lesson study. This study aims to developing a biology lesson study book based on scientific approach. The research method used is research and development by adopting the ADDIE model. The research instrument used was a questionnaire to measure the responses of experts, teachers and students to the quality of the book. This research also pays attention to qualitative (suggestions and comments) and quantitative data. The results showed that the book was considered feasible by experts. Teacher and student responses also showed a positive impact on the use of the book. The test results also showed an increase in learning outcomes. So, the book can be used in classroom learning.
AN EX POST FACTO STUDY: STUDENT™ LEARNING STYLES IN BIOLOGY EDUCATION AT UNIVERSITAS JAMBI Mursyd, Danial; Sembiring, Dian Arisandy Eka Putra; Yusuf, Muhammad; Rangkuty, Sailana Mira
Jurnal Pelita Pendidikan Vol. 11 No. 3 (2023): Jurnal Pelita Pendidikan
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpp.v11i3.54760

Abstract

This study used an ex-post facto research methodology with a descriptive approach to assess the learning habits of biology education students at Universitas Jambi in regards to 'Work Method' and 'Delay Avoidance'. The study demonstrated similar levels of proficiency (satisfactory), with 'Work Method' scoring a 75.00% and 'Delay Avoidance' slightly reaching a score of 75.70%. These data indicated that there is a dependable yet enhanceable basis in learning habits. The study highlights the need of employing educational practices that promote organized learning and efficient time management, with the goal of enhancing students' learning habits and academic progress.
Validating A Technology Acceptance Model of Generative AI in Undergraduate Music Education Tomi, Masvil; Utama, Galuh Tulus; Ramadhanti, Sri; Dekti, Gen; Sembiring, Dian Arisandy Eka Putra; Hendra, Robi; Yusuf, Muhammad
Educational Leadership and Management Journal Vol. 3 No. 1 (2025): Element - 2025
Publisher : FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/element.v3i1.51436

Abstract

Generative artificial intelligence (AI) tools such as ChatGPT are rapidly entering higher education, yet their acceptance in highly embodied and practice‑oriented domains like music education remains underexplored. This study examines relationships among perceived usefulness (PU), perceived ease of use (PEOU), attitude toward use (ATT), behavioral intention (BI), and actual use (AU). A cross‑sectional survey of 218 music education students was conducted, supported by focus group discussions (FGDs) and classroom observations. A 28‑item TAM‑based instrument was adapted to Generative AI in music learning and underwent expert review, pilot testing, and full validation. Measurement results indicated satisfactory reliability and validity (Cronbach’s α = 0.80–0.89; composite reliability = 0.84–0.91; average variance extracted = 0.56–0.66; HTMT < 0.85), with good model fit (χ²/df = 2.11, CFI = 0.953, TLI = 0.943, RMSEA = 0.072, SRMR = 0.049). Descriptive results suggested generally positive acceptance (means on a 1–5 scale: PU = 4.07, PEOU = 3.94, ATT = 4.02, BI = 3.88, AU = 3.41). Students predominantly used AI to summarize theory, brainstorm composition ideas, generate practice drills, and simplify technical terms, while performative and practical uses remained limited. The findings corroborate TAM’s applicability to Generative AI in music education and resonate with evidence from language learning and teacher education contexts. We propose institutional strategies to support responsible adoption: concise usage guidance, assessment‑integrated AI literacy, and transparent ethical policies addressing originality and authorship. The study offers a domain‑specific, validated instrument and empirically grounded recommendations for integrating Generative AI as a cognitive and creative adjunct—rather than a replacement—for embodied musical learning.
Understanding Biology Pre-service Teachers’ Acceptance of PjBL e-logbook: An Application of the UTAUT Model at Universitas Jambi Siburian, Jodion; Sanjaya, M. Erick; Tentia, Ine; Mataniari, Raissa; Sembiring, Dian Arisandy Eka Putra
Educational Leadership and Management Journal Vol. 3 No. 1 (2025): Element - 2025
Publisher : FKIP Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/element.v3i1.51477

