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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 449 Documents
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Analysis of the Effectiveness of Using AI-Generated Instructional Videos through Problem-Based Learning Model on Reconstruction of Fundamental Science Concepts Harefa, Edward; Zega, Novelina Andriani
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 Ismail, Agung Deddiliawan; Rosyadi, Alfiani Athma Putri; Ekowati, Dyah Worowirastri; Yayuk, Erna
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.
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.
Enhancing Learning Independence Through Project-Based Learning: A Qualitative Study of Integrated Science Instruction in Indonesian Elementary Schools Yuanita, Pita; Budiono, B.; Husamah, H.; Lambensa, Hawaree
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 Kharomah, Sinta; Susanto, Hendra; Zubaidah, Siti
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.
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.
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.
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.

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