Garuda - Garba Rujukan Digital

Validasi Instrumen Literasi Sains dengan Model Rasch untuk Socio-Scientific Issues Hendri Noperi; Irwandani; Wiliyanti, Vandan; Yanti, Fitri April; Syamsuri, M. Mahfudz Fauzi; Yusandika, Ajo Dian
N A T U R A L: Jurnal Ilmiah Pendidikan IPA Vol 11 No 2 (2024)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/natural.v11i2.18891

This study aims to evaluate the validity and reliability of a science literacy instrument based on the Rasch Model in measuring students' abilities on socio-scientific issues. The analysis was conducted on 20 items using the Winsteps software. The results indicate that the instrument demonstrated good reliability, with an item reliability value of 0.96 and a person reliability value of 0.65. The Wright Map revealed that most items were well-aligned with the respondents’ abilities, although some items fell outside the majority's ability range. The analysis of item difficulty showed adequate variation, with the most difficult item at logit 2.09 and the easiest at logit -2.49. However, the DIF analysis identified bias in item 20M, which exhibited significant differences between male and female groups. These findings highlight the importance of revising specific items to enhance fairness in measurement. This study provides significant contributions to the development of educational assessment instruments based on the Rasch Model, ensuring validity, reliability, and fairness in evaluation. The instrument is expected to serve as an effective tool to support science literacy-based learning across various educational levels.

Onchain Analysis: A Comparative Study of Decentralized Exchange (DEX) Activities on Ethereum, Solana, and Binance Smart Chain (BSC) Dian Yusandika, Ajo; Hossain Bhuiyan, Alamgir; Sarothi Laskar, Partho
Blockchain, Artificial Intelligence, and Future Research Vol. 1 No. 1 (2025): May 2025
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/bafr.v1i1.175

The rapid expansion of decentralized exchanges (DEXs) has reshaped cryptocurrency trading, yet comparative cross-chain evaluations remain scarce, particularly in transaction efficiency, liquidity sustainability, and economic viability. This study conducts an on-chain comparative analysis of Uniswap (Ethereum), Raydium (Solana), and PancakeSwap (BSC) by examining transaction count, trade volume, protocol revenue, and total value locked (TVL). Using real-time blockchain data from DefiLlama, Dune Analytics, Artemis, Token Terminal, and Arkham, this research applies quantitative cross-chain modeling to assess the performance of each ecosystem. Findings reveal that Ethereum leads in trade volume and liquidity depth, driven by institutional adoption despite high transaction costs. Solana exhibits superior transaction efficiency, attracting high-frequency traders, though its lower TVL suggests liquidity retention challenges. BSC, once a major DeFi player, now faces stagnation, with declining trade volume and fragmented liquidity. Unlike prior studies focusing solely on transaction metrics, this research integrates protocol revenue as a sustainability indicator, offering a broader understanding of DEX viability. The results underscore the need for cross-chain liquidity bridges and Layer-2 scaling solutions to mitigate liquidity fragmentation and enhance DeFi efficiency. This study contributes to both academia and industry by providing empirical insights for blockchain developers, investors, and policymakers, emphasizing the importance of scalability, liquidity incentives, and revenue optimization. The findings support future research on multi-chain liquidity integration, AI-driven market-making, and governance frameworks, guiding the next evolution of decentralized financial ecosystems.

Development of E-Worksheets Discovery Learning Model Assisted by Augmented Reality for Renewable Energy Topic Alpi Fajarno; Yuberti; Ratu Dwi Gustia Rasyidi; Sri Latifah; Ajo Dian Yusandika
Jurnal Penelitian Pembelajaran Fisika Vol. 16 No. 4 (2025): OCTOBER 2025
Publisher : Program Studi Pendidikan Fisika, Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jp2f.v16i4.2717

The poor motivation and interest of students in learning physics which is frequently viewed as challenging and less interesting led to the conduct of this study. As a result, creating cutting-edge educational materials that may facilitate interactive learning and foster a deeper conceptual grasp is essential. Building an Electronic Student Worksheet on the subject of renewable energy using the Discovery Learning methodology enhanced by Augmented Reality is the aim of this study. The research and development (R&D) method for this study was conducted Subject matter and media experts validated the generated product, and teachers and high school students participated in restricted trials to verify its viability and usefulness. The findings show that professionals rated the Worksheet as highly valid, and both teachers and students found it to be very interesting and user-friendly. Therefore, it is possible to implement the Augmented Reality assisted Discovery Learning-based Worksheet in physics education, and it has the potential to improve students' engagement and comprehension of renewable energy ideas.

