cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
jppipa.unram@gmail.com
Editorial Address
Jalan Pendidikan No. 37 Mataram, 3 Floor
Location
Kota mataram,
Nusa tenggara barat
INDONESIA
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 6,652 Documents
 641   642   643   644   645 
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)
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)
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.
Enhancing Problem-Solving in Junior High School Mathematics and Science Through Guided Inquiry and Deeper Learning: A Systematic Literature Review Arif Desramaza; Elita Zusti Jamaan; Yerizon; Ahmad Fauzan
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14861

Abstract

This systematic literature review examines the integration of Guided Inquiry and Deeper Learning models to enhance problem-solving skills in junior high school Mathematics and Science education. Following PRISMA 2020 guidelines, a comprehensive search was conducted across Scopus, Web of Science, and ERIC databases for peer-reviewed articles published between 2015 and 2025. Twelve studies met the inclusion criteria and passed quality assessment using the Mixed Methods Appraisal Tool. Results reveal a sharp increase in publications post-2020, predominantly from Asian countries (Indonesia, Turkey, Thailand). All included studies reported positive outcomes, with guided inquiry cycles enhanced by reflection, knowledge transfer, and critical thinking components demonstrating significant improvements in students' problem-solving abilities compared to traditional instruction. Thematic analysis identified consistent instructional patterns including student worksheets, real-world problem contexts, and collaborative activities. However, gaps remain in longitudinal research, technology integration, and teacher professional development. This study proposes the Integrated Guided Inquiry–Deeper Learning Framework (IGI-DLF) as a conceptual guide for educators and researchers. The findings conclude that integrating deeper learning principles within inquiry-based approaches effectively fosters higher-order thinking and problem-solving competencies. Future research should focus on long-term skill retention, artificial intelligence scaffolding, and cross-cultural validation to advance mathematics and science education globally.
Development of Heyzine Flipbook on Regulatory System Content Integrated with the Qur'an Ranti An Nisaa; Ayu Fadila; Rizkia Suciati
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.9297

Abstract

21st-century learning is closely related to technology integrated into learning. Education and learning are expected to be able to apply technology by developing digital technology-based learning media. The national education goals and core competencies in the 2013 curriculum in Indonesia require that every learning must foster Islamic values. This study aims to produce a media flipbook, Heyzine, integrated with the Qur'an on the material of the regulatory system. The development (R&D) is adapted from the ADDIE development model, which includes five stages: Analysis, Design, Development, Implementation, and Evaluation. The analysis was conducted by examining students' and teachers' needs for learning media for biology content considered difficult. Design included designing media objects and content. Development included creating learning media using the Heyzine application in flipbook format. Implementation included testing the media on students after validation by experts and revisions. Evaluation was conducted to determine the feasibility of the developed media. Assessment validation was carried out by media experts, material experts, linguists, and Qur'anic commentators using questionnaires. The media that had been validated by experts was then tested on Muslim students in grade 11 science, which was divided into two stages, namely a small scale with 29 students and a large scale with 145 students, using questionnaires and interviews as validated by empiricism. It was found that media experts gave a score of 90%, material experts 86.1%, linguists 94.2%, and Qur'anic commentators 94%. The small-scale trial achieved a score of 85.6%, and the large-scale trial achieved a score of 90.5%. Therefore, the flipbook learning media on the Integrated Al-Quranic Regulatory System was declared highly suitable for use as a learning medium. By producing a flipbook Heyzine integrated with the Al-Quran on the regulatory system content, it is hoped that this technology-based learning will continue to prioritize comprehensive Islamic values ​​in biology learning.
Enhancing Students’ Learning Outcomes in Chemistry through Problem-Based Learning: A Systematic Literature Review Supporting Sustainable Development Goal 4 (Quality Education) Elva Laila; Festiyed; Yerimadesi; Yulkifli; Skunda Diliarosta
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.10145

