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Rahmad Abdillah
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Science, Technology, and Communication Journal
Published by Lembaga Studi Pendidikan and Rekayasa Alam Riau
ISSN : -     EISSN : 27748782     DOI : https://doi.org/10.59190/stc
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology
Sintechcom is a periodical publication that publishes scientific articles on research results in the fields of Basic Science, Engineering, and Telecommunications. Scopes of journal are: Chemistry and Chemical Engineering; Physics, Material Sciences, and Mechanical Engineering; Biology, Biological and Bio System Engineering; Food and Agriculture Engineering; Statistics and Mathematics; Computer Science and Computational Science; Earth Science and Engineering; Space Engineering; Electrical Engineering; Environmental Science and Soil Science; Telecommunication; Electronic and Optic Communication; Image Processing, Computer Vision and Pattern Recognition ; Energy Conservation and Renewable Energy; Information System and Artificial Intelligence.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 122 Documents
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Decision support system for VARK learning style recommendation using AHP and SAW methods Mutsrin Alim; Yelfi Vitriani; Okfalisa Okfalisa; Lestari Handayani; Muhammad Affandes
Science, Technology, and Communication Journal Vol. 6 No. 3 (2026): SINTECHCOM Journal (June 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i3.403

Abstract

To establish an objective mechanism for recommending tailored educational approaches, this research focuses on the architectural design of a DSS grounded in the VARK framework, which classifies preferences into visual, auditory, textual, and physical modalities. The operational framework combines AHP and SAW to eliminate subjectivity from the evaluation process. While the extraction of criteria importance factors relied on AHP, utilizing qualitative insights from a psychometrics expert in the field of psychology, the subsequent prioritization of pedagogical options was executed via SAW. Four core dimensions formed the basis of this evaluation, specifically focusing on how individuals perceive stimuli, process information, select instructional materials, and adapt to environmental settings. The initial matrix derivation yielded uniform importance coefficients of 0.25 across all dimensions, supported by a CR of 0 to verify the logical coherence of the expert input. Structurally, the platform was deployed as a responsive web system powered by the Laravel architecture and backed by a MySQL database engine. To confirm computational integrity, the algorithmic outputs generated by the software were audited against traditional manual calculations, resulting in a perfect mathematical alignment. Consequently, the empirical evidence confirms that the engineered DSS offers a precise diagnostic tool, thereby enabling learners to discover optimal educational pathways that correspond directly with their psychological profiles.
Phyto mediated of SnO2 nanoparticles using Pandanus amaryllifolius extract for photocatalytic degradation of methylene blue Yanuar Yanuar; Tengku Emrinaldi; Rahmi Dewi; Lazuardi Lazuardi
Science, Technology, and Communication Journal Vol. 6 No. 3 (2026): SINTECHCOM Journal (June 2026)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i3.413

Abstract

The development of environmentally friendly photocatalysts is crucial for the remediation of persistent textile dyes. This study reports a novel and simple green synthesis of ultrafine tin oxide (SnO2) nanoparticles by utilising Pandanus amaryllifolius leaf extract as a bioreductor and dual function capping agent, thereby eliminating the need for toxic chemicals and high energy calcination. Comprehensive characterisation confirmed the formation of a pure tetragonal rutile phase with ultrafine crystallite sizes of 4 – 5 nm. Importantly, surface interactions mediated by phytochemicals intrinsically engineer the optical band gap to 3.50 eV, much narrower than bulk SnO2 through the formation of defect states and mid-gap states, enhancing responsiveness to visible light. The photocatalytic efficacy was evaluated under challenging conditions using a high initial concentration of Methylene Blue (MB) (100 ppm). Green synthesised SnO2 nanoparticles exhibited robust degradation performance, achieving a removal rate of 66.5% within 120 minutes. Kinetic analysis reveals a characteristic two stage pseudo first order behaviour, indicating a transition from the initial induction phase to the formation of reactive oxygen species at steady state. This research provides new insights into the engineering of semiconductor defects mediated by phytochemicals and offers highly scalable sustainable nanomaterial strategies that align with green chemistry principles for industrial wastewater treatment.

Page 13 of 13 | Total Record : 122

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