PENGARUH MODEL BRAIN BASED LEARNING BERBANTUAN SIMULASI OLABS TERHADAP KEMAMPUAN CREATIVE PROBLEM SOLVING SISWA Yunita Lestari; Rahma Diani; Ajo Dian Yusandika
OPTIKA: Jurnal Pendidikan Fisika Vol. 9 No. 2 (2025): OPTIKA: Jurnal Pendidikan Fisika
Publisher : Department of Physics Education, Faculty of Teacher Training and Education, Universitas Flores

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37478/optika.v9i2.6586

Penelitian ini bertujuan untuk mengkaji efektivitas penerapan model Brain Based Learning yang dipadukan dengan laboratorium virtual (Olabs) terhadap kemampuan creative problem solving siswa. Jenis penelitian adalah Quasi-Eksperimen dengan desain non-equivalen control group design. Populasi penelitian meliputi seluruh siswa kelas X SMA Gajah Mada Bandar Lampung yang berjumlah 196 siswa, penentuan sample menggunakan teknik purposive sampling, dengan kelas X4 sebagai kelompok eksperimen dan kelas X6 sebagai kelompok kontrol, dengan masing-masing berjumlah 34 siswa dan 33 siswa. Instrumen penelitian terdiri dari tes berbentuk esai untuk mengukur kemampuan creative problem solving serta lembar observasi keterlaksanaan model pembelajaran. Analisis data dilakukan menggunakan uji independent sample t-test guna mengetahui peningkatan kemampuan setelah diberikan perlakuan. Hasil uji hipotesis menunjukkan nilai signifikansi sebesar 0.008 (p-value < 0.05), sehigga H0 ditolak dan Ha diterima. Berdasarkan hasil uji N-Gain nilai rata-rata kemampuan creative problem solving siswa pada kelas eksperimen lebih tinggi dibandingkan kelas kontrol. Dengan demikian, model Brain Based Learning berbantuan laboratorium virtual (OLabs) berpengaruh signifikan terhadap kemampuan creative problem solving siswa.

Onchain Analysis: A Comparative Study of Decentralized Exchange (DEX) Activities on Ethereum, Solana, and Binance Smart Chain (BSC) Ajo Dian Yusandika; Alamgir Hossain Bhuiyan; Partho Sarothi Laskar
Blockchain, Artificial Intelligence, and Future Research Vol. 1 No. 1 (2025): May 2025
Publisher : WISE Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70211/bafr.v1i1.175

The rapid expansion of decentralized exchanges (DEXs) has reshaped cryptocurrency trading, yet comparative cross-chain evaluations remain scarce, particularly in transaction efficiency, liquidity sustainability, and economic viability. This study conducts an on-chain comparative analysis of Uniswap (Ethereum), Raydium (Solana), and PancakeSwap (BSC) by examining transaction count, trade volume, protocol revenue, and total value locked (TVL). Using real-time blockchain data from DefiLlama, Dune Analytics, Artemis, Token Terminal, and Arkham, this research applies quantitative cross-chain modeling to assess the performance of each ecosystem. Findings reveal that Ethereum leads in trade volume and liquidity depth, driven by institutional adoption despite high transaction costs. Solana exhibits superior transaction efficiency, attracting high-frequency traders, though its lower TVL suggests liquidity retention challenges. BSC, once a major DeFi player, now faces stagnation, with declining trade volume and fragmented liquidity. Unlike prior studies focusing solely on transaction metrics, this research integrates protocol revenue as a sustainability indicator, offering a broader understanding of DEX viability. The results underscore the need for cross-chain liquidity bridges and Layer-2 scaling solutions to mitigate liquidity fragmentation and enhance DeFi efficiency. This study contributes to both academia and industry by providing empirical insights for blockchain developers, investors, and policymakers, emphasizing the importance of scalability, liquidity incentives, and revenue optimization. The findings support future research on multi-chain liquidity integration, AI-driven market-making, and governance frameworks, guiding the next evolution of decentralized financial ecosystems.

Enhancing Critical Thinking and Physics Concept Understanding through REACT-OLabs Ridha Vitri Suryawati; Antomi Saregar; Ajo Dian Yusandika
Jurnal Ilmiah Pendidikan Fisika Vol 10, No 2 (2026): JUNE 2026
Publisher : Universitas Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jipf.v10i2.18691

Students' critical thinking skills and science concepts are still lacking. This is because physics instruction tends on rote memorization, resulting in students having a superficial understanding of the material. The purpose of this study is to determine the effect of the REACT model, supported by OLabs, on students’ critical thinking skills and understanding of physics concepts. The study employed a quasi-experimental design with pretest–posttest measures and a quantitative approach. The study population consisted of 11th-grade students at SMAN 1 Seputih Banyak for the 2025/2026 academic year. A sample of 70 students was selected using cluster random sampling, comprising an experimental class (using the REACT model supported by OLabs) and a control class (conventional instruction). The instrument consists of an essay test to measure both variables, with 10 items measuring critical thinking skills and 12 items measuring conceptual understanding. The data were analyzed using a MANOVA test. The results of the study indicate that the REACT model, supported by OLabs, has an impact on both dependent variables, with a significance value of 0.000 (p < 0.05). The average score of the experimental group (77.43) for critical thinking skills surpassed that of the control group (54. 20), as did the score for conceptual understanding (83.09 > 54.51). These findings indicate that the use of a contextual learning model combined with simulation technology can help students better understand abstract physics concepts while simultaneously improving their comprehension and critical thinking skills. The conclusion of this study is that the REACT model, supported by OLabs, is effective in improving students’ critical thinking skills and understanding of physics concepts. Thus, it can serve as an innovative alternative for educators.

Title

Found 16 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 16 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 16 Documents
Search