Abstract

This study aims to systematically analyze the effectiveness of Problem-Based Learning (PBL) in enhancing students’ learning outcomes in chemistry education. This research employed a Systematic Literature Review (SLR) approach following PRISMA 2020 guidelines with strict inclusion criteria. A total of 30 empirical studies published between 2010 and 2025 were selected from Scopus- and SINTA-indexed journals. The findings indicate that PBL significantly improves students’ conceptual understanding, critical thinking, and problem-solving skills, particularly in topics such as reaction rates, chemical equilibrium, and acid–base chemistry. Furthermore, the integration of PBL with digital media and contextual approaches strengthens its effectiveness in supporting meaningful learning. However, challenges related to teacher readiness and the need for appropriate scaffolding remain critical issues. This study contributes to the achievement of Sustainable Development Goal 4 (Quality Education) by promoting effective student-centered learning strategies in chemistry education.
Pengaruh Model Flipped Problem-based Learning berbasis Etnokimia terhadap Literasi Kimia Siswa pada Materi Larutan Penyangga Meliana Fajri Nurkhasanah; Eli Rohaeti
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.10168

Abstract

This study investigates the effect of an ethnochemistry-based flipped problem-based learning (FPBL) model on students’ chemical literacy in buffer solution material. The research employed a quasi-experimental design with pre-test and post-test control groups. Data were collected through chemical literacy tests and analyzed using MANOVA at a 5% significance level. The results revealed a significant difference in chemical literacy between students who learned through the ethnochemistry-based FPBL model and those instructed using a conventional scientific approach. The model contributed 23.5% to the improvement in students’ chemical literacy, indicating a substantial effect. Furthermore, students exposed to the ethnochemistry-based FPBL model demonstrated enhanced ability to integrate chemical concepts with problem-solving and apply knowledge in practical scenarios. These findings highlight the effectiveness of incorporating ethnochemistry elements into flipped problem-based learning, providing a structured and culturally relevant approach that promotes deeper understanding of chemistry concepts. This study offers evidence that the ethnochemistry-based FPBL model can serve as an effective pedagogical strategy to enhance chemical literacy, suggesting its potential for broader application in chemistry education.
Analisis Resonansi dan Rasio Damping Menara Masjid Baiturrahman terhadap guncangan gempa bumi Angelia M. Purba; Daniel H. S. Napitu; Meidi W. Lestari; Juanto Simangunsong; Elferida Hutajulu; Nicodemus F. Hutabarat; Aprima A. Matondang
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.11221

Abstract

The electrification of urban public transportation has become a key strategy for reducing energy consumption and greenhouse gas emissions while improving overall system efficiency. This study develops a comprehensive modeling framework to evaluate the energy consumption and charging infrastructure requirements of electric bus fleets operating in urban environments, incorporating key operational parameters such as travel distance (126 km/day), vehicle energy efficiency (1.2–1.5 kWh/km), fleet size (5–30 buses), and regenerative braking efficiency (25%). The results indicate that a single electric bus consumes approximately 151.2 kWh/day under typical operating conditions, which can be reduced to 113.4 kWh/day through regenerative braking, representing a 25% improvement. At the fleet level, electricity demand increases proportionally, reaching 0.76 MWh/day (5 buses), 1.51 MWh/day (10 buses), 2.27 MWh/day (15 buses), and 3.02 MWh/day (20 buses). Furthermore, fast-charging systems with a capacity of 150 kW can deliver up to 300 kWh within 2 hours but may introduce peak load demands of up to 0.75 MW. These findings highlight the importance of integrated energy modeling, smart charging strategies, and grid-aware planning
Development of Augmented Reality-Based Science Module to Find Out the Understanding of Grade IX Junior High School Students on Pressure Concepts Iwel Triana; Siti Nurul Khotimah
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.11461

