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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 115 Documents
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Search results for , issue "Vol 12 No 1 (2026)" : 115 Documents clear
Ethnoscience as a Science Phenomenon in Science Learning to Increase Student Science Competency: A Literature Review Kevin Jeremia Hutauruk; Nabilah Dwi Rahayu; Elis Kaiye; Alvina Meutia Anzalna; Dian Rahmawati; Farah Erika; Sukemi Sukemi
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.10055

Abstract

Students' science competencies are challenged in science education. It is caused by the fact that science concepts are commonly presented abstractly and not contextually. This study aimed to systematically map the use of ethnoscience phenomena in science education and their contribution to enhancing students' science competencies. The method employed was a systematic literature review with a quantitative bibliometric approach, based on the PRISMA guidelines, utilizing published articles from Scopus, Google Scholar, Semantic Scholar, and SINTA (2019 – 2024). Forty-four articles met the inclusion criteria. The study results show that the ethnoscience phenomenon in science education can be classified into four main themes, namely traditional food processing, ecology and local environment, traditional technology and tools, and material culture and chemical processes, which are consistently related to three aspects of PISA science competency: explaining scientific phenomena, designing and evaluating investigations, and interpreting scientific data and evidence. It can be concluded that ethnoscience is an effective contextual bridge between science concepts - students' cultural experiences, and offering a novelty as thematic mapping of ethnoscience phenomena and theoretical mechanisms for improving science competency, which serves as a basis in science learning development based local culture in the future.
Development of a Problem-Based Learning Module on Elements, Compounds, and Mixtures to Enhance Eighth-Grade Students’ Critical Thinking Skills Imam Setiawan; Baskoro Adi Prayitno; Bowo Sugiharto
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11451

Abstract

This study aimed to develop and evaluate a Problem-Based Learning (PBL) science module supplemented with Mind Maps on the topic of elements, compounds, and mixtures to enhance the critical thinking skills of eighth-grade students. The research objectives were to: 1) describe the module's characteristics, 2) examine its feasibility, and 3) test its effectiveness. The development followed the Borg and Gall procedure, comprising ten systematic steps. The module's feasibility was assessed using the Aiken’s V validity test, while its impact on critical thinking skills was analyzed using ANCOVA. The results demonstrated that: 1) The developed module possesses distinctive characteristics, integrating PBL with Mind Maps, which promotes active student engagement and provides direct learning experiences to foster critical thinking. 2) The module is highly feasible for classroom use, supported by a strong Aiken’s V validity value of 0.85. 3) The module is statistically effective in improving students' critical thinking skills. This conclusion is substantiated by the ANCOVA test results, which showed a highly significant value of p <0.001, confirming a notable enhancement in critical thinking abilities after the implementation of the module. The study successfully validates the module as a viable and effective learning tool.
Utilization of Local Natural Dyes and Mordants in Dyeing Polyester Yarn for Timor Woven Fabrics: Characterization and Potential Applications Marselina Theresia Djue Tea; Elisabeth Korbafo; Faustinus Kadha; Yohana Ivana Kedang; Fetronela Rambu Bobu; Agustina Mogi; Ernesta Wae; Janrigo Klamegio Mere; Gebhardus Djugian Gelyaman
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11639

Abstract

The objective of this study was to extract natural dyes from plant parts, characterize them, and evaluate their color fastness properties. The yarns were bleached using hydrogen peroxide at a concentration of 10% (based on fiber weight) at 100°C for 30 minutes. Three natural dyes (teak leaves, turmeric, and mango bark) were selected as natural sources for color extraction, which was carried out for 60 minutes at 100°C. Dyeing was performed both with and without the addition of salt, alum, and lime as mordants. The FTIR spectra of fabrics dyed with natural dye extracts showed absorption bands at 2963–2918 cm⁻¹, indicating the presence of C-H stretching from methyl (CH₃) and methylene (-CH₂-) groups found in polyester. The band at 1710–1713 cm⁻¹ originated from the carbonyl (C=O) group, which is a main characteristic of polyester. The band around 1504–1577 cm⁻¹ was identified as aromatic C=C bond stretching. The band at 1338–1242 cm⁻¹ indicated C-O stretching, which may be attributed to ester groups in polyester. The band at 1091–1015 cm⁻¹ represented C-H bending, which is also characteristic of polyester molecules. Turmeric and teak leaves demonstrated better color fastness compared to mango bark.
In Vitro Multiplication of the Ornamental Plant Sente (Alocasia melo) Badriansyah; Aida Muspiah; Nur Indah Julisaniah
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11722

