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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.
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Articles 82 Documents
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Search results for , issue "Vol 12 No 4 (2026): In Progress" : 82 Documents clear
Fostering Quality Education Through Learning Models: Evidence from Problem-Based and Cooperative Learning with Interpersonal Intelligence on Students’ Learning Outcomes Sampurna, Iman; Muhyidin, Asep; Nulhakim, Lukman
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14699

Abstract

This study examines differences in student learning outcomes based on learning models (Problem-Based Learning and Cooperative Learning) and students’ levels of interpersonal intelligence. This study employed a quasi-experimental design using a 2 × 3 factorial framework. This research was conducted in the 2nd semester of the elementary school teacher education study program, the Basic Concepts of Basic Science/Social Studies course at Setiabudi Rangkasbitung University in Banten Province. A total of 100 students participated in the study, with each group including fifty students. The sampling method used, cluster random sampling. The interpersonal intelligence instrument uses a questionnaire with a Likert scale of 1-5 and the learning outcomes of the instrument are multiple choice pre- and post-test questions. This study yielded three main findings. There was a significant difference in learning outcomes between students taught using different learning models (PBL vs Cooperative), as indicated by an F-value of 10.739 and a significance level of p < 0.001. There were also significant differences in learning outcomes among students with high, medium, and low levels of interpersonal intelligence, as shown by an F-value of 23.419 and a significance level of p < 0.001. In addition, there was a significant interaction effect between the learning model and students’ levels of interpersonal intelligence on learning outcomes, as evidenced by an F-value of 8.357 and a significance level of p< 0.006. This study implies that the choice of learning model plays a crucial role in improving learning outcomes, as problem-based learning and cooperative learning contribute in different ways.
Development of an Interactive E-Module Using a PBL Approach to Static Electricity Materials to Improve Students' Critical Thinking Skills Maryani, Sitti; Palloan, Pariabti; Khaeruddin
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14705

Abstract

This research is a type of research and development (R&D) using the 4D model: define, design, develop, and disseminate. The goal of this research and development is to find out the content validity, practitioners’ responses, and the effectiveness of using an interactive e-module with a Problem-Based Learning (PBL) approach in physics learning to improve students’ critical thinking skills. The content validity of the e-module was evaluated by experts and tested using Aiken’s V. Its practicality was evaluated by 10 physics teachers from South Sulawesi. The e-module was tested on 19 students in class XII B at MAN Kabupaten Kepulauan Selayar. The instruments used in this study included a validation sheet for the e-module, a validation sheet for the practitioners’ response questionnaire, and a critical thinking test validation sheet. Each instrument was validated by experts. The practitioners’ questionnaire and the critical thinking test were also used in the study. The results showed that the PBL-based interactive e-module in physics learning was valid according to the experts, highly practical according to the practitioners’ responses, and effective in improving students’ critical thinking skills, with an N-gain percentage of 57,71%. Based on the results, the developed e-module is considered valid, practical, and effective in improving students’ critical thinking skills.
Evaluation of White Weathered Mushrooms for Reduction of Lignin and Improvement of Animal Feed Digestion from Coconut Coir Waste Sabariyah, Siti; Jufri, Muhammad; Sayani, Sayani; Lasamadi, Rahman Dani
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14748

