Jurnal Penelitian Pendidikan IPA (Science Education Graduate Program University of Mataram)
Not a member yet
7130 research outputs found
Sort by
Non-Linear Force Dynamics in Black Hole Accretion Disks Using Logarithmic and Trigonometric Approximations
Accretion disks are material structures that form when gas, dust or plasma is pulled towards a black hole by its strong gravity. In rotating (Kerr) black holes, the dynamics of the accretion disk becomes more complex due to frame-dragging effects that affect particle trajectories and energy release patterns. This study aims to develop an algorithm for calculating the force F(x) on particles in the accretion disk by considering the non-linear interaction between the black hole spin parameter and the relative position of the particles. The developed algorithm uses logarithmic and trigonometric approaches to improve the accuracy of the force calculation. The results show that variations in the spin parameter and relative position significantly affect the force distribution in the accretion disk. Visualization of the force interaction reveals the existence of non-linear patterns that contribute to the system dynamics. The main contribution of this research is the refinement of force calculation models that previously did not fully incorporate the combined effects of logarithmic and trigonometry in particle interactions. The proposed approach offers a more accurate predictive tool to explore the physical processes around black holes, and supports the interpretation of observational data from telescopes and gravitational wave detector
The Effect of Andaliman Fruit Extract (Zanthoxylum acanthopodium DC) on α-Synuclein Levels in Rotenon-Induced Wistar Rats
Parkinson's disease is a neurodegenerative disorder characterized by loss of dopamine and formation of α-synuclein aggregates in the substantia nigra pars compacta (SNpc). This study aims to evaluate α-synuclein levels in the plasma of rotenone-induced Wistar rats as a model of Parkinson's disease and the therapeutic effect of Andaliman fruit extract. The design of this study was experimental with 25 male Wistar rats divided into five groups, negative control group (K-, only given distilled water), positive control (K+, induced rotenone 3 mg/kgBB/day for two weeks), and three treatment groups (P1, P2, P3) induced rotenone and given Andaliman extract orally at a dose of 150 mg/kgBB, 300 mg/kgBB, and 450 mg/kgBB respectively for 14 days. Measurement of levels was performed using ELISA on day 14 after induction and day 28 after therapy. The results of one-way ANOVA analysis showed that Andaliman extract significantly reduced α-synuclein levels at all doses compared to the positive control (p=0.000). The decrease in α-synuclein levels indicates the potential of Andaliman fruit extract in reducing Parkinson's disease-related pathology in mouse models
AI in Education: Transforming Student Engagement for the Digital Age
This research explores the transformative role of Artificial Intelligence (AI) in enhancing student engagement in higher education, specifically focusing on Educational Technology students at Yogyakarta State University, Indonesia. Through a descriptive quantitative approach, the study investigates how AI integration affects learning motivation, implementation patterns, and overall educational experiences in the digital era. A purposive sample of 25 fourth-semester students completed a structured questionnaire to assess their knowledge, usage patterns, and perceptions of AI in learning. Results revealed a high level of AI awareness (96%) and experience (100%) among students, though only 64% reported regular implementation in academic activities. Student perceptions were overwhelmingly positive, with 96% acknowledging AI's effective impact on learning, 92% reporting significant learning support, and 88% expressing intention to continue using AI in future studies. Despite these positive outcomes, the motivational aspect of AI received a comparatively lower rating (68%), suggesting areas for improvement. The study identifies AI's potential to create personalized, adaptive, and interactive learning environments while addressing concerns about over-reliance and ethical considerations. This research contributes to understanding how AI can be optimally integrated into higher education to enhance student engagement while maintaining fundamental educational values. The findings suggest that AI serves not as a replacement for educators but as a powerful complementary tool that transforms the educational landscape in the digital age
Global Research on Emerging Mobile Learning for Senior High School Students: A Bibliometric Approach
This study aims to explore the global trends and research contributions related to mobile learning for high school students through a bibliometric approach. The PRISMA method and bibliometric tools (R Studio and biblioshiny) were employed to analyze 70 documents from Scopus and Web of Science databases. Results indicate significant growth in publications, with an annual growth rate of 12.93% from 2008 to 2024, highlighting increasing interest in mobile learning. Indonesia, Taiwan, and China were the most productive countries, with journals such as Computers and Education (IF: 8.5; Q1) being the most influential source. Keyword co-occurrence analysis revealed key themes, including learning personalization, mobile learning effectiveness, and critical thinking skill development. The results show that mobile learning contributes significantly to improving students' motivation and learning outcomes without adding pressure, especially through the integration of mobile technology with e-learning approaches. This study provides strategic insights for educators, policymakers, and researchers to optimize mobile learning implementation in high school education, while identifying future research opportunities