Abstract

The genus Alocasia showed high diversity, including morphological differences among approximately 60 species. One of these species was Alocasia melo, which was distributed on Borneo Island. A. melo had high aesthetic and economic value, making it popular among ornamental plant enthusiasts. However, growing A. melo naturally was challenging due to specific habitat, such as humidity, temperature, lighting, water supply, soil pH, and indoor storage to increase survival rates. To address this, tissue culture (in vitro) was used as a method for its propagation and conservation.  This study aimed to determine the effects of different nutrient components on the in vitro growth of A. melo and to find the most effective nutrient combination for its growth. The research was an experimental study with treatments including coconut water + 6-Benzylaminopurine (BAP), algae extract + BAP, coconut water, algae extract, and coconut water + algae extract on solid media. The data were analyzed descriptively, showing the number of shoots and roots in tables and figures. The results showed that the treatment with coconut water (10 mL) + BAP (1 ppm) produced the highest average number of shoots (3.75). Meanwhile, the treatment with coconut water (30 mL) resulted in the highest average number of roots (6.75).
Development of a Pico-Hydro Trainer for Renewable Energy Practicum in Universities Arwadi Sinuraya; Denny Haryanto Sinaga; Lastama Sinaga; Reza Arbi Azizi Lubis; Dito Yudhistira Nugroho; Ricky Nelson Tampubolon
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11917

Abstract

This study aimed to develop a Pico Hydro trainer as a practical learning tool to support renewable energy education in higher education. The development followed the ADDIE model, consisting of analysis, design, development, implementation, and evaluation phases. The trainer was constructed using essential components, including a turbine, AC generator, high-pressure pump, digital monitoring instruments, and safety features. Expert validation results indicated a feasibility score of 3.60 from the material expert, 3.50 from the media expert, and 3.56 from user responses, with an average rating of 3.55 that was categorized as “very feasible.” Performance testing demonstrated the trainer's ability to generate up to 22V at 576 RPM under no-load conditions. Additionally, student learning outcomes improved significantly, as shown by a normalized gain score of 0.714. These findings suggest that the Pico Hydro trainer is effective in integrating theoretical knowledge with hands-on experience, and it offers a safe, portable, and efficient solution for laboratory-based instruction in renewable energy systems.
Analysis of Grade 10 High School Students’ Understanding of Renewable Energy Concepts Using the ANATES Application Munib; Wahab Jufri; Agus Abhi Purwoko; Muh. Makhrus; Joni Rokhmat; AA Sukarso
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11954

Abstract

The purpose of this study is to evaluate how high school grade X students understand the concepts of renewable energy using the ANATES tool. This study uses a descriptive quantitative approach with a sample of 60 students from two Grade X classes at SMAS Darul Falah Pagutan Mataram. The instrument used was in the form of 20 multiple-choice questions developed based on indicators of understanding renewable energy concepts. The test results were analyzed using ANATES to measure the level of conceptual understanding, the level of difficulty, and the discriminating power. The results showed that 25% of students were in the medium understanding category, 46.7% were in the very low category, and 28.3% were in the low category. Most of the questions were in the medium difficulty category (45%) and had varying discriminating power, with 50% classified as good, 5% as sufficient, and 45% as poor. This study recommends the need to improve learning strategies that emphasize an inquiry-based approach, the contextual integration of ESD (Education for Sustainable Development), and the use of evaluation tools that can provide informative feedback to enhance students' conceptual understanding of renewable energy.
Molecular Identification of Symbiont Bacteria on Brown Alga Padina australis Hauck Marina Flora Oktavine Singkoh; Sebrina Kuron; Stella Deiby Umboh; Deidy Yulius Katili; Beivy Kolondam; Agustina Tangapo
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.11978

Abstract

The research aimed to identify the symbiont bacteria in brown alga Padina australis from the coastal waters of Molas, Manado city, Indonesia. Fresh samples were crushed with a mortar and pestle until smooth. A total of 1 g of the smooth alga was added into a test tube containing 9 mL of distilled water to obtain a 10-1 dilution. Next, 1 mL of a 10-1 solution was put into another test tube containing 9 mL of distilled water and vortexed for 15 minutes to obtain 10-2 dilution and so on until a 10-8 solution was obtained. 100 μL of solution from each series 10-4 – 10-8 was spread on NA media and incubated at a temperature of 27–29°C for 24 hours. DNA extraction was carried out following the modified Genomic DNA Mini Kit (Geneaid) protocol. DNA amplification was carried out using the 16S rRNA gene. Amplification using primers for the 16S rRNA gene BKXF (forward) and BKXR (reverse) resulted in fragments 1152 base pairs in length. The results of BLAST analysis of SK1 symbiont bacterial isolates found a Max score and total score of 1369, a query coverage of 97%, and a Percent Ident of 97.73%, which showed similarity to bacterial nucleotides of Bacillus cereus.
Utilization of Palm Plants (Arecaceae) in the Acehnese Community in Gandapura District, Bireuen Regency Cut Roswita; Erlia Hanum; Afkar; Nadia Aldyza; Syifa Saputra; Rahmawati
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.12152

