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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.
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Articles 13 Documents
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Search results for , issue "Vol. 10 No. 1 (2026): March" : 13 Documents clear
Vocational Teachers’ Insights on Artificial Intelligence and Computational Thinking Integration Majid, Nuur Wachid Abdul; Barri, Muhamad Akda Fathul; Sari, Ayu Permata; Sodikin, Reisa Aulia; Azman, Mohamed Nor Azhari; Prestoza, Mark Jhon Ramos
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.v10i1.3660

Abstract

This qualitative case study investigates vocational teachers' perceptions of artificial intelligence and computational thinking integration in Indonesian secondary education. Seven vocational high school teachers from West Java Province participated through semi-structured interviews, non-participant observations, and document analysis following artificial intelligence training. The study employed an interactive analysis model to examine teachers' attitudes, concerns, and implementation strategies regarding artificial intelligence in educational contexts. Findings reveal positive teacher perceptions of artificial intelligence as a learning support tool, with applications ranging from creative media production to technical programming assistance. However, significant ethical and pedagogical concerns emerged, including academic integrity challenges, potential student dependency, inadequate prompt engineering skills, and risks of learning dehumanization. Teachers developed sophisticated guidance strategies, positioning artificial intelligence as a verification tool while maintaining human agency in learning processes. Supporting factors included personal initiative and professional learning communities, while barriers encompassed limited infrastructure, absence of formal guidelines, and varied digital competencies. The research contributes to understanding artificial intelligence adoption challenges in Indonesian vocational education and provides insights for implementing artificial intelligence skills curriculum policy. Results of the research are: (1) educators acknowledge significant advantages of AI integration, especially in improving technical learning experiences and promoting innovative educational endeavors, the integration of AI and computational thinking in the learning process must also prioritize the appropriate pattern aspects and requires clear guidance from stakeholders so that it can be implemented in the learning process; (2)  ethical and pedagogical issues arise as significant obstacles, encompassing abuses of academic integrity, threats of student dependency, insufficient prompt engineering skills, and the potential dehumanization of learning experiences; (3) educators demonstrate significant adaptability by formulating advanced guiding systems that utilize AI as a verification and support mechanism while maintaining human agency in educational decision-making.
Inquiry-based Physics Learning Integrated with Mobile Apps, Multiple Intelligences, and Local Wisdom: A Bibliometric Analysis of Research Trends and Scientific Literacy Implications Alhusni, Hanan Zaki; Prahani, Binar Kurnia; Sunarti, Titin; Madlazim, Madlazim; Kurtulus, Muhammed Akif
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.v10i1.3967

Abstract

This bibliometric study maps and evaluates the publication landscape on inquiry-based physics learning that intersects with mobile applications, multiple intelligences (MI), and local wisdom, with attention to implications for scientific literacy. Scopus records were retrieved using a TITLE-ABS-KEY search and processed following PRISMA 2020 and PRISMA-S. The screening window was restricted to 2020–2025, English-language, final-status documents, and journal articles or conference papers/proceedings. From 138,162 initially identified records, 362 remained after year and subject filtering; 305 met eligibility criteria, and 99 unique documents were included after DOI/title deduplication (full flow and exclusion reasons are reported in the PRISMA diagram and accompanying table). Performance analysis (annual output, sources, authors, countries, and subject areas) and science mapping (co-authorship, keyword co-occurrence, co-citation, and bibliographic coupling) were conducted using Bibliometrix/Biblioshiny and visualized in VOSviewer with association-strength normalization and full versus fractional counting sensitivity checks. Results show a publication peak in 2020, a decline across 2021–2023, and a rebound in 2024. Conference proceedings dominate the corpus (≈91%), with Journal of Physics: Conference Series contributing nearly two-thirds of documents. Indonesia is the leading contributor by affiliation and country; Physics and Astronomy accounts for ≈48–49% of subject assignments, followed by Engineering (≈14%) and Computer Science (≈12%). Keyword networks center on “students” and “education computing,” while MI and scientific literacy occur infrequently and local wisdom appears peripheral, indicating an early-stage, technology-driven field. Limitation: the Physics subject-area filter likely underrepresents education-journal studies where MI and literacy are more explicitly operationalized. Future work should prioritize journal-level designs, validated scientific-literacy measures, and transparent term normalization and counting schemes.
Paternal Educational Strategies for Children’s Social Behavior in Female Migrant-Worker Families: A Qualitative Study Across Socioeconomic Groups Faidin, Nahrul; Astuti, Tri Marhaeni Pudji; Prajanti, Sucihatiningsih Dian Wisika; Hardati, Puji
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.v10i1.2915

Abstract

Children’s social behavior in female migrant-worker families is shaped by how fathers reorganize caregiving, supervision, and everyday educational practices after maternal migration. However, previous research has more often emphasized the general consequences of parental migration than the class-sensitive pattern of paternal strategies used to guide children’s social behavior. This study, therefore, examined paternal educational strategies for children’s social behavior in female migrant-worker families across socioeconomic groups. The study used a qualitative descriptive design with purposive sampling and involved six fathers in Langgudu Sub-district, Bima Regency, Indonesia. Data were collected through semi-structured interviews, observation, and documentation, and were analyzed using thematic analysis. The findings show three interconnected strategies: role modeling, disciplinary education, and educational advice. In upper-socioeconomic families, fathers showed visible moral-religious role modeling and more structured daily discipline, but advice was often delivered in a harsh tone. In middle-socioeconomic families, fathers showed weaker direct role modeling and less structured discipline, while advice tended to be given gradually through verbal guidance. In lower-socioeconomic families, fathers showed strong work- and community-based role modeling, but discipline and advice were more reactive because work demands reduced supervision and routine consistency. These findings indicate that father involvement in migrant-worker families should be understood not only in terms of presence, but also in terms of the form, tone, and consistency of paternal educational practices. The study implies that schools, communities, and migrant-family support programs should strengthen constructive father engagement, routine-based caregiving, and nonviolent communication in left-behind families.
Short-Term Changes in Weight-Related Anthropometric Indicators After Locally Based Supplementary Feeding Among Stunted Children Karjono, M.; Murtiananingsih, Murtiananingsih; Zaidah, Una; Rakhmawati, Baiq Fathin Ayu; Mulianingsih, Misroh; Fajriani, Shindy; Gonçalves, Marilia Juvi
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.v10i1.4005

