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Jurnal Penelitian Pendidikan IPA (JPPIPA)
Published by Universitas Mataram
ISSN : 24602582     EISSN : 2407795X     DOI : -
Core Subject : Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics
Science Educational Research Journal is international open access, published by Science Master Program of Science Education Graduate Program University of Mataram, contains scientific articles both in the form of research results and literature review that includes science, technology and teaching in the field of science. The Science Educational Research Journal is published twice in a year in January and July editions. The editors receive writing in Indonesian or English, either from the university or from outside the university.
Arjuna Subject : -
Articles 6,421 Documents
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Correcting Middle School Students' Misunderstandings Using the CLIS Model on Temperature, Heat, and Expansion Material Andini Febriani; Khairil Arif; Fakhri Syafitra
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14334

Abstract

Students' misconceptions in science learning, particularly on temperature, heat, and expansion, are still frequently found in junior high school and have the potential to influence the development of an accurate understanding of scientific concepts. This situation indicates the need for the implementation of a learning model oriented towards conceptual change. Therefore, this study aims to analyze the effectiveness of the Children's Learning in Science (CLIS) model in remediating misconceptions among seventh-grade students at the UNP Laboratory Development School. This study was a pre-experimental study with a one-group pretest-posttest design involving 25 students. Data were collected through a diagnostic test to identify misconceptions, observation sheets on the implementation of the learning model, and student response questionnaires. Data were analyzed using the Decrease of Quantitative Misconception (DQM) index and the McNemar test using SPSS. The results showed that the average percentage of student misconceptions decreased from 23% in the pretest to 10% in the posttest, while the percentage of students who understood the concepts increased from 14% to 54%. The CLIS model was implemented well, with an average learning model implementation score of 73%. The DQM analysis showed the effectiveness of remediation in the moderate category, with an average score of 59%. The McNemar test obtained an Asymp.Sig. value of 0.000 with a significance level of α = 0.05, indicating a significant difference between student conceptions before and after the learning process. Furthermore, the questionnaire results showed that 71% of students responded well. Thus, the CLIS model was effective in producing significant changes in conceptions and received positive responses, thus having implications for improving the quality of science learning.
The Influence of Game-Based Learning on Learning Motivation and Critical Thinking Skills in Elementary Science and Social Studies (IPAS) Supiyah; Fauzan Adhim; Hariyanto
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14392

Abstract

This study aims to analyze the effect of Game-Based Learning (GBL) integrated with pop-up media on students’ learning motivation and critical thinking skills in elementary IPAS learning. This study employed a quantitative approach using a pre-experimental design with a One-Group Pretest–Posttest model. The participants consisted of 19 fifth-grade students selected using a saturated sampling technique. Data were collected using a learning motivation questionnaire and a critical thinking skills test, both of which were validated and tested for reliability. Data analysis was conducted using descriptive statistics, the paired sample t-test, and effect size analysis.The results showed that there was a significant increase in both learning motivation and critical thinking skills after the implementation of Game-Based Learning. The paired sample t-test revealed a significance value of p < 0.001, indicating a statistically significant difference between pretest and posttest scores. Furthermore, the effect size analysis indicated a very high category, demonstrating that the intervention had a strong practical impact. These findings suggest that Game-Based Learning creates an engaging and interactive learning environment that promotes active participation and supports higher-order thinking processes. In conclusion, Game-Based Learning integrated with pop-up media is an effective instructional strategy for improving both learning motivation and critical thinking skills in elementary education. This approach contributes to the development of cognitive and affective competencies aligned with the demands of 21st-century learning.
Development of Interactive Learning E-Modules in Geography Subjects in High School Lilis Suryani; Alwen Bentri; Zelhendri Zen; Mutiara Felicita Amsal; Rayendra; Leni Zahara
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14430

Abstract

This research aims to develop an interactive learning e-module in the Geography class XI phase F of high school and test the level of validity, practicality, and effectiveness of the developed product. This research uses a Research and Development (R&D) approach with the ADDIE development model which includes the stages of analysis, design, development, implementation, and evaluation. The research subjects involved media experts, material experts, linguists, Geography teachers, and grade XI students of SMA Negeri 1 Padang Gelugur. Data collection techniques use observation, interviews, questionnaires, and learning outcome tests. The data was analyzed descriptively, qualitatively, and quantitatively. The results of the study showed that the interactive learning e-module developed had a validity rate of 89.33% with a very feasible category. The practicality test showed a very practical category, with a percentage of 92% of teachers and 89.6% of students. The effectiveness test through the N-Gain calculation obtained a value of 0.58 (58%) which is in the effective category, showing an increase in student learning outcomes after using the e-module. Thus, the interactive learning e-module developed is declared valid, practical, and effective and suitable for use as a Geography learning medium in high school, especially in Natural Resources Management and its influence on life.
Development and Content Validation of a HOTS-Oriented Performance Assessment for Physics Practicum in Higher Education to Support SDG 4 Emiliannur; Fuja Novitra; Rahma Doni; Metta Liana; Nanang Winarno; Lukman Hakim
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14471