Abstract

This study aims to develop an Augmented Reality (AR)-based science module to improve students’ understanding of pressure concepts. The development was motivated by students’ low interest and difficulty in learning abstract pressure concepts, as well as the limited availability of interactive instructional media. The research employed the ADDIE development model and implemented a one-group pretest–posttest design to evaluate the module’s effectiveness. The AR module was designed based on curriculum requirements and student characteristics, followed by the creation of 3D visualizations and integration into an AR application. Validation by material and media experts indicated a very good level of feasibility (mean score 4.78 on a 5-point scale). The module was implemented with Grade IX students at SMP Surya Kencana Bhakti, Bandung. Results showed an increase in the average score from 36.79 (pretest) to 75.71 (posttest). The normalized gain (N-gain) was 0.62, which falls into the Medium category according to Hake’s criteria. The improvement was statistically meaningful, and more than 90% of students reported higher motivation and engagement. Overall, the AR-based module is considered feasible and effective, making it a suitable interactive learning resource for supporting science learning in the 21st century.
Agronomic Performance and Yield Potential of Promising Pigmented (Red and Black) Rice Lines In Medium-Altitude Paddy Fields I Gusti Putu Muliarta Aryana; I Wayan Sudika; Ni Wayan Sri Suliartini; Fitriani Fitriani
Jurnal Penelitian Pendidikan IPA Vol 12 No 4 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i4.11522

Abstract

This study aimed to evaluate the agronomic traits and yield performance of several promising pigmented rice lines, including red and black rice, grown in medium-lowland paddy fields. The research was conducted from March to June 2025 at an altitude of 402 meters above sea level in Tampak Siring Village, Batukliang District, Central Lombok Regency. The experimental method used was a Randomized Complete Block Design (RCBD) consisting of 21 treatments, including 11 red rice lines, 4 black rice lines, and 4 parental lines (IPB3S, Situ Patenggang, Baas Selem, and the red rice promising line F2BC4P19-36), along with 2 check varieties, Impago Unram 1 and IR64. Each treatment was replicated three times, resulting in a total of 63 experimental units. The observed data were analyzed using analysis of variance (ANOVA), and significant differences among treatments were further tested using Duncan’s Multiple Range Test (DMRT) at a 5% significance level. The results showed that the agronomic performance of both red and black rice lines exhibited medium maturity, with flowering time ranging from 83 to 93 days after sowing and harvesting time from 120 to 129 days after sowing. The number of productive tillers ranged from 12 to 19 tillers, panicle length ranged from 23 to 27 cm, the number of filled grains per panicle ranged from 130 to 147 grains, and grain weight per clump ranged from 33 to 41 grams. The highest grain yield was recorded in the red rice line G-2M (F7 IPB3S/F2BC4P19-63/FAT/F2BC44P19-63-PD3/15) at 4.99 t/ha, which was higher than its parental lines IPB3S (G1-6IPB3S) at 4.31 t/ha and GH Merah (G-20GHBM) at 3.83 t/ha. Among black rice lines, G-12H (F11BLK.SP/BS 2/1/1/P4) yielded 4.42 t/ha, compared to Baas Selem (G-18BS) at 3.86 t/ha, Situ Patenggang (G-17SP) at 4.63 t/ha, and the check variety IR64 (G-21IR64) at 3.60 t/ha.
Climate Variability and Its Effects on Rice (Oryza sativa L.) Productivity, Pest Incidence, and Disease Occurrence in Pematang Setrak Village, Teluk Mengkudu District, Serdang Bedagai Regency, Indonesia Nurhayati Nurhayati; Aranda Muttaqi Hasibuan; Murni Sari Rahayu
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.11771

