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All Journal Biology, Medicine, & Natural Product Chemistry Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Engineering and Technological Sciences
Mardiana, St
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Aerospace Engineering Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Medicine & Pharmacology Public Health

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Deeper Insight into the Rational Design and Synthesis of Zeolites Revealed by Machine Learning: A Mini Review Mardiana, St; S. F. Nanda, Arxhel; Arcana, I Made; Ismunandar, Ismunandar; Fajar, Adroit T. N.; Kadja, Grandprix T. M.
Journal of Engineering and Technological Sciences Vol. 57 No. 4 (2025): Vol. 57 No. 4 (2025): August
Publisher : Directorate for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2025.57.4.4

Abstract

Zeolites are widely applied in various fields owing to their outstanding properties. However, our understanding on the nature of zeolite synthesis is not completed yet due to its high dimensional parameters. Machine learning has the ability to unravel fundamental relationships between complex parameters and predict the possible outcomes; thus, it can potentially reveal the nature of zeolite synthesis. This mini review highlights the current use of machine learning to comprehend the black box issue in zeolite synthesis. Conventional syntheses of zeolite were also elaborated to showcase the gap between traditional methods and machine learning approaches in zeolite synthesis. The future prospects of machine learning applications in zeolite synthesis are also discussed. This mini-review may bring crucial insights on the zeolite synthesis process.
PENINGKATAN KOMPETENSI LITERASI DATA GURU DALAM PEMBUATAN KARYA ILMIAH DAN INSTRUMEN BERBASIS HOTS DI SMA NEGERI 1 BATANG KUIS Umar, Andi Taufiq; Hidayat, Nasrullah; M, Nur Hudayah; Setiawan, Anugrah; Mardiana, St
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 4 (2025): Volume 6 No 4 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i4.48788

Abstract

Program ini bertujuan untuk meningkatkan kompetensi literasi data dan kemampuan pembuatan karya ilmiah serta instrumen berbasis HOTS (High Order Thinking Skills) bagi semua guru di SMA Negeri 1 Batang Kuis. Masalah yang teridentifikasi adalah rendahnya kemampuan guru dalam menggunakan data hasil belajar untuk menyusun karya ilmiah dan instrumen evaluasi yang mampu merangsang keterampilan berpikir tingkat tinggi siswa. Ada 5 tahapan dalam pelaksanaan program ini yaitu sosialisasi, pelatihan, penerapan teknologi, pendampingan dan evaluasi, serta keberlanjutan program. Proses pelatihan dilakukan secara intensif yang melibatkan teori dan praktik dengan pendekatan partisipatif yang memungkinkan guru berinteraksi langsung dengan semua partisipan. Hasil penelitian menunjukkan bahwa pelatihan ini berhasil meningkatkan pemahaman dan keterampilan guru dalam mengolah data untuk perencanaan pembelajaran, menyusun karya ilmiah berbasis data, serta merancang instrumen evaluasi berbasis HOTS yang mendorong siswa untuk berpikir kritis dan kreatif. Hal ini terlihat dari adanya peningkatan presentase sebesar 52,86% dan 45% dari hasil evaluasi pre-test dan post-test guru terkait pemahaman dan pengetahuan dalam pembuatan karya ilmiah dan instrumen berbasis HOTS. Hasil ini menjadi penting sebagai referensi model kegiatan yang bisa dikembangkan dan diterapkan pada program lain dengan tujuan yang relatif sama di seluruh instansi pendidikan yang ada di Indonesia
Effect of Solvent Polarity on Extraction Yield, Phytochemical Composition, and Antioxidant Activity of Curcuma xanthorrhiza Roxb. and Moringa oleifera Lam. Azzahra, Vina Octavia; Mardiana, St; Suharyadi, Suharyadi; Sianipar, Rini Juita; Ramadhan, Dwi Sapri
Biology, Medicine, & Natural Product Chemistry Vol 14, No 2 (2025)
Publisher : Sunan Kalijaga State Islamic University & Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/biomedich.2025.142.%p

Abstract

The present study investigated the effect of solvent polarity on extraction yield, phytochemical composition, and antioxidant activity of Curcuma xanthorrhiza Roxb. rhizomes and Moringa oleifera Lam. leaves. Maceration was carried out using ethanol, acetone, ethyl acetate, and n-hexane for 72 hours (1:10 w/v). Extraction yield, total phenolic content (TPC), total flavonoid content (TFC), and DPPH radical scavenging activity were determined. Results demonstrated a clear polarity-dependent trend. Ethanol yielded the highest extract recovery for both species (17.55 ± 0.97% and 22.93 ± 0.65%), while n-hexane showed the lowest yield. Ethanol extracts exhibited the greatest TPC and TFC values, 47.12 mg GAE/g and 6.76 mg QE/g for C. xanthorrhiza, and 25.91 mg GAE/g and 4.67 mg QE/g for M. oleifera, respectively. Correspondingly, ethanol fractions displayed the strongest antioxidant activity with IC50 values of 22.70 and 29.80 mg/mL, indicating an inverse correlation between phenolic load and radical scavenging capacity. The study confirms that solvent polarity is a critical determinant of phytochemical recovery and antioxidant potency. The novelty of this work lies in the first comparative evaluation of C. xanthorrhiza and M. oleifera extracted under identical solvent systems, providing a rational framework for solvent selection in phytopharmaceutical and nutraceutical applications. Further work should isolate and characterize the active antioxidant constituents from the most potent extracts.
Co-Authors Andi Taufiq Umar Azzahra, Vina Octavia Edi Suharyadi Fajar, Adroit T. N. I Made ARCANA Ismunandar Kadja, Grandprix T. M. M, Nur Hudayah Nasrullah Hidayat, Nasrullah Ramadhan, Dwi Sapri S. F. Nanda, Arxhel Setiawan, Anugrah Sianipar, Rini Juita