Abstract

Limited forage availability due to land conversion has become a major constraint in goat farming development. Therefore, the utilization of agricultural waste as alternative feed is increasingly important, including young coconut husk waste which is abundant but underutilized. However, its high lignocellulosic content, particularly lignin, limits digestibility and nutritional value for ruminants. This study aimed to evaluate the ability of several white-rot fungi to reduce lignin content and improve the cellulose characteristics of young coconut husk waste as a potential alternative feed ingredient. The research was conducted in two stages: fungal selection and optimization of fermentation conditions. The first stage used five fungal treatments, namely Trichoderma sp. TR3, Pleurotus sajor-caju, Pleurotus ostreatus, Trametes versicolor, and Lentinus edodes. Parameters observed included lignin and cellulose contents after 20 days of incubation. The second stage evaluated the effect of incubation period (20, 30, and 40 days) and inoculum volume (0.5, 0.7, and 1.0 mL) using Pleurotus sajor-caju as the selected fungus. The results showed that Pleurotus sajor-caju produced the lowest lignin content (17.93%) and the highest cellulose content (48.80%) compared with other fungi. In the optimization stage, the lowest lignin content was observed in treatment A3B1 (40 days incubation and 0.5 mL inoculum) at 15.47%, while the highest cellulose content was obtained in treatment A2B1 (30 days incubation and 0.5 mL inoculum) at 61.15%. These findings indicate that Pleurotus sajor-caju has strong potential for selective delignification of young coconut husk waste while maintaining cellulose content. Biological fermentation using white-rot fungi can therefore be considered a promising and environmentally friendly approach for improving the quality of lignocellulosic waste as ruminant feed
Bahasa Inggris Rosita, Mela; Evanuarini, Herly; Susilo, Agus; Rahayu, Premy Puspitawati; Nursita, Ita Wahju
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14755

Abstract

The development of functional meat products has gained increasing attention, particularly through the incorporation of dietary fibers to enhance nutritional value while maintaining product quality. This study aimed to evaluate the effect of adding 3% banana blossom flour (BBF) on the quality characteristics of spent hen meat sausages subjected to refrigeration at a temperature of 4°C over periods of 0, 7, 14, and 21 days. The experiment was arranged in a completely randomized design, with storage duration as the treatment factor and five replications. The parameters observed included moisture content, pH, texture, color (L, a*, b*), microbial counts, peroxide value, and sensory attributes during cold storage. The results showed that storage periods of spent hen meat sausages with BBF addition exerted a statistically significant effect (P < 0.01) on all parameters. During storage, pH value, redness, yellowness, total microorganism, and peroxide value increased, whereas moisture content, lightness, and sensory quality decreased. In conclusion, BBF addition extended the shelf life of sausages, allowing to remain acceptable until 21 days of cold storage, despite a gradual decline in sensory quality associated with increased peroxide values. Moreover, the utilization of BBF facilitates the enhancement of agricultural by-products as part of sustainable food innovation.
Diversity of Insect Pests, Parasitoids, and Predators on Rice Plants (Oryza Sativa L.) in Minahasa Regency Lengkong, Maxi; Wanta, Noni N.; Paruntu, Meisye H. B.
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14772

Abstract

Rice (Oryza sativa L.) is one of the most important crops as a major source of carbohydrates for the majority of the world's population. However, to date, rice farming in West Kakas District, Minahasa Regency, still faces problems due to pest attacks. The purpose of this study was to determine the types and diversity of insects on rice plants in West Kakas District, Minahasa Regency. The research was conducted in West Kakas Subdistrict, which was determined using the purposive method, at four locations with five observation points. Insects were captured directly using insect nets. The captured insect samples were collected and grouped according to type. The types and population densities of the captured insects were counted and identified, then analyzed for diversity using the Shenon and Wivier formula to obtain the diversity index (H), similarity index (E), richness index (R), and dominance index (C). The results of the study show that there are insect pests and natural enemies (parasitoids and predators). The insect pests consist of 5 orders, 12 families, and 16 species, namely Dolycorus sp, Scotinopharasp., Stenodema sp, Leptocorisa sp, Paraecosmetus sp, Cofana spectra, Recilia sp., Nephotetix sp, Oxya sp. , Anacridium sp, Chilo sp, Parnara sp, Cnaphalocrocis sp. , Orseolia sp , Chlorops sp, and Phyllotretra sp. Meanwhile, natural enemies consist of 3 orders, 9 families, and 9 species, namely Cyrtohinus sp. , sp, Agryophylax sp. , Sepedon sp., Encarsia sp., Menochilus sp. , Ophionea sp. , Paederus sp., Sceliphron sp. and Agriocnemis sp. The results of the Shannon and Wiever diversity analysis are H' = 3.04 or a high diversity index, the richness index R = 4.67 or moderate criterion value, the evenness index E = 0.52 or moderate and unstable evenness index, and the dominance index C = 0.377 or low dominance.
Computational Social Science Approach in Measuring Intra-Religious Tolerance Based on Big Data Nurhasanah, Muwahidah; Hadjar, Ibnu; Fihris; Idharudin, Abdul Jabar; Yudhiarti, Ndaru Putri
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14782

