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All Journal Indonesian Journal of Jamu International Journal of Contextual Science Education
Sri Adelia Sari
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Education Health Professions Medicine & Pharmacology Other

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Phytochemical analysis and Antibacterial Activity of Acetone Extract of Secang (Caesalpinia sappan L) Juwitaningsih, Tita; Sri Adelia Sari; Iis Siti Jahro; Neneng Windayani
Jurnal Jamu Indonesia Vol. 6 No. 2 (2021): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v6i2.209

Abstract

In North Sumatra, the stem of the secang (Caesalpinia Sappan L) has been used in traditional medicine. This study aimed to conduct phytochemical analysis of the acetone extract of C. sappan and determine its antibacterial potency. Phytochemical test using 1H-NMR spectroscopy method andantibacterial activity were carried out on six pathogenic bacteria, including paper disc diffusion tests, determination of the minimum inhibitory concentration (MIC) using the microdilution method, and minimum bactericidal concentration (MBC). Based on 1H-NMR spectroscopic data, the acetone stem extract of C. Sappan L contains flavonoids and terpenoids and has activity against all tested bacteria with an inhibition zone in the range of 6.20 ± 0.53 - 10.93 ± 2.55 mm, MIC 312 - 5000 µg / mL and MBC 625-> 5000 µg / mL. The acetone extract of C. sappan showed the best activity against S. aureus ATCC 25923 with a MIC of 312 µg / mL. C. sappan L is a potential source of new antibacterial compounds.
Kecerdasan Buatan untuk Pengajaran dan Pembelajaran Fisika Komputasi: Tinjauan Mutakhir tentang Tren, Tantangan, dan Arah Masa Depan Muhammad Taufik; A Wahab Jufri; Sri Adelia Sari; Ahmad Harjono
International Journal of Contextual Science Education Vol. 3 No. 4 (2025): October - December 2025
Publisher : Postgraduate Program, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ijcse.v3i4.1434

Abstract

Artificial intelligence (AI) has recently been recognized as playing an increasingly strategic role in computational physics education, notably with respect to the current strong focus on developing students’ ability to comprehend and apply computational modeling, data simulation, and problem solving within modern physics curriculums. This paper presents a state- of-the-art narrative review on the integration of AI in computational physics and related educational contexts, considering research from 2019 to date. The review discusses prominent AI technologies, pedagogical integration strategies and their documented effects on computational thinking, numerical modeling and student engagement. The synthesis also suggests that AI enhanced learning environments can support personalized feedback, adaptive assessment and flexible learning pathways in order to promote students‟ engagement and computational reasoning of physics learning. Meanwhile, the literature also shows ongoing challenges: ethical and equity issues; algorithmic bias; lack of instructor preparation for OAI pedagogies; and shortage of longitudinal empirical evidence in computational physics education. Through summarizing prevailing research trends and framing a set of important constraints, this review is intended to serve as a conceptual blueprint for an expanded research agenda towards the systematic, responsible, and pedagogically informed inclusion of AI in computational physics education
Co-Authors A Wahab Jufri Ahmad Harjono Iis Siti Jahro Juwitaningsih, Tita Muhammad Taufik Windayani, Neneng