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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 5,869 Documents
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Innovative Digital Pedagogies in Mathematics and Science Learning Zandri, Sry Wahyuni; Arnelis; Suherman; Harisman, Yuliyanti; Yerizon
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11390

Abstract

This study reviews innovative digital pedagogies integrated into mathematics and science classrooms, focusing on tools such as virtual simulations, dynamic geometry software, augmented reality, mobile applications, flipped classrooms, and intelligent tutoring systems. The purpose is to examine their impact on student engagement, conceptual understanding, and pedagogical effectiveness. Findings indicate that these digital tools enhance interactivity and learner autonomy, promote deeper conceptual understanding through visualization and feedback, and increase student motivation and participation. Adaptive technologies that provide personalized feedback show promise in matching the effectiveness of human tutoring. However, technology alone does not guarantee improved learning outcomes; effective integration requires intentional pedagogical design aligning content, pedagogy, and technology. Challenges include infrastructure limitations and educational inequity, particularly in under-resourced regions. Additionally, a shift in the teacher’s role toward facilitator and designer of learning experiences is critical.
Analysis of the Quality of the Physical Environment of the House on the Incidence of Tuberculosis in Tembalang Subdistrict Aditya, Vanessa Rizky; Raharjo, Mursid; Setiani, Onny
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11393

Abstract

Tuberculosis (TB) remains a major health problem in Indonesia, including in Tembalang Sub-district, Semarang City, which is listed as one of the areas with high cases. Indonesia ranks among the top three countries in the world with the highest number of TB cases exceeding one million cases. This research is an observational analytic study with a case-control study design. The purpose of this study was to assess the risk factors of household physical environment that affect the incidence of Tuberculosis in Tembalang Sub-district. The results showed that most of the houses with tuberculosis patients had unhealthy environmental conditions, such as poor air circulation (37.5%), high occupancy density (35%), improper flooring (57.5%), insufficient ventilation (67.5%), low lighting (85%), and high humidity (87.5%). These factors were found to have a significant association with an increased risk of TB. However, ceiling conditions and room temperature did not show a significant association with increased TB risk. These findings emphasize the importance of improving the living environment through education and community involvement in improving housing quality as a preventive measure to reduce TB transmission.
Modeling and Optimization of Increasing Teacher Innovativeness Based on Local Wisdom and Technological Literacy Ponijan; Wulandari, Dian; Hardhienata, Soewarto
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11406

Abstract

Improving teacher innovation is a strategic effort to enhance the quality of education in Indonesia. This study aims to examine the factors influencing teacher innovation through a combination of exploratory and quantitative approaches. Five key variables were identified: organizational climate, spirit of cooperation, work motivation, transformational leadership, and digital technology literacy. A total of 180 foundation permanent teachers (GTY) from 20 private high schools in Bekasi Regency participated by completing questionnaires. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) and the Scientific Identification Theory for Operational Research in Education Management (SITOREM) method. The PLS-SEM results indicate a strong model fit with an R² of 0.767, predictive relevance (Q²) values above 0, Normed Fit Index (NFI) of 0.866, SRMR of 0.061, and better predictive accuracy than linear regression models. SITOREM analysis prioritized strategic improvements in teacher innovation, focusing on enhancing task responsibility, resource support, digital literacy, instructional media development, and scientific output. The findings contribute to targeted strategies for fostering teacher innovation and optimizing educational outcomes.
Neuroscience Analysis in Helping Students with Dyscalculia Understand Mathematics Pajri, Aznil; Yerizon; Asmar, Ali
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11418