Abstract

Higher education is expected to equip students with Higher Order Thinking Skills (HOTS); however, assessment practices in physics laboratory learning still often emphasize procedural performance. This study aims to analyze assessment needs and to develop and conduct content validation of a HOTS-oriented performance assessment for physics laboratory learning in higher education to support Sustainable Development Goal 4 (Quality Education). This study employed a research and development (R&D) approach using the ADDIE model, limited to the Analyze, Design, and Develop stages. The participants were 49 undergraduate physics students selected using purposive sampling and laboratory assistants involved in practicum activities. Data were collected through essay tests, practicum module analysis, interviews, and observations, and analyzed using descriptive quantitative and qualitative methods. Content validity was evaluated through expert judgment using Aiken’s V index. The results showed that existing assessments had not optimally measured HOTS, particularly evaluating (C5) and creating (C6). Therefore, a HOTS-oriented performance assessment integrating C4, C5, and C6 was developed, consisting of performance tasks, scoring rubrics, observation sheets, and self- and peer-assessment instruments. The content validation results indicated high validity with an Aiken’s V value of 0.89. These findings provide a validated conceptual foundation for further implementation and evaluation to support SDG 4 in higher education.
Evaluasi Kecerdasan Buatan dalam Menyelesaikan Soal Fisika: Analisis Komprehensif Soal Esai dan Pilihan Ganda pada Rangkaian Listrik Aji Saputra; Muliadi; Hutri Handayani Isra
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14494

Abstract

This study aims to examine the performance of artificial intelligence, specifically ChatGPT, in solving physics problems on electrical circuits by comparing essay and multiple-choice formats. The study employed a research and development approach combined with descriptive qualitative analysis to develop and validate equivalent test items with identical content and cognitive demands. The validated items were administered to ChatGPT, and its responses were analyzed based on accuracy and problem-solving processes. The results show that ChatGPT achieved higher accuracy in multiple-choice questions (100%) compared to essay questions (60%). Errors in essay responses were primarily conceptual and occurred in image-based and structurally complex circuit problems, particularly during the initial interpretation stage. These findings indicate that question format significantly influences AI performance, with multiple-choice questions promoting more structured reasoning while potentially overestimating AI capability. In conclusion, combining essay and multiple-choice formats provides a more comprehensive evaluation of AI problem-solving performance in physics education.
Optimasi Optimasi Distribusi Air Irigasi untuk Memaksimalkan Keuntungan Pertanian Menggunakan Program Dinamis Deterministik di Daerah Irigasi Ameroro, Kabupaten Konawe Yongki Adi Saputra; Lily Montarcih Limantara; Anggara Wiyono Wit Saputra
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14513

Abstract

Limited irrigation water availability constrains irrigation management and reduces agricultural profitability. This study aims to maximize agricultural profit by optimizing irrigation water distribution using a deterministic dynamic programming model in the Ameroro Irrigation Area, Konawe Regency, Indonesia. The model was structured with planting seasons as stages, irrigation water availability as the state variable, and water allocation as the decision variable. The objective function maximized total profit based on cultivated land area under a rice–rice–secondary crops cropping pattern across a total irrigated area of 2,100 ha. Model constraints included dependable discharge, seasonal water availability, crop water requirements, and land area limitations. In the existing condition, agricultural profit reached IDR 37.4 billion in planting season I, IDR 37.4 billion in planting season II, and IDR 8.6 billion in planting season III, totaling IDR 83.4 billion annually. After optimization, profits increased to IDR 42.03 billion, IDR 44.07 billion, and IDR 12.90 billion, respectively, resulting in a total annual profit of IDR 99.00 billion. The results indicate that deterministic dynamic programming improves water allocation efficiency and increases agricultural profit without additional water resources, supporting sustainable irrigation management.
Sabun Cair Cuci Tangan Berbasis Ekoenzim Inovatif dari Limbah Buah dan Sayur Menggunakan Gula Pasir dan Gula Aren: Solusi Antibakteri Berkelanjutan Melawan Bakteri Gram-Positif dan Gram-Negatif Pendukung SDGs dan Inisiatif Kesehatan Nasional Umarudin Umarudin; Ninik Mas Ulfa; Silvi Ayu Wulansari; Ramadhan Renaisansa; Selvyronica Eka Agustine; Aisyah Hadi Ramadani
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14595