Abstract

The digital transformation of contemporary society has reshaped religious authority, identity construction, and intra-religious interaction. Social media platforms now function as primary arenas for theological negotiation, organizational affiliation, and discursive contestation within religious communities. In this context, intra-religious tolerance—the capacity to accept doctrinal, interpretive, and organizational diversity within the same religious tradition—has become increasingly mediated by algorithmic systems and digitally structured communication environments. Traditional survey-based and ethnographic approaches face limitations in capturing large-scale, real-time patterns of tolerance and polarization. This study develops a comprehensive conceptual framework for measuring intra-religious tolerance through a computational social science approach grounded in big data analytics. Using a qualitative research design based on systematic literature review (2016–2025), thematic synthesis, and conceptual integration, the study bridges scholarship in computational social science, big data methodologies, sociology of religion, and social psychology. The findings propose a multidimensional tolerance model encompassing cognitive, affective, behavioral, and algorithmic-structural dimensions. The article introduces a Big Data-Based Intra-Religious Tolerance Index (IRIT Index) grounded in digital trace indicators such as sentiment polarity, interaction diversity, network modularity, and hostility frequency. The framework contributes theoretically by integrating macro-sociological and micro-psychological theories within computational measurement paradigms, and methodologically by advancing qualitative conceptual modeling within data-intensive research. Ethical considerations, epistemological challenges, and implications for digital governance are discussed.
Pengembangan Media Diorama Berbasis Augmented Reality Untuk Meningkatkan Berpikir Reflektif Dan Self Regulation Pada Mapel IPAS SD Adhimah, Inayatul; Setianingsih, Rarasaning; Rosmiati
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14785

Abstract

This study aims to develop and evaluate an Augmented Reality (AR)-based diorama learning media to enhance elementary students’ reflective thinking and self-regulation in IPAS learning. This study employed a Research and Development (R&D) approach adapted from Borg and Gall, followed by a one-group pretest-posttest design to examine effectiveness. The participants were third-grade elementary students. Data were collected through expert validation sheets, practicality questionnaires, and reflective thinking and self-regulation test. Data analysis was conducted using descriptive statistics and normalized gain (N-gain). The results indicate that the developed media achieved very high validity (M = 3.76) and practicality (M = 3.81). The effectiveness test shows significant improvement in reflective thinking (N-gain = 0.68) and self-regulation (N-gain = 0.71), both in ranged from moderate to high categories. These study contributes by positioning that the integration of concrete diorama media with AR technology effectively promotes interactive, students-centered learning and supports the development of higher-order thinking skill and learner autonomy. This research contributes an empirically validated instructional media model elementary IPAS context that integrates physical and digital learning environments to enhance both cognitive and self-regulated learning outcomes in elementary IPAS
Integrasi Isu Sosioscientifik dalam Pendidikan Sains untuk Meningkatkan Keterampilan Argumentasi Ilmiah: Tinjauan Sistematis Triana, Desilawati; Yusup, Muhamad; Sriyanti, Ida
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14813