Abstract

The purpose of this study was to determine the utilization of sugar palm (Arecaceae) plants in the Acehnese community in Gandapura District, Bireuen Regency. In collecting data, this study distributed questionnaires, semi-structured and open-ended free interviews to various age groups with a total of 11 questions. The research sample in this study amounted to 153 people. The sampling method was carried out using the purposeful sampling method; namely, the population has homogeneous and stratified elements/members. Samples were taken based on age groups, namely young adults (aged 20-35) who are actively working to earn a living; middle adults (aged 36-50) who are generally married and have a permanent residence; and older people (> 50 years) who are considered village leaders/elders and have influence in the village. The results showed that 13 types of sugar palm plants were utilized. The utilization of 13 types of plants consists of 7 types as food ingredients, 7 types as craft materials, 5 types as building materials, 7 types for traditional medicine, 2 types for traditional ceremonies and 5 types of ornamental plants. To determine the utilization of plant species diversity, an analysis of the level of importance of a plant species for the community was carried out, namely by calculating the Cultural Significance Index (ICS). The highest ICS value was found in the Cocos nucifera plant, namely 293, followed by Areca nut (Areca catechu) and Areca nut (Arenga pinnata) with values of 113 and 111.
Rhizophora apiculata Kombucha Fermented Beverage: Secondary Metabolite Content and Antioxidant Activity Agustina Monalisa Tangapo; Susan Marlein Mambu; Parluhutan Siahaan; Erika Kolompoy; Marsia Pasassa
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.12349

Abstract

Kombucha is a functional beverage produced by the fermentation of bacteria and yeast (SCOBY). This fermented beverage contains various bioactive compounds with antioxidant potential. Rhizophora apiculata is a mangrove plant that contains bioactive compounds with rich health benefits. Based on this, modifying kombucha fermentation with a mangrove leaf tea substrate can increase kombucha's effectiveness as an antioxidant. This study aims to analyze the secondary metabolite content profile and antioxidant activity of R. apiculata kombucha. Kombucha fermentation was carried out for seven days with a 10% sugar concentration. Analysis of the secondary metabolite content profile of R. apiculata kombucha was carried out using GC–MS analysis. Antioxidant activity was evaluated using the DPPH assay. The results showed a decrease in pH during the fermentation period and an increase in total acidity. The results of GC–MS analysis of R. apiculata kombucha showed 23 secondary metabolite compounds with varying retention times, area sizes, and chemical structures. The composition of the identified compounds was dominated by acetic acid (26.9%), 5-hydroxymethylfurfural (HMF, 12.38%), N′-(diaminomethylidene) butanehydrazide (7.68%), 1,2,3-propanetriol, 1-acetate (6.91%), and methyl α-D-rhamnopyranoside (5.12%). R. apiculata kombucha has the potential to act as an antioxidant, with an IC₅₀ value of 27.16 ppm, which is classified as a very strong antioxidant.
Multimethodology Analysis of Determinants of Breast Cancer Diagnosis Machine Learning Dita Anggriani Lubis; Yuli Irnawati; Ayu Trisni Pamilih; Ria Fazelita Br Gultom
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.12497

Abstract

Breast cancer remains one of the most prevalent and life-threatening diseases worldwide, highlighting the urgent need for accurate and interpretable diagnostic models. While machine learning has shown promise in classification tasks, many existing models lack transparency and overlook the individual contribution of cellular features essential for clinical decision-making.This study proposes an integrative and explainable framework to identify the most influential cellular-level features in distinguishing between benign and malignant breast tumors. Using a publicly available dataset comprising 569 observations and 32 numerical features, we conducted a multi-step analysis. Feature relevance was first evaluated using Pearson correlation. Random Forest and Recursive Feature Elimination (RFE) were employed to rank and refine the feature subset, followed by Principal Component Analysis (PCA) for dimensionality reduction and pattern visualization. SHapley Additive exPlanations (SHAP) were utilized to interpret individual predictions. Complementary statistical tests, including t-tests and chi-square analyses, assessed associations between tumor characteristics and diagnosis. A logistic regression model was developed to evaluate predictive performance.Key cellular features—such as mean radius, texture, and concavity—were consistently identified as highly predictive of diagnosis. RFE demonstrated that fewer than 10 features were sufficient for optimal classification. The logistic regression model achieved high accuracy, offering a simpler yet effective alternative for prediction.By combining statistical methods with interpretable machine learning, this study presents a transparent and clinically relevant approach to breast cancer diagnosis. The integration of SHAP values bridges the gap between model performance and interpretability, supporting more informed and personalized clinical decisions. Future work should consider external validation, image-based features, and patient demographic variables to enhance generalizability.

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