Abstract

This study investigates factors influencing students’ acceptance and use of a Project-Based Learning (PjBL) e‑logbook in biology education at Universitas Jambi, using the Unified Theory of Acceptance and Use of Technology (UTAUT). The PjBL e‑logbook was implemented in core courses of the Biology Education Study Program to support structured documentation, monitoring, and reflection on project work. An explanatory survey design was employed with 133 undergraduate students in biology education who had used the e‑logbook for at least 4 weeks. Data were collected using a UTAUT-based questionnaire covering performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), behavioral intention (BI), and the PjBL e-logbook use behavior (UB). Partial least squares structural equation modeling (PLS‑SEM) was used to assess the measurement and structural models. The results show that PE (β = 0.38, p < .001), EE (β = 0.21, p = .018), and SI (β = 0.16, p = .049) significantly predict BI, whereas FC has a positive but non-significant effect on BI (β = 0.11, p = .148). Together, these UTAUT constructs explain 52% of the variance in BI. BI strongly predicts the PjBL e‑logbook use behavior (β = 0.56, p < .001), and FC also has a modest direct effect on UB (β = 0.19, p = .028), with the model explaining 39% of the variance in UB. The findings highlight the central role of perceived usefulness, ease of use, and social influences in promoting intention, and confirm the importance of both intention and facilitating conditions for actual e‑logbook use. Practical implications for designing and scaling PjBL e‑logbooks in teacher education at Universitas Jambi and similar institutions are discussed.
Pembelajaran Berdiferensiasi Biologi; Tinjauan Persepsi Guru Yusuf, Muhammad; Sembiring, Dian Arisandy Eka Putra; Sadikin, Ali; Mursyd, Danial; Hendra, Robi
Diklabio: Jurnal Pendidikan dan Pembelajaran Biologi Vol 8 No 2 (2024)
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/diklabio.8.2.180-186

Abstract

Memfasilitasi peserta didik agar dapat belajar secara maksimal tentu menjadi fokus penting pendidik, sehingga pembelajaran berdiferensiasi memiliki urgensi tersendiri. Penelitian ini bertujuan untuk mengetahui persepsi guru biologi terhadap pembelajaran berdiferensiasi. Kuantitatif deskriptif digunakan sebagai metode penelitian dengan random sampling. Data diperoleh melalui survey melalui kuesioner yang diberikan kepada guru biologi di Provinsi Jambi. Hasil analisis data menunjukan bahwa persepsi guru biologi terhadap pembelajaran berdiferensiasi berada pada kategori baik. Hal ini mengindikasikan nilai yang positif, namun perlu optimalisasi guna memastikan bahwa peserta dapat belajar sesuai dengan kebutuhannya, khususnya pada mata pelajaran biologi. Dukungan dari setiap pihak terkait diperlukan untuk penerapan pembelajaran biologi berdiferensiasi di kelas.
A Review of Emotional Intelligence and Multicultural Competence in Indonesian University Students: Learning Style and Social Support as Major Predictors of Academic Achievement Hendra , Robi; Denmar, Denny; Wijaya, Hansein Arif; Tomi, Masvil; Yusuf, Muhammad; Sembiring, Dian Arisandy Eka Putra; Putri, Dea Amelia Dwi
Indonesian Educational Administration and Leadership Journal (IDEAL) Vol. 7 No. 2 (2025): Indonesian Educational Administration and Leadership Journal
Publisher : Program Studi Adminsitrasi Pendidikan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ideal.v7i2.50077

