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Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika
Published by Lembaga Penelitian dan Pemberdayaan Masyarakat
ISSN : -     EISSN : 26156881     DOI : -
Core Subject : Science, Education,
Education Mathematics Physics Other
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika was published by Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM) which contains articles that are based on the results of conceptual research and studies in the field of education such as (1) Assessment and Evaluation; (2) Higher Order Thinking; (3) Learning Resources; (4) Models of Teaching; (5) Teacher Professional Development; (6) Learning and Cognitive Style; (7) Sport Science and Education; (8) Character Building; (9) Art and Educational Linguistics; and (10) Education Research of Biology, Physics, Chemistry, and Mathematics.
Arjuna Subject : -
Articles 348 Documents
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Strategies for Addressing Teaching Challenges Among Engineering Lecturers in a South African TVET College
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.2620

Abstract

This study explored strategies that can be used to address the teaching challenges faced by engineering lecturers in a selected Technical and Vocational Education and Training (TVET) college in Limpopo Province, South Africa. A qualitative research design was adopted, using semi-structured interviews and classroom observations to examine lecturers’ experiences and practices. Purposive sampling was used to select ten (n=10) lecturers who taught in the Report 191 NATED engineering programme. Data were collected through recorded interviews and observation field notes, and were analysed thematically through familiarisation with the data, coding, theme generation, theme review, and theme definition. The Pedagogical Content Knowledge (PCK) framework was used to interpret the teaching challenges experienced by engineering lecturers and the strategies used to address them. The findings identified key strategies linked to improved teaching practice, including practical lessons, online teaching, lesson preparation, communication among colleagues, and continuing professional development. The study found that the use of these strategies was uneven across participants, with important gaps in lesson preparation and the use of teaching resources. The findings suggest that TVET colleges and the Department of Higher Education and Training (DHET) should strengthen institutional support, lecturer development, and teaching infrastructure to improve teaching effectiveness in engineering education. A limitation of the study is that the Campus Management Team was not included, and future research should incorporate broader institutional perspectives.
Pseudo-Second-Order Kinetics of Ultrasound-Assisted Antioxidant Extraction from Mangosteen Peel Using a NaDES–VCO–Ethanol Solvent
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3401

Abstract

Mangosteen peel is a rich source of xanthones and polyphenols with high antioxidant potential, but their efficient recovery requires extraction systems that are both effective and environmentally sustainable. In this study, ultrasound-assisted extraction (UAE) was combined with a hybrid green solvent consisting of natural deep eutectic solvents (NaDES), virgin coconut oil, and ethanol (VCO:EtOH = 1:1). A full 3 × 3 × 3 factorial design (27 runs) was used to evaluate the effects of NaDES concentration (30–50%), temperature (30–50 °C), and ultrasound amplitude (60–100%) on extraction yield and antioxidant activity measured by DPPH inhibition. Extraction kinetics were fitted using a nonlinear pseudo-second-order (PSO) model. The highest 60-min extraction yield was obtained at 50% NaDES, 50 °C, and 100% amplitude, reaching 26.2 ± 0.4% (n = 3), with DPPH inhibition of 94.4 ± 0.8% (n = 3). Under the same condition, the PSO model estimated an equilibrium yield (qₑ) of 26.78%, with an RMSE of 0.067. Across all treatments, RMSE values ranged from 0.011 to 0.688, and extraction yield generally approached a plateau within 45–60 min. Yield was strongly and positively correlated with antioxidant activity (r = 0.876; 95% CI: 0.79–0.93; p < 0.01). These findings show that integrating UAE, a NaDES-based hybrid solvent, and PSO kinetic modeling can improve extraction efficiency and antioxidant performance while providing a reproducible framework for mangosteen peel valorization in nutraceutical and functional-food applications.
Linking Entrepreneurial Competence, Motivation, and Teacher Performance in Indonesian Vocational Education: A Structural Equation Modeling Analysis
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3590