Abstract

This study employed a survey method with field data collection to analyze the relationship between rainfall and rainy days on irrigated rice productivity. The analysis was conducted using correlation tests to determine the strength of the relationship between variables, as well as multiple linear regression to examine the influence of climatic variables on productivity. The results indicate that rainfall and rainy days do not have a significant relationship with productivity. This is because the irrigated rice cultivation system is supported by adequate irrigation, so it does not entirely depend on rainfall conditions. Based on interview results, the average farmer owns approximately 1 hectare of land with productivity reaching 7–8 tons/ha using the varieties Inpari 32, Ciherang, and Mekongga. Regression analysis results indicate that rainfall and rainy days together account for 60.57% of the variation in productivity, while 40.43% is influenced by other factors such as fertilization, variety, and crop maintenance. Additionally, an analysis of pests and diseases revealed that some pests showed no significant correlation with climatic variables, while diseases such as blast and leaf spot exhibited a significant relationship with rainfall and rainy days

Page 643 of 666 | Total Record : 6652

 641   642   643   644   645 

Filter by Year

2015 2026


Reset
Filter By Issues
All Issue Vol 12 No 5 (2026): In Progress Vol 12 No 4 (2026) Vol 12 No 3 (2026) Vol 12 No 2 (2026) Vol 12 No 1 (2026) Vol 11 No 12 (2025): December Vol 11 No 11 (2025): November Vol 11 No 10 (2025): October Vol 11 No 9 (2025): September Vol 11 No 8 (2025): August Vol 11 No 7 (2025): July Vol 11 No 6 (2025): June Vol 11 No 5 (2025): May Vol 11 No 4 (2025): April Vol 11 No 3 (2025): March Vol 11 No 2 (2025): February Vol 11 No 1 (2025): January Vol 10 No 12 (2024): December Vol 10 No 11 (2024): November Vol 10 No 10 (2024): October Vol 10 No 9 (2024): September Vol 10 No 8 (2024): August Vol 10 No 7 (2024): July Vol 10 No 6 (2024): June Vol 10 No 5 (2024): May Vol 10 No 4 (2024): April Vol 10 No 3 (2024): March Vol. 10 No. 2 (2024): February Vol 10 No 2 (2024): February Vol 10 No 1 (2024): January Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science Vol. 9 No. 12 (2023): December Vol 9 No 12 (2023): December Vol. 9 No. 11 (2023): November Vol 9 No 11 (2023): November Vol 9 No 10 (2023): October Vol. 9 No. 10 (2023): October Vol 9 No 9 (2023): September Vol. 9 No. 9 (2023): September Vol 9 No 8 (2023): August Vol. 9 No. 8 (2023): August Vol 9 No 7 (2023): July Vol 9 No 6 (2023): June Vol. 9 No. 6 (2023): June Vol. 9 No. 5 (2023): May Vol 9 No 5 (2023): May Vol. 9 No. 4 (2023): April Vol 9 No 4 (2023): April Vol 9 No 3 (2023): March Vol 9 No 2 (2023): February Vol. 9 No. 2 (2023): February Vol. 9 No. 1 (2023): January Vol 9 No 1 (2023): January Vol. 9 No. SpecialIssue (2023): UNRAM journals and research based on science education, science appl Vol 9 No SpecialIssue (2023): UNRAM journals and research based on science education, science applic Vol 8 No 6 (2022): December Vol 8 No 5 (2022): November Vol 8 No 4 (2022): October Vol 8 No 3 (2022): July Vol 8 No 2 (2022): April Vol 8 No 1 (2022): January Vol. 8 No. SpecialIssue (2022): December Vol 8 No SpecialIssue (2022): December Vol 7 No 4 (2021): October Vol 7 No 3 (2021): July Vol. 7 No. 2 (2021): April Vol. 7 No. 1 (2021): January Vol 7 No SpecialIssue (2021): December Vol. 6 No. 2 (2020): July Vol. 6 No. 1 (2020): January Vol. 5 No. 2 (2019): July Vol. 5 No. 1 (2019): January Vol. 4 No. 2 (2018): July Vol. 4 No. 1 (2018): January Vol. 3 No. 2 (2017): July Vol. 3 No. 1 (2017): January Vol. 2 No. 2 (2016): July Vol. 2 No. 1 (2016): January Vol. 1 No. 2 (2015): July Vol. 1 No. 1 (2015): January More Issue