Abstract

This study explores the role of neuroscience in addressing dyscalculia and enhancing mathematics education for students with this learning difficulty. The research synthesizes recent findings on the neural mechanisms underlying dyscalculia, focusing on abnormalities in the intraparietal sulcus and prefrontal cortex, which are critical for numerical processing and working memory. Evidence-based strategies, such as multisensory teaching methods and adaptive technologies, were analyzed for their effectiveness in supporting mathematical learning. Advanced neuroimaging techniques like fMRI and EEG were highlighted as tools to monitor real-time brain activity, enabling personalized interventions. The results emphasize the need for tailored approaches that address individual cognitive profiles, as traditional one-size-fits-all methods often fall short. Despite the promise of neuroscience-informed practices, challenges remain in translating these insights into accessible classroom tools due to high costs and limited teacher training. The study concludes that integrating neuroscience into education offers transformative potential but requires scalable solutions and professional development programs for educators. This approach fosters inclusive learning environments that support academic success and emotional well-being for students with dyscalculia.
Content Validity Analysis of a Virtual Reality Based Two-Tier Multiple Choice Assessment Instrument with Ethnochemistry to Early Detect Misconceptions in Reaction Rate Topics Ningtyas, Arin Ika; Yamtinah, Sri; Saputro, Sulistyo; Shidiq, Ari Syahidul; Sudarmin; Rahayu, Sri
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11429

Abstract

This study aimed to develop a detection instrument for reaction rate misconceptions in prospective chemistry teachers. A Two-Tier Multiple Choice (TTMC) test with ethnochemistry content and a virtual reality (VR) storyboard were designed as assessment tools. The research followed the ADDIE model within a research and development framework. Content validity was evaluated by material and media experts through a Focus Group Discussion (FGD), with 10 TTMC questions assessed for content, language, and presentation using the Aiken formula on a 1-4 rating scale. The TTMC instrument demonstrated strong content validity, with Aiken values ranging from 0.81 to 1.00. The VR storyboard also showed content validity, with Aiken values between 0.76 and 1.00, which is above the minimum acceptable limit. These results indicate that the TTMC test and VR storyboard are valid tools for detecting misconceptions in reaction rate material, offering valuable insights for chemistry education, particularly in teacher training programs.
Implementation of Convolutional Neural Network (CNN) Method in Determining the Level of Ripeness of Mango Fruit Based on Image Sari, Mei Wita; Sitorus, Sahat Parulian; Rohani; Pane, Rahmadani
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11436

Abstract

This study aims to classify the ripeness level of mango fruit using a Convolutional Neural Network (CNN) model based on digital images. This classification is important to help the automatic sorting process in the agricultural industry that relies on accuracy in determining fruit quality. Based on the literature review, CNN has been widely used in image-based object recognition because of its ability to extract visual features automatically. Previous studies have shown that CNN is effective in image classification, but the results are highly dependent on the quality of the data and the model parameters used. This research method involves collecting mango fruit images at three levels of ripeness (raw, half-ripe, ripe), which are then processed and analyzed using the Orange application with CNN architecture. Model evaluation was carried out using accuracy metrics, AUC, confusion matrix, and visualization through box plots and scatter plots to see the distribution and differences in data between classes. The results showed that the CNN model obtained an accuracy of 53.3% and an AUC value of 0.717, which indicates the model's initial ability to distinguish ripeness categories but with a fairly high level of misclassification. There is still overlapping data between classes, especially between the raw and half-ripe classes, which indicates the need for additional features and parameter refinement. In conclusion, CNN has the potential to be used in classifying the ripeness level of mango fruit, but its performance can be improved through feature development and deeper model tuning. 
The Effect of The Jigsaw Type Cooperative Learning Model Integrated with The Mind Mapping Technique on The Motivation and Learning Outcomes of Elementary School Students in Grade V Mahdi, Farkhan Nur; Junaedi, Akhmad
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11438

Abstract

This study examined the effect of the Jigsaw cooperative learning model integrated with Mind Mapping techniques on fifth-grade students' motivation and learning outcomes at Kalisegoro Elementary School. Using a quasi-experimental design with non-equivalent control groups, 46 students were divided into experimental (n = 23) and control (n = 23) groups. The experimental group received instruction through the Jigsaw cooperative learning model integrated with Mind Mapping, while the control group was taught using an interactive lecture method. Data were collected through cognitive tests and motivation questionnaires. Results showed significant improvements in both groups' learning outcomes (p < 0.05), with the experimental group demonstrating greater gains (mean increase from 65.57 to 84.17) compared to the control group (55.30 to 71.13). The Mann-Whitney U test confirmed significant differences between groups (p = 0.004) with an effect size of r = 0.42 (medium effect). Similarly, learning motivation increased more substantially in the experimental group (68.09 to 76.70) than the control group (66.04 to 73.87), with a significant difference between groups (p = 0.001) and an effect size of Cohen's d = 0.163 (small effect). The findings suggest that the Jigsaw cooperative learning model with Mind Mapping effectively enhances both motivation and learning outcomes in elementary school science education.
Analysis of Science Literacy and Environmental Awareness of Elementary School Students Through the Use of STEM-Based Solar Sprinkle and Ecoburn Media in Science Learning Sukmawati, Wati; Adlawan, Hendely A.; Andarawan, Najla Delfina
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11470