Abstract

This study examined the influence of principals' entrepreneurial competencies on teachers' motivation and performance in vocational high schools (SMKs) in Bulukumba Regency, using Covariance-Based Structural Equation Modeling (CB-SEM; AMOS v24). The structural model incorporated five dimensions of entrepreneurial competency (innovation, creativity, commitment, risk-taking, and team building), with teacher motivation as the mediating variable and teacher performance as the outcome. A sample of 200 teachers was drawn proportionally from 10 schools. Instrument validation confirmed high convergent validity and internal consistency (CRs 0.779–0.884; AVEs≥ 0.70). Model fit was evaluated using a contextual cross-index calibration approach, resulting in good fit indices (CFI = 0.989; RMSEA = 0.027; χ²(206) = 236.373, p = 0.072). Structurally, team-building (β = 0.404, p < 0.001), creativity (β = 0.165, p = 0.009), and commitment (β = 0.106, p = 0.042) showed significant direct effects on teacher performance, alongside teacher motivation (β = 0.291, p = 0.003). Motivation significantly mediated the impact of creativity on performance (t = 2.164). Collectively, this model explained 70.6% of the variance in motivation and 90.2% of the variance in performance. The novelty of this study lies in modeling the five dimensions of entrepreneurial leadership simultaneously, unlike previous research, which treated entrepreneurship as a unidimensional construct within a district-wide mediation framework. In practice, these findings suggest that leadership development programs should prioritize creativity, commitment, and team-building to enhance teacher motivation and performance in vocational education settings.
Analysis of the Effectiveness of Using AI-Generated Instructional Videos through Problem-Based Learning Model on Reconstruction of Fundamental Science Concepts
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3602

Abstract

The use of artificial intelligence (AI) has grown in elementary schools, but insufficient is known about the practical consequences of this technology, particularly as it pertains to the acquisition of scientific knowledge. Given that pre-service elementary teachers necessitate the cultivation of skills in intricate scientific ideas within problem-based learning (PBL) settings, there is an increasing demand for creative, technology-enhanced instructional resources. This study examines the influence of AI-generated instructional videos, created in accordance with recognized instructional design principles, on task performance, self-efficacy, and learning outcomes in pre-service elementary teachers. The present study utilized a within-subjects design with 186 participants, incorporating pretest, post-test, and transfer evaluations to measure the transferability and durability of learning. Substantial improvements were found from pre- to post-training, including a significant gain in self-efficacy (t(185)=7.12, p<0.001, d=1.04) and learning performance (e.g., immediate post-test t(185)=8.45, p<0.001). However, ANCOVA results indicated no significant advantage of the preview feature, such as in the delayed post-test (F(1,184)=0.65, p=.42) and transfer test (F(1,184)=0.18, p=.67). The results indicate that educational videos produced by artificial intelligence can substantially enhance knowledge transfer, retention, and self-efficacy, qualifying them as valuable resources for elementary teacher education in the field of elementary education.
How a Computational Thinker Solves a Non-Routine Geometry Task: A Single-Case Study
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3604

Abstract

Problem-solving has become a core element of the mathematics curriculum, where students are encouraged to solve non-routine and higher-order thinking problems (HOTS). However, based on empirical observations in classrooms reveal that many students still struggle to solve problems. Many students often struggle to determine where to begin, especially when faced with non-routine or HOTS tasks of geometry problems.  This study investigates how a student with strong computational thinking (CT) skills approaches and solves such problems. This study employs a descriptive qualitative design. The subject was selected using purposive sampling, in which one participant was chosen from a total of 48 respondents based on specific criteria, namely providing correct answers and demonstrating the four components of CT. The findings reveal that the subject utilized four main stages: decomposition, pattern recognition, abstraction, and algorithmic design. In the decomposition phase, the student broke down the square into smaller triangles to simplify the problem. In the pattern recognition stage, the student identified recurring geometric configurations, such as right triangles. During abstraction, irrelevant information was discarded to focus on key components. Finally, the student applied a sequential algorithm involving triangle similarity and the Pythagorean theorem to determine the side length of the square. These findings highlight the potential of computational thinking in enhancing problem-solving performance in geometry. The implications of these findings indicate that CT skills can be applied in instructional design, particularly in problem-solving activities. Students can be guided in engaging in CT processes by using simple questions aligned with each CT component.
Enhancing Learning Independence Through Project-Based Learning: A Qualitative Study of Integrated Science Instruction in Indonesian Elementary Schools
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3689

