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Sofia Anita
Department of Chemistry, Universitas Riau, Pekanbaru 28293, Indonesia
Computer Science & IT Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Design and optimization of square SRR metamaterial-based microstrip antenna for wideband biomedical sensing Saktioto Saktioto; Cici Yana Tasya Angraini; Yan Soerbakti; Ari Sulistyo Rini; Syamsudhuha Syamsudhuha; Sofia Anita
Science, Technology, and Communication Journal Vol. 6 No. 1 (2025): SINTECHCOM Journal (October 2025)
Publisher : Lembaga Studi Pendidikan dan Rekayasa Alam Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59190/stc.v6i1.331

Abstract

The continuous advancement in wireless biomedical technology necessitates the development of compact, high-performance antennas capable of operating across a wide frequency range. In this context, this study reports the design and optimization of a square split-ring resonator (SRR) metamaterial-based microstrip antenna to enhance bandwidth and gain characteristics for wideband biomedical sensing. The proposed metamaterial, composed of one to four square SRR unit cells, was modeled using copper patches on an FR-4 substrate with a dielectric constant of 4.3 and simulated in CST Studio Suite 2019 over a frequency range of 0.009 – 9 GHz. The electromagnetic behavior of the structure was analyzed through S-parameter characterization, and the Nicolson–Ross–Weir (NRW) retrieval method was applied to extract the effective constitutive parameters, including relative permittivity, relative permeability, and refractive index. The optimized four-cell SRR configuration demonstrated double-negative (DNG) characteristics, exhibiting a relative permittivity of -153.65, a relative permeability of -8.85, and a refractive index of -9.48, thereby confirming the negative-index properties essential for enhanced electromagnetic field confinement and energy concentration. Integration of the optimized metamaterial into the microstrip antenna structure yielded significant performance improvement, achieving a return loss of -48.31 dB, bandwidth of 4.37 GHz, and gain of 2.23 dBi. These results substantiate that the square SRR metamaterial contributes to superior impedance matching and field localization, making the proposed antenna architecture highly promising for wideband biomedical sensing and potential internet of things (IoT) healthcare implementations.
Adsorption of lead (II) ions using NaOH-activated matoa fruit shell (Pometia pinnata): Characterization and adsorption kinetics Fadhil Maulana Harahap; T Abu Hanifah; Sofia Anita
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.v6i3.382

Abstract

This study focuses on the utilization of matoa fruit shell waste, which contains cellulose, as a potential biosorbent for binding heavy metals in solution. The study aims to examine the ability of matoa fruit shell powder (Pometia pinnata) as a biosorbent in removing lead (II) ions from solution and to analyze adsorption characteristics through kinetic studies. The research methods included biosorbent activation using NaOH at activation ratios of 1:1, 1:2, 1:3, 1:4, and 1:5 (w/v). The adsorption process was conducted with variations in parameters, including biosorbent dose, pH, and contact time. Characterization was performed using FTIR to determine functional groups, SEM-EDS to examine surface morphology and elemental composition, and ICP-OES to determine lead concentration in the solution. Kinetic analysis employed first-order pseudo-kinetic, second-order pseudo-kinetic, and intraparticle diffusion models. FTIR analysis results indicated the involvement of hydroxyl (-OH) and carboxyl (-COO-) groups in the lead (II) ion binding process. The results of the study indicate that optimal adsorption conditions were achieved at a dose of 0.05 grams, a pH of 6, and a contact time of 60 minutes, with an adsorption efficiency of 90.76% and an adsorption capacity of 27.59 mg/g. The most suitable kinetic model was the pseudo-second-order model (R2 = 0.9999), indicating a chemisorption mechanism.
Co-Authors Cici Yana Tasya Angraini Fadhil Maulana Harahap Rini, Ari Sulistyo Saktioto Saktioto Syamsudhuha Syamsudhuha T Abu Hanifah Yan Soerbakti