Abstract

This study examines how emotional intelligence (EI), multicultural competency (MC), learning style (LS), and social support (SS) affect university students' academic performance. In Jambi, Indonesia, 242 undergraduate students from three universities completed a five-point Likert-scale questionnaire. PLS-SEM with SmartPLS 3.0 tested the proposed relationships. Research indicates that learning style (β = 1.725, p < 0.001) and social support (β = 0.952, p < 0.001) significantly impact academic achievement, explaining 76.4% of its variance (R² = 0.764). Despite expectations, emotional intelligence (β = 0.072, p = 0.137) and multicultural competence (β = -0.030, p = 0.466) did not directly impact academic accomplishment. While multicultural competency negatively impacts learning style (β = -0.987, p < 0.001), social support is the biggest predictor of both learning style and academic accomplishment. Learning style and social support drive academic performance in the examined environment, while emotional intelligence and multicultural competency have minimal direct roles. The report recommends that colleges prioritize programs that help students identify and improve their learning styles and strengthen institutional and peer support systems above emotional intelligence and multicultural training. This study enhances our understanding of non-cognitive factors of academic success in multicultural Indonesian higher education. Keywords: PS-SEM, university students, Indonesia, academic performance, emotional intelligence, multicultural competency, learning style, social support
Modeling Actual Use Of Technology and Student Engagement in Biology Project‑Based Learning Using Artificial Neural Networks Sembiring, Dian Arisandy Eka Putra; Yusuf, Muhammad; Mardiyanti, Lely; Fauzan, Muhammad; Hendra, Robi
Indonesian Educational Administration and Leadership Journal (IDEAL) Vol. 7 No. 2 (2025): Indonesian Educational Administration and Leadership Journal
Publisher : Program Studi Adminsitrasi Pendidikan Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ideal.v7i2.51335

Abstract

In higher education, especially science and biology, digital technology in project-based learning (PjBL) environments has improved student engagement and learning outcomes. technological, AI, and lecturer assistance have been studied in PjBL, but few have used Artificial Neural Networks (ANN) to analyze the complicated interactions between technological acceptance variables and student engagement. ANN is used to predict students' attitudes toward technology (ATT), intention to use technology (INT), actual use of technology in PjBL (AU-PjBL), and student engagement (SE) based on PEOU, PU, and Lecturer Support. Biology education students at Universitas Jambi completed a 35-item Likert-scale questionnaire. We created four ANN models: Model A (PU, PEOU → ATT), Model B (PU, ATT → INT), Model C (INT, LS → AU-PjBL), and Model D (AU-PjBL, LS → Each model was trained and tested using ten network configurations. Model performance was assessed using Root Mean Square Error (RMSE), and input variable relevance was determined via sensitivity analysis. All ANN models have low RMSE values for training and testing datasets, indicating good predicting accuracy. According to sensitivity analysis, PU predicts ATT better than PEOU, ATT predicts INT better than PU, INT predicts AU-PjBL better than LS, and AU-PjBL predicts SE better than LS. These data emphasize that students' perceived utility, positive attitudes, intention, and technology use drive biology PjBL involvement. The paper highlights ANN as a powerful analytical tool for modeling non-linear and interdependent relationships in technology-enhanced PjBL and gives practical implications for developing meaningful technology use and engagement learning environments. Keywords: Artifical neural network; actual use of technology; lecturer support; project-based learning; biology education.
DESAIN ORGANISASI PEMBELAJARAN, KEPUASAN, DAN KINERJA MELALUI KESEJAHTERAAN, INOVASI, DAN KOMITMEN GURU ASN DAN NON-ASN: STUDI PADA SEKOLAH MENENGAH DI KOTA JAMBI (PENDEKATAN STRUCTURAL EQUATION MODELING) Wijaya, Hansein Arif; Hendra, Robi; Fauzan, Muhammad; Sembiring, Dian Arisandy Eka Putra
Jurnal Manajemen Pendidikan Vol. 11 No. 1 (2026): Regular Issue (In Progress)
Publisher : STKIP Pesisir Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34125/jmp.v11i1.1684

Abstract

This study examines the impact of organizational learning design on teacher performance and job satisfaction in secondary schools, focusing on well-being, innovation, and commitment as mediating factors. Using a quantitative survey method, data were collected from 367 S1-certified teachers in Jambi City, Indonesia. The survey included 54 items adapted from established scales related to organizational learning, teacher satisfaction, commitment, innovation, performance, and well-being. Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that organizational learning design significantly influences teacher commitment and well-being, both of which positively affect job satisfaction and performance. However, the effect of innovation on performance was non-significant, suggesting a need for more targeted strategies to integrate innovation into teaching practices. These results emphasize the importance of a supportive organizational learning environment to enhance teacher engagement and effectiveness. Recommendations are offered for educational policymakers to bolster teacher well-being and commitment through organizational learning initiatives.