Pengaruh Perhatian Orang Tua Terhadap Perilaku Sosial Siswa Kelas IV SDN Se-Gugus V Masbagik
Keluarga khususnya orang tua memiliki peran penting dalam membimbing dan mengarahkan anak dalam kehidupan sehari-harinya. Hal ini dikarenakan anak-anak khususnya pada usia 6-12 tahun masih rentan melakukan kesalahan terutama dalam berperilaku sosial. Dalam behaviorisme Skinner, anak belajar berperilaku melalui penyesuaian dari lingkungannya dan peniruan dari orang dewasa. Tetapi realitanya beberapa orang tua belum menyadari bahwa perhatian yang diberikan masih kurang sehingga berdampak pada perilaku sosial anak menjadi rendah. Penelitian ini bertujuan untuk mengetahui pengaruh perhatian orang tua terhadap perilaku sosial siswa kelas IV SDN Se-Gugus V Masbagik. Penelitian ini menggunakan metode kuantitatif yang bersifat korelasional. Sampel penelitian ini terdiri dari 250 responden yang masing-masing terdiri dari 125 siswa dan 125 orang tua dengan teknik pengambilan data sampel probability sampling tipe simple random sampling. Metode pengumpulan data yang digunakan berupa angket. Uji prasyarat menggunakan uji normalitas dan uji homogenitas serta pada pengujian hipotesis menggunakan uji sampel T. Berdasarkan hasil analisis diperoleh thitung > ttabel yakni 3,103 > 1,651 dan nilai signifikansi 0,002 < 0,05 maka Ha diterima dan Ho ditolak. Sehingga dapat disimpulkan bahwa terdapat pengaruh yang signifikan dalam perhatian orang tua terhadap perilaku sosial siswa kelas IV SDN Se-Gugus V Masbagik
Synergy of National Food Security System
The high population will have an impact on the food crisis and poverty if it is not balanced with food security. The Indonesian government must be able to formulate a national food policy that can improve food security. The food policy includes the availability of food Supplies in good quantity and quality as well as affordable food prices by the community and safe for consumption. The purpose of this study is to examine the synergy of the national food security system. This type of research is qualitative research with the aim of explaining the phenomenon by reviewing existing data. Data sources are obtained through bibliographic data from manuscripts obtained from Google Scholar and analyzed using the Systematic Literature Review (SLR) which is a method that uses previous evidence-based evidence through reviews, evaluations, structured evaluations, classifications and categorizations. Based on the results of the review, the results of this study include: implementing good governance as a challenge and solution to food security; food security stability also affects price and distribution policies; increasing rice production will make a major contribution to rice production. Superior rice varieties will increase food security and reduce poverty; food distribution is still not optimal so that availability in each region and prices in each region vary.Penelitian ini bertujuan untuk mengevaluasi efektivitas penerapan model pembelajaran berbasis Discovery Learning yang diintegrasikan dengan pendekatan Culturally Responsive Teaching (CRT) dan Teaching at the Right Level (TaRL) pada materi Hukum Newton. Tujuan utamanya adalah untuk melihat apakah model dan pendekatan ini dapat meningkatkan pemahaman konsep siswa. Untuk mencapai tujuan tersebut, penelitian ini menggunakan metode eksperimen kuasi dengan desain satu kelompok, yang mencakup penerapan pretest dan posttest. Analisis data dilakukan dengan menggunakan uji N-gain pada hasil pretest dan posttest kelompok eksperimen. Dari hasil penelitian diperoleh nilai N-gain sebesar 0,4921 yang termasuk dalam kriteria sedang. Hasil tersebut menunjukkan bahwa penerapan metode pembelajaran berbasis Discovery Learning terintegrasi dengan pendekatan CRT dan TaRL dalam konteks Kurikulum Merdeka pada materi Hukum Newton efektif meningkatkan pemahaman konsep siswa
Effectiveness of Giving Crude Extract of Red Betel Leaf (Piper crocatum) on the Hematology and Histopathology Profile of Goldfish (Cyprinus carpio) Gills Infected with Aeromonas hydrophila Bacteria
The purpose of this study was to analyze the hematology and histopathology of the gills of carp (C. carpio) treated with active compounds of red betel leaf extract (P. crocatum). This research method used a completely randomized design (CRD). The treatments used in this study were doses of 75 mg/L, 150 mg/L, 225 mg/L, 300 mg/L, 375 mg/L, negative control (healthy fish), and positive control (positive control), (healthy fish), and positive control (chloramphenicol antibiotic). Results of hematology and histopathology studies the results of hematology and histopathology studies on the gills of carp (C. carpio) after being infected with A. hydropilla bacteria experienced stress, this can be seen from. decreased red blood cells, increased leukocytes, and damage to the gill tissue. Carp returned to normal after being treated with red betel leaf extract. The best dose obtained after treatment was a dose of 300 mg/L. The results of clinical symptom observations showed a change from abnormal to normal conditions in goldfish after being treated. The conclusion is that red betel leaf extract contains dominant compounds in the form of flavonoids and alkaloids which can be useful as a medicine for goldfish infected with A. hydropilla bacteria
