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All Journal Journal of Education and Learning (EduLearn) Vision: Journal for Language and Foreign Language Learning Bahasa: Jurnal Keilmuan Pendidikan Bahasa dan Sastra Indonesia Journal of English Language Teaching Innovations and Materials (Jeltim) Getsempena English Education Journal JSMARTech : Journal of Smart Bioprospecting and Technology ENGLISH FRANCA : Academic Journal of English Language and Education Journal of Pragmatics and Discourse Research Koli Journal: English Language Education
Abdullah, Fuad
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Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Education Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Social Sciences Other

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In Silico Approach of Predicting The Interaction of Epigallocatechin-3 Gallate and Chlorogenic Acid on E47 and THOC5 in Macrophage Differentiation Rohman, Mohammad Saifur; Izzatur Rochmah, Evalina; Abdullah, Fuad; Alvianoes Guterez Hose, Victor
JSMARTech: Journal of Smart Bioprospecting and Technology Vol. 7 No. 1 (2026): JSMARTech Volume 7, No 1, 2026
Publisher : JSMARTech

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jsmartech.2026.007.01.24

Abstract

Diabetes mellitus is a metabolic disease characterized by chronic hyperglycemia and glucose intolerance. Vascular hyperglycemia triggers the release of inflammatory mediators, which can increase monocyte differentiation into macrophages. Compounds such as epigallocatechin-3 gallate (EGCG) from green tea and chlorogenic acid (CGA) from green coffee are known to have anti-inflammatory effects. This study aimed to analyze the effect of EGCG and CGA on macrophage differentiation markers by assessing their binding activity with THOC5 and E47 proteins. An in silico assessment was conducted using metformin, which is widely used as a first-line antidiabetic drug, as the control ligand. Pharmacokinetic and drug-likeliness predictions were carried out. Additionally, molecular docking and molecular dynamics analysis were performed on the active residues of the proteins to assess the binding affinity and complex stability. The results obtained demonstrate that the binding affinity energy of EGCG and CGA to THOC5 and E47 was more favorable than that of metformin, yet their bioavailability value was poor. Molecular dynamics simulation showed that EGCG had a more stable complex compared to CGA and metformin. In conclusion, EGCG and CGA could potentially be effective as anti-inflammatory agents in diabetes mellitus.
Learners’ metacognitive strategies amid machine translation post-editing practices: An Indonesian EFL context Tandiana, Soni Tantan; Abdullah, Fuad; Andriani, Agis; Rosmala, Dewi; Maakafi, Noha; Hikmatullah, Nanak
Journal of English Language Teaching Innovations and Materials (Jeltim) Vol. 8 No. 1 (2026): Vol 8(1)
Publisher : UPT Bahasa Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jeltim.v8i1.100844

Abstract

The rapid advancement of information, communication and technology (ICT) has revolutionised translation from translating from scratch (TfS) to machine translation (MT). However, little research has been addressed on how learners apply metacognitive strategies while performing Machine Translation Post-editing (MTPE). As a result, this study was intended to fill this void. Five learners of the English Education Department were involved as investigative participants. The data were gathered through Zoom-mediated Think Aloud Protocols (TAP) as audiovisual recordings of the think-aloud activities, transcript of TAP results and the input event loggings. They were analysed using Arndt's categories of ESL writing strategies, which covered planning, global planning, rehearsing, repeating, rereading, questioning, revising, and editing (Arndt, 1987; Mu, 2005). The findings reported that the learners adopted relatively similar metacognitive strategies while practising MTPE both in English-Indonesian output and Indonesian-English output, except for global planning. In particular, they applied editing (44,2%), rereading (24,1%), repeating (14%), rehearsing (10,4%), questioning (7,1%), revising (0,9%), and planning (0,3%). Given these facts, metacognitive strategies in MTPE practices allow learners to produce more accurate and contextual translation output generated by MTs (e.g. Google Translate, DeepL etc.) and foster high-order thinking skills, self-regulatory strategies and motivation.
Co-Authors Alvianoes Guterez Hose, Victor Amanda, Fauziah Andriani, Agis Anwar, Dede Anwari, M. Rifqi Romdoni Bahren Umar Siregar Dewi Rosmala, Dewi Fera Sulastri, Fera Hidayati, Arini Nurul Hikmatullah, Nanak Izzatur Rochmah, Evalina Maakafi, Noha Melisa Sri, Melisa Mohammad Saifur Rohman Nurhaedin, Enjang Pertamana, Dede Ramalia, Tenia Rianti, Ade Saputra, Yuyus Syafira, Noer Aini Nanda Syakira, Sitti Tandiana, Soni Tantan Widia Yunita, Widia Yanuar, Reza