Abstract

The purpose of this study is to examine the effectiveness of STEM-based learning media, namely Solar Sprinkle and Ecoburn, in enhancing science literacy and environmental awareness among elementary school students. This quantitative study employed a pre-experimental design with a one-group pretest-posttest involving 50 students. Data were collected using standardized instruments measuring science literacy and environmental awareness. The results indicated a significant overall improvement in both variables after the intervention. The findings suggest that interactive, STEM-oriented media can support the development of students' understanding of scientific concepts and foster greater awareness of environmental issues. In conclusion, the integration of Solar Sprinkle and Ecoburn in science learning proved effective in promoting science literacy and environmental responsibility in the primary education context
Implementation of Wizer.me Based E-LKPD for Science Learning on Digital Literacy Activities in Elementary School Anggraini, Ade Eka; Mardhatilah; Khotimah, Khusnul; Siki, Irene Milenia; Zativalen, Oriza; Randy, Mohammad Yusuf; Kang, Enio Mohd Sufian
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11472

Abstract

This study aims to develop and implement an interactive electronic Learner Worksheet (E-LKPD) utilizing the Wizer.me application for science education, specifically targeting digital literacy activities in elementary schools. It also aims to evaluate the effectiveness of this E-LKPD in enhancing the critical thinking skills of sixth-grade students. The research adopts a Research and Development (R&D) approach employing the ADDIE model, encompassing the phases of analysis, design, development, implementation, and evaluation. The study involved 27 sixth-grade students and 2 teachers from a public elementary school located in Malang City. Validation by material experts resulted in a total score of 37 out of 45, translating to 82%, which falls into the very high category. Meanwhile, media expert validation yielded a total score of 55 out of 70, corresponding to 79% in the high category. The trial results, along with student feedback, indicated that the E-LKPD is highly feasible for use and significantly enhances student engagement and comprehension through interactive features such as illustrated quizzes and explanatory videos. An analysis of pretest and post-test data demonstrated a notable improvement in students' critical thinking skills regarding Outer Space Object material, with an average score increase of 22.19%. These findings indicate that the Wizer.me-based E-LKPD serves as an effective interactive learning medium, supporting science education and reinforcing digital literacy in elementary schools.
The Utilization of Artificial Intelligence (AI) in Physics Learning for Physics Education Students Arini, Wahyu; Yolanda, Yaspin; Gumay, Ovilia Putri Utami
Jurnal Penelitian Pendidikan IPA Vol 11 No 5 (2025): May
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i5.11552

Abstract

This study aims to examine the effectiveness of utilizing Artificial Intelligence (AI) in physics learning for students in the Physics Education program. The research employed a quasi-experimental design with a one-group pretest-posttest approach. The sample consisted of 24 students selected through purposive sampling. Data were collected using physics understanding tests administered before (pretest) and after (posttest) the implementation of AI-based learning. Data analysis involved paired sample t-tests to determine significant differences between pretest and posttest scores, as well as N-Gain calculations to measure the improvement in student learning outcomes. The results revealed a significant improvement in students' physics comprehension after applying AI-based learning, with average pretest and posttest scores of 62.08 and 81.25, respectively. The paired t-test yielded a t-value of 17.82 with a p-value < 0.001, indicating a highly significant difference. The average N-Gain score of 0.53 reflects a moderate improvement in learning outcomes. These findings suggest that integrating AI in physics education can enhance both the learning process and student achievement. This study recommends that educational institutions and instructors adopt AI technology in teaching methods to optimize students competency attainment.

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