Abstract

This descriptive study explored how Project-Based Learning (PjBL) was associated with indicators of learning independence among fifth-grade students in Integrated Science (IPAS) at Muhammadiyah 4 Batu Elementary School, Indonesia. Existing elementary PjBL research rarely examines behavioral indicators of learning independence or triangulates teacher, student, and observational data in IPAS contexts, creating a gap that this study seeks to address. A qualitative descriptive approach was employed, involving 87 students (three Grade 5 classes) and three teachers. Data were collected through interviews, questionnaires, classroom observations, and document analysis, then analyzed using the Miles and Huberman interactive model, complemented with descriptive proportions from 3-point Likert scales. High scores were defined as ratings ≥3 (“always/consistent”) on a three-level rubric; thresholds were established through expert validation. The percentages reported in this study represent the proportion of students categorized as “High” according to these validated thresholds. Inter-rater agreement for observations reached κ = 0.86, indicating substantial consistency. Findings reveal that PjBL was associated with higher observed levels of responsibility, confidence, initiative, and discipline through hands-on projects, collaborative discussions, and reflective presentations. Quantitative descriptive data showed that 83.9% of students demonstrated high responsibility, 87.4% high confidence, and 86.2% high discipline. Teacher interviews confirmed that PjBL enhances student engagement, though time management remains a challenge. The study concludes that PjBL-based instruction corresponded with behavioral indicators of learning independence and 21st-century competencies. However, as a single-site, descriptive investigation, no causal inferences can be drawn. Future research should apply validated independence scales and multi-site designs.
Assessing Laboratory Behavior in Genetic Practicals: A Study on Pre-Service Biology Teachers
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 1 (2026): March
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i1.3736

Abstract

Laboratory behavior refers to attitudes and actions in the laboratory, including planning and design, manipulative skills, conducting experiments, observation and data recording, data interpretation, and responsibility, initiative, and work habits. Laboratory behavior plays an essential role in the development of experimental skills, especially in Genetics courses. This study aims to describe the laboratory behavior of biology education students (N=99) who have taken the Genetics course. The study uses a quantitative descriptive approach using self-assessment questionnaires, peer assessments, observation sheets, and practical report rubrics. The scores from the four assessment sources were averaged equally, with each source contributing the same weight to the final score. The results show that student laboratory behavior falls into the "Needs Improvement" category, with an average achievement percentage of 62.50%. The average achievement percentages for each indicator are as follows: planning and design, 62.57%; experiment implementation, 62.35%; observation and data recording, 59.22%; data interpretation, 59.31%; and responsibility, initiative, and work habits, 64.71%. These results indicate that students' laboratory behavior needs improvement and should be enhanced through effective practical learning, supported by learning models and media that are appropriate to the needs and real situations in the laboratory.
Zero-Shot Sentiment Analysis on Student Feedback: A Comparative Study of Multilingual and Translate-Test Approaches in Indonesian Higher Education Bachtiar, Adam; Rizal, Ahmad Ashril; Addhiny, Tuning Ridha
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 9 No. 3 (2025): November
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v9i3.4002

Abstract

The evaluation of academic services in Indonesian higher education is often hindered by the scarcity of labeled datasets (cold start problem) and the complexity of culturally implicit feedback. This study evaluates the efficacy of Zero-Shot Classification by benchmarking two distinct inference paradigms: the Direct Multilingual approach (XLM-RoBERTa-large-xnli) and the Translate-Test approach (Facebook/BART-large-mnli). Using a dataset of 280 student reviews validated by human annotators ( =0.844), the research reveals a significant performance trade-off. While XLM-RoBERTa greater robustness in maintaining global performance equilibrium (Macro F1-Score: 0.67), it exhibits a pronounced ‘Politeness Bias’, frequently failing to detect negative reviews masked by courteous language (Recall: 0.48). Conversely, the Translate-Test approach (BART) shows higher sensitivity in capturing negative sentiments (Recall: 0.77). Qualitative analysis suggests that the translation process potentially functions as a dual-mechanism: acting as a cultural decontextualization filter that isolates implicit criticism and a denoising layer that normalizes informal slang and typographical errors. However, this enhanced sensitivity results in an approximate 2.6x increase in computational latency and weaker neutral class detection. These findings indicate that while XLM-RoBERTa offers balanced generalization for broad analysis, the Translate-Test strategy is highly effective for accurately uncovering latent student grievances obscured by local linguistic styles.

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