Abstract

This study examined short-term anthropometric changes associated with locally based supplementary feeding among stunted children aged 6–59 months at Meninting Health Center, West Lombok. The feeding package consisted of mung bean porridge (100 g), egg biscuits (50 g), and sweet potato bars (50 g), providing approximately 350–450 kcal and 12–16 g protein per child per day. Using a one-group pretest-posttest design, 50 stunted children underwent anthropometric assessment at baseline, week 4, and week 8, with weekly monitoring of body weight and body height. Primary outcomes were weight, height, weight-for-age z-score (WAZ), height-for-age z-score (HAZ), and weight-for-height z-score (WHZ). Adherence was high, with 90.0% of participants consuming at least 80% of the planned feeding days. Body weight increased significantly at week 4 (mean difference = 0.15 kg, 95% CI [0.10, 0.20], p < .001) and week 8 (mean difference = 0.48 kg, 95% CI [0.39, 0.56], p < .001). WHZ improved significantly at week 4 (mean difference = 0.08, 95% CI [0.01, 0.15], p = .022) and week 8 (mean difference = 0.29, 95% CI [0.18, 0.40], p < .001), whereas WAZ improved significantly only at week 8 (mean difference = 0.23, 95% CI [0.16, 0.31], p < .001). HAZ did not show a statistically significant change during follow-up. These findings suggest that locally based supplementary feeding was associated with short-term improvement in weight-related anthropometric outcomes, while improvement in linear growth was limited during the observation period. The high adherence observed in this study also supports the feasibility of delivering locally based supplementary feeding through routine community health services.
Determinants of Student Research Quality in Madrasah Aliyah: Student Characteristics, School Environment, and Learning Process Iqbal, Muhammad; Irfan, Ahmad Zainul; Muzakkir, Muzakkir; Anam, Khaerul
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.v10i1.4224

Abstract

Student research programs in Madrasah Aliyah (MA) have been developed to strengthen scientific literacy and higher-order thinking skills, yet the quality of student research outputs remains uneven. This study examined the effects of student characteristics, school environment, and learning process on perceived student research quality, while also testing the mediating role of learning process. A quantitative associative-predictive design was employed involving 67 students from MAN IC Lombok Timur who had conducted research. Data were collected through a five-point Likert questionnaire and analyzed using PLS-SEM. The results showed that student characteristics had the strongest positive effect on perceived research quality (β = 0.611; p < 0.001), followed by school environment (β = 0.310; p = 0.018). School environment also significantly predicted learning process (β = 0.673; p < 0.001), whereas learning process did not significantly affect perceived research quality (β = −0.001; p = 0.994) and did not mediate the effects of the two predictors. These findings indicate that students’ academic self-efficacy, intrinsic motivation, self-regulation, and supportive school climate are associated with higher perceived research quality. At the same time, the non-significant role of learning process suggests that general classroom practices may not adequately capture the research-specific mentoring needed to support student research. The findings should be interpreted in light of the study’s self-reported and cross-sectional design.
Quantifying Post-Eruption Vegetation Recovery on Mount Semeru Using UAV Time-Series Imagery Romadoni, Ludwick Satria; Husamah, H.; Rahardjanto, Abdulkadir; Permana, Tutut Indria; Shukri, Ahmad Adnan Mohd
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.v10i1.4533

Abstract

The December 2021 eruption of Mount Semeru caused massive ecological damage, initiating primary succession across landscapes buried by volcanic material. While satellite monitoring provides macro-scale trends, the micro-scale spatiotemporal dynamics and specific topographic drivers of early recovery remain poorly understood. This study quantifies the rate of vegetation recovery and statistically evaluates its micro-topographic constraints. We conducted a time-series analysis using ultra-high-resolution (2.7 cm/pixel) Unmanned Aerial Vehicle (UAV) RGB imagery acquired in 2022, 2023, and 2025 across a 127.08-hectare Area of Interest within Volcanic Hazard Zone III. Vegetation cover was extracted using the Excess Green (ExG) index with dynamic Otsu thresholding, validated by rigorous accuracy assessments (Overall Accuracy: 89%–95%). A 3-bit spatial coding logic tracked pixel-level successional trajectories, while topographic controls were evaluated using a non-parametric Mann-Whitney U test based on spatial random sampling. The results revealed a net vegetation recovery rate of +1.88 hectares/year, forming concentrated succession islands. Crucially, statistical analysis confirmed that micro-topographic slope acts as the primary abiotic control (p < 0.001); pioneer vegetation preferentially colonized steeper slopes (mean 43.20°) that offer structural refuge from active lahar flows, whereas flatter depositional beds (mean 23.64°) remained largely barren. Conversely, elevation (~798 masl) showed no significant correlation (p = 0.68), indicating that secondary fluvial disturbances override broad altitudinal gradients within this active corridor. This study demonstrates a validated, reproducible UAV framework for high-precision ecological monitoring, providing fundamental insights for targeted post-eruption restoration strategies.
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.

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