Analyzing Land Conversion Rate and Conversion Farmer Household Food Security in Bakalan Village, Pasuruan Regency
The conversion of agricultural land to non-agricultural uses presents significant challenges to food security, environmental sustainability, and economic progress in Bakalan Village. Food security categories for Bakalan Village conversion farmer families are assessed in this study using System Dynamic and Land Conversion Rate Analysis. A causal loop diagram illustrates the complex relationships between land conversion, food availability, affordability, and needs, crucial for understanding food security dynamics. Higher land conversion rates negatively impact food availability, risking local food security. System Dynamic integrates agricultural and non-agricultural income sources to model food affordability, a key food security determinant. Annual iterations capture fluctuations in land use, income, and food indicators, revealing the evolving impact on food security. This research emphasizes the need for sustainable land use practices, incentivizing land preservation, and promoting diversified incomes to ensure food security, environmental resilience, and socio-economic stability in Bakalan Village and similar agricultural communities globally. Adaptive policies informed by such models are essential for addressing these multifaceted challenges effectively
Design of Realtime Web Application Firewall on Deep Learning-Based to Improve Web Application Security
Web applications are widely used nowadays, but comprises several vulnerabilities that are often used by attacker to exploit the system. There is web application firewall (WAF) that could mitigate these problem. WAF generally works based on pre-established rules. However, the weakness of this system is the evolving nature of attacks, and configuring rules on WAF requires in-depth knowledge related to existing applications. Artificial intelligence technology, both machine learning (ML) and deep learning (DL), shows good potential in recognizing types of attacks. In this research, a Real-time DL-based WAF was built to enhance security in web applications. Various ML and DL models were tested to perform the task of web attack detection, including Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM). Based on the test results, the CNN-LSTM model achieved the highest performance, namely an accuracy of 98.61%, precision of 99%, recall of 98.08%, and f1-score of 98.54%. From the testing results with a web vulnerability scanner, the performance of the DL-based WAF is not inferior to ModSecurity WAF, which is used as a comparison. From the analysis results, it can be concluded that the implementation of DL-based WAF can improve the security of web applications
Development of E-LKPD Wizer: A Solution to Improve Problem Solving Skills and Ecological Attitude in Junior High School Students
The objective of this study was to develop and assess the impact of Wizer E-LKPD on the problem-solving skills and ecological attitudes of 28 VIIC class students at SMP Negeri 1 Wita Ponda. The study employed the ADDIE model as its research framework and utilized a one-group pretest-posttest design with purposive sampling. The research instruments included validation sheets, response questionnaires completed by teachers and students, tests of problem-solving abilities, and an ecological attitude questionnaire. The findings indicated that Wizer E-LKPD was highly valid, with an average rating of 94.12%. The results demonstrated that the Wizer E-LKPD effectively enhanced problem-solving skills, achieving a medium effect size of 0.65, and improved ecological attitudes with a simple effect size of 0.30. Therefore, it can be concluded that the Wizer E-LKPD is a valid, practical, and effective tool for improving students' problem-solving abilities and fostering ecological attitudes in science learning at SMP Negeri 1 Wita Ponda.Tujuan dari penelitian ini adalah untuk mengembangkan produk dan menganalisis dampak LKPD Wizer terhadap kemampuan pemecahan masalah dan sikap ekologis peserta didik yang terlibat dalam pembelajaran IPA di SMP Negeri 1 Wita Ponda. Penelitian ini menggunakan model ADDIE sebagai kerangka kerja penelitian dan pengembangan (R&D). Desain penelitian yang digunakan adalah desain pretest-posttest satu kelompok. Metode purposive sampling digunakan untuk memilih subjek penelitian, yaitu siswa kelas VIIC yang berjumlah 28 orang. Instrumen penelitian yang digunakan adalah lembar validasi produk LKPD Wizer, kuesioner untuk guru dan siswa mengenai tanggapan mereka, tes kemampuan pemecahan masalah, dan kuesioner Sikap Ekologis. Hasil penelitian menunjukkan bahwa produk LKPD E-LKPD Wizer sangat layak untuk digunakan, dengan nilai rata-rata 94,12% dengan kategori “sangat valid”. Hasil implementasi produk, yang ditunjukkan oleh tanggapan guru dan peserta didik, menunjukkan bahwa E-LKPD Wizer merupakan alat yang efektif dan berharga dengan nilai rata-rata 86,33%. Produk ini menunjukkan keefektifan dalam meningkatkan kemampuan pemecahan masalah, dengan effect size sebesar 0,65, yang termasuk dalam kategori efektif sedang. Demikian pula, produk ini menunjukkan keefektifan dalam meningkatkan sikap ekologis, dengan ukuran efek 0,30, yang termasuk dalam kategori efektif sederhana. Temuan ini menunjukkan kemampuan pemecahan masalah dan bahwa produk E-LKPD Wizer yang sangat valid dan praktis merupakan alat yang efektif untuk meningkatkan kemampuan pemecahan masalah dan sikap ekologis siswa pada pembelajaran IPA di SMP Negeri 1 Wita Ponda