Abstract

Socioscientific Issues (SSI) integration in science education connects scientific concepts with complex real-world problems while fostering students’ scientific argumentation skills. This systematic review examines SSI integration in science learning, its contribution to students’ scientific argumentation, and the role of digital learning resources.The review followed PRISMA 2020 guidelines and analyzed empirical studies published between 2020 and 2025. Literature searches were conducted in October 2025 using Scopus, ScienceDirect, and Taylor & Francis Online with Boolean operators such as (“socioscientific issues” AND “scientific argumentation”). From an initial pool of 800 articles, 36 studies met the inclusion criteria and were analyzed through thematic synthesis. The findings reveal four dominant SSI integration patterns: scientific discuSSIon and debate, problem- and project-based learning, evidence-based decision-making, and digital instructional media. SSI integration consistently strengthens structural and dialogic argumentation, evidence evaluation, complexity-based reasoning, and consideration of ethical and social dimensions. However, studies integrating SSI into digital instructional resources remain limited. Teacher competence, argumentative scaffolding, and contextual issue relevance were identified as key supporting factors, while limited instructional materials and curriculum pressure became major barriers. These findings provide an empirical foundation for developing SSI-based science instruction and digital learning resources that support scientific argumentation in 21st-century education.
Analysis of Calibration and Validation of Road Roughness Survey Equipment (Hawkeye 2000) Based on SNI 3426:2022 Kusmana, Dody; Kurniawan, Ade; Sarief, Ivany; Mulyadi, Cecep Deni
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14816

Abstract

Road roughness measurement using the International Roughness Index (IRI) plays a critical role in road asset management, influencing maintenance prioritization and budget allocation. However, discrepancies between instruments may introduce bias without proper calibration. This study aims to analyze the calibration and validation of the Hawkeye 2000 as a Digital Laser Profiler for IRI measurement based on SNI 3426:2022. Calibration was conducted using a Walking Profilometer as the reference instrument, followed by validation on five test segments (SP1–SP5) with lengths of 100–500 meters under three speed variations (40, 50, and 60 km/h). The results show that the Hawkeye 2000 meets the requirements of SNI 3426:2022, with coefficients of determination (R²) of 0.9819 (left), 0.9850 (right), and 0.9820 (combined), indicating high accuracy. The coefficient of variation (CV) ranges from 0.0159 to 0.0241 (<5%), reflecting high precision. Calibration parameters (A = 0.9956; B = −0.0093) are within acceptable limits. The instrument also demonstrates consistent performance across different speeds. In conclusion, the Hawkeye 2000 is reliable for field IRI measurement, although further studies are needed to consider broader road conditions and external factors.
Analisis Komparatif Metode Pengurangan Derau Klasik dan Pembelajaran Mendalam untuk Meningkatkan Kualitas Citra Parasit Malaria Magribi, Wahyu Purnama; Akbar, Habibullah; Qusyairy, Muhammad Fazly; Saputra, Tino; Julianto, Eric; Ryansyah, Decky
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.14840

Abstract

Malaria diagnosis accuracy depends on microscopic image quality, often compromised by noise. This study comprehensively evaluates classical denoising (morphological, median, bilateral filters) against deep learning architectures (DnCNN, Autoencoder, U-Net) for malaria parasite images. Using the Cell Images for Detecting Malaria dataset with synthetic Gaussian, salt-and-pepper, and mixed noise, experiments measured PSNR, SSIM, and processing time. Results indicate U-Net achieved superior performance (PSNR 36.69 dB, SSIM 0.9577), significantly outperforming Autoencoder (PSNR 26.12 dB) and classical methods (PSNR 23.14 dB). The baseline DnCNN architecture did not achieve competitive performance (PSNR 8.42 dB), indicating that domain-specific parameter tuning and data normalization adjustments are necessary for effective application to microscopic imaging. Autoencoder demonstrated the highest computational efficiency (1.64 ms per image), though the 10.57 dB PSNR gap relative to U-Net suggests that the quality trade-off may limit its suitability in accuracy-critical diagnostic scenarios. U-Net best preserved morphological details crucial for diagnosis and is recommended as the primary choice for malaria diagnostic systems prioritizing accuracy, while Autoencoder represents the most computationally efficient alternative for resource-constrained deployment. These findings support developing robust computer-aided diagnosis systems and contribute a comprehensive quantitative benchmark for denoising methods in malaria microscopy.

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