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All Journal Jurnal Inovasi Teknologi Pendidikan Catalyx : Journal of Process Chemistry and Technology
Ika Fitri Ulfindrayani
Universitas Negeri Surabaya
Chemistry Education

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The effect of an adaptive scaffolding-based learning website on students’ computational thinking skills Wahyu Agil Masduki; Achmad Imam Agung; Yeni Anistyasari; Ika Fitri Ulfindrayani; Yessy Yessy
Jurnal Inovasi Teknologi Pendidikan Vol. 13 No. 2 (2026): June
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jitp.v13i2.99406

Abstract

Computational Thinking (CT) learning in Informatics may be challenging when students begin with different levels of competence, while uniform task difficulty and support do not adequately address these differences. An adaptive scaffolding-based learning website offers a possible solution by adjusting learning levels and providing progressive assistance according to students’ initial competence. This study examined the effect of the website on the CT skills of Grade X students. A quantitative quasi-experimental study with a nonequivalent control group pretest-posttest design involved 72 students, comprising 36 students in the experimental group and 36 in the control group. The experimental group used the adaptive scaffolding-based website, whereas the control group received conventional instruction through teacher explanations, classroom discussions, practice questions, and assignments without the adaptive website or tiered hints. Data were analyzed using N-Gain, normality and homogeneity tests, an independent-samples t-test, and Cohen’s d. The experimental group obtained a higher mean N-Gain than the control group (0.58 vs. 0.36), with a statistically significant difference (p < .001) and a large effect (Cohen’s d = 2.43). Decomposition showed the greatest improvement among the CT indicators (N-Gain = 0.699). The adaptive website significantly improved students’ CT skills through competency-based progressive scaffolding support. Future studies should involve broader samples, longer interventions, and additional learning outcomes.
Precision Surface Engineering of Functionalized Nanoparticles for Enhanced Catalytic Activity and Stability Astri Senania; Ika Fitri Ulfindrayani
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i1.1269

Abstract

Nanoparticles (NPs) offer exceptional catalytic potential due to their high surface-area-to-volume ratios and tunable surface chemistries. However, limitations such as agglomeration, leaching, and poor selectivity hinder their broader application. This study investigates the role of surface functionalization in enhancing catalytic performance metrics, including activity, selectivity, and durability, across noble metal and metal oxide nanoparticles. Functionalized nanoparticles were synthesized via chemical reduction, sol–gel, and electrochemical methods, followed by ligand exchange, polymer grafting, and core–shell fabrication. Characterization tools TEM, XPS, TGA, and ICP-OES were employed to link surface features with performance. Catalytic activity was tested across model reactions, and key metrics such as turnover frequency (TOF), conversion efficiency, selectivity, and cycle stability were quantified. Results demonstrate that multidentate ligands, polymer brushes, and Janus morphologies significantly improve catalytic outcomes. AuNPs functionalized with tripodal phosphines achieved TOFs up to 2100 h⁻¹, while PdNPs with polymer brushes retained over 90% activity after 10 cycles. Correlation analyses confirmed that optimal ligand coverage (4.7–6.2 mg/m²) reduces activation energy and enhances electron transfer. Structural and electronic stability were validated through TEM and XPS, and real-time spectroscopic data supported mechanistic interpretations. The study concludes that surface functionalization is a powerful strategy for engineering high-performance catalysts. It offers a design framework for linking structural features to functional outcomes, paving the way for intelligent, adaptive catalytic systems.
Quantifying Emission Reductions in Agro-Industry: Evidence from Cleaner Production Strategies Ika Fitri Ulfindrayani
Catalyx : Journal of Process Chemistry and Technology Vol. 2 No. 3 (2025): July 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/catalyx.v2i3.1333

Abstract

Agro-processing industries play a critical role in global food systems but are also major contributors to environmental pollution. This study investigates the impact of Cleaner Production (CP) strategies on reducing key emissions carbon dioxide (CO₂), nitrogen oxides (NOₓ), sulfur dioxide (SO₂), and chemical oxygen demand (COD) within agro-industrial processes. Using a comparative analysis between conventional and CP-based operations, emission data were collected and evaluated using standardized performance metrics. The methodology involved analyzing quantitative data from agro-processing facilities before and after CP implementation. Emission reductions were calculated using emission factors and comparative benchmarks. The results indicate substantial reductions across all measured pollutants: CO₂ by 33.7%, NOₓ by 36.8%, SO₂ by 42.3%, and COD by 45.8%. These findings align with global efforts to reduce environmental impact through sustainable industrial practices. Cleaner Production not only lowers emissions but also enhances energy efficiency, resource utilization, and operational cost-effectiveness. Case studies and policy literature support these results, indicating that CP provides a scalable and practical solution for agro-industrial sustainability. In conclusion, this research affirms that Cleaner Production can be a transformative strategy for environmental management in agro-processing. Broader adoption of CP, supported by policy incentives and capacity-building, could drive significant progress toward industrial sustainability goals.
Co-Authors Achmad Imam Agung Astri Senania, Astri Wahyu Agil Masduki Yeni Anistyasari Yessy Yessy