Abstract

Indonesia's abundant fruit/vegetable waste threatens the environment yet fuels sustainable hygiene innovation. The waste will be fermented anaerobically with sugar and palm sugar. The study will also assess the soap's efficacy against Staphylococcus aureus (Gram-positive) and Escherichia coli (Gram-negative). To achieve this, we produced an eco-enzyme by anaerobic fermentation. We then incorporated 5–10% of this enzyme directly into a pre-heated soap base. A hybrid hot-cold process was used: first, hot mixing ensured homogeneity; next, cold stabilisation was applied. pH testing and agar well diffusion assays followed. Results: Dose-response assays yielded significant (p < 0.05) increases in inhibition zone size; palm sugar at 10% excelled (35.3 mm E. coli, 23.6 mm S. aureus), surpassing commercial products. ANOVA followed by Tukey's post hoc (α = 0.05) showed that sugar variants (23.9 mm E. coli, 22.3 mm S. aureus) outperformed controls. pH: F0 8.83, F1 5.26, F3 4.79. Discussion: Remarkably, the exceptionally broad 35.3 mm E. coli zone reveals a groundbreaking novelty: unprecedented Gram-negative hyper susceptibility contrary to LPS resistance norms uniquely triggered by eco-enzyme organic acids synergising with palm sugar gallotannins to breach outer membranes. These zero-waste breakthroughs advance SDGs 3 and 12 by pioneering bio-circular antimicrobials.
Effectiveness of Stalevo Drug Usage in Parkinson's Patients: A Narrative Review M Andri Prasetyo; Fauna Herawati
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14651

Abstract

Parkinson's Disease (PD) is a neurodegenerative disorder that affects patients' quality of life, with primary motor symptoms such as tremor, muscle rigidity, and bradykinesia. Levodopa is the mainstay of PD therapy, but approximately 80% of patients experience motor complications, such as motor fluctuations and "wearing-off" after several years of therapy. This study evaluates the efficacy, safety, and rational use of Stalevo (levodopa, carbidopa, and entacapone) in managing motor complications and "wearing-off" phenomena in patients with Parkinson's Disease (PD). This research was conducted as a narrative review to provide a recent evidence-based synthesis of the efficacy and safety of Stalevo. Methods included a search of articles in PubMed, ScienceDirect, and Google Scholar published between 2015 and 2025 using the keywords "Stalevo" and "Parkinson's disease." The study revealed that Stalevo was effective in prolonging the duration of levodopa's effect, reducing the required levodopa dose, and improving patients' quality of life, particularly in patients with motor fluctuations. Although side effects such as dyskinesia and diarrhea may occur, Stalevo's overall safety profile is well-received. Stalevo is a cost-effective, evidence-based intervention for intermediate-to-advanced PD. Rational use requires precise patient selection and monitoring for dopaminergic side effects, such as dyskinesia and diarrhea, to optimize quality of life and ensure patient safety.
Implementation System for Cluster Analysis and Data Sentiment Using the K-Means Method to Determine the Most Discussed Topics Wanra Tarigan; Djoni; Thamrin; Lismardiana
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14838

Abstract

The Community Activities Restrictions Enforcement (CARE) government rule, that is currently a matter of public concern, was implemented in 2021. Community Activities Restrictions Enforcement (CARE) highlights the community's pros and cons. Twitter and YouTube are social media that facilitate direct user expression. The material offered on social media platforms Twitter and YouTube is likewise quite diversified. Therefore, an automatic approach for topic detection is required, such as Mini Batch K-means Clustering, which facilitates user access to information. This study employs the Mini Batch method, which utilizes just a limited set of data for the clustering procedure. Based on testing with the Sum of Squared Error, this study's clustering results for tweet data including the phrase Community Activities Restrictions Enforcement (CARE) produced 12 cluster groups. The clustering results will be represented using Word Cloud, and the system will display the percentage of words based on Word Cloud.
Deep Learning Applications in STEM Education: A Systematic Review of Pedagogical Innovations in Numeracy and Science Learning Mira Sudiarti; Yulyanti Harisman
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14846

Abstract

This research examines the application of Deep Learning (DL) technologies in mathematics and science education, focusing on technological approaches, pedagogical integration, and educational impacts. Following PRISMA 2020 guidelines, 225 studies published between January 2020 and February 2026 were analyzed from Scopus, Web of Science, PubMed, and SINTA databases. Results indicate that Convolutional Neural Networks (34.2%) and Recurrent Neural Networks/Long Short-Term Memory models (28.9%) dominate STEM applications, primarily implemented through Intelligent Tutoring Systems and adaptive learning platforms. Pedagogically, DL tools align predominantly with adaptive learning (38.7%) and inquiry-based approaches (34.2%). Evidence suggests positive impacts on learning outcomes (82.7% of studies reported significant improvements) and Higher-Order Thinking Skills, particularly critical thinking and problem-solving. However, implementation challenges persist, including technical infrastructure limitations (41.3%), data privacy concerns (36.9%), and insufficient teacher readiness (29.8%). This review concludes that while Deep Learning offers transformative potential for personalized STEM education, successful integration requires addressing ethical considerations, developing explainable AI systems, and enhancing educator preparation. Future research should prioritize longitudinal studies and equitable access to ensure DL technologies genuinely enhance rather than hinder mathematics and science learning experiences.

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