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All Journal Komunikasi Fisika Indonesia TELKOMNIKA (Telecommunication Computing Electronics and Control) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of the Indonesian Mathematical Society Jurnal Sains Matematika dan Statistika Proceeding of the Electrical Engineering Computer Science and Informatics Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jambura Journal of Mathematics JURNAL MATHEMATIC PAEDAGOGIC INSIST (International Series on Interdisciplinary Research) Indonesian Journal of Electrical Engineering and Computer Science Unri Conference Series: Community Engagement Pattimura Proceeding : Conference of Science and Technology Science, Technology, and Communication Journal Journal of Mathematics, Computation and Statistics (JMATHCOS)
Syamsudhuha Syamsudhuha
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Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Other

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Robust Method with Cross-Validation in Partial Least Square Regression Sibuea, Nuraini; Syamsudhuha, Syamsudhuha; Adnan, Arisman; Silalahi, Divo Dharma
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.4766

Abstract

Partial Least Squares Regression (PLSR) is a multivariate analysis technique used to handle data with highly correlated predictor variables or when the number of predictor variables exceeds the number of samples. PLSR is not robust to outliers, which can disrupt the stability and accuracy of the model. Cross-validation is an important approach to improve model reliability, particularly in data that contains outliers. This study aims to evaluate the effectiveness of K-fold cross-validation and nested cross-validation in a PLSR model using NIRS data from oil palm plantation soil that contains outliers. The methods used in this study include outlier identification using RBF kernel PCA, followed by the application of K-fold cross-validation and nested cross-validation in the PLSR model. The evaluation is based on the Root Mean Square Error (RMSE) and the Coefficient of Determination (R²). The results show that nested cross-validation performs better than K-fold cross-validation. Nested cross-validation results in lower RMSE and higher R², both with and without outliers. K-fold cross-validation is more susceptible to overfitting, whereas nested cross-validation is more effective in mitigating the impact of outliers and improving model accuracy. The conclusion of this study is that nested cross-validation outperforms K-fold cross-validation in improving prediction accuracy and the stability of the PLSR model, especially in data containing outliers. It is recommended to use nested cross-
Exploration of Analyte Electrolyticity Using Multi-SRR-Hexagonal DNG Metamaterials and ZnO Thin Films Defrianto, Defrianto; Saktioto, Saktioto; Rini, Ari Sulistyo; Syamsudhuha, Syamsudhuha; Anita, Sofia; Soerbakti, Yan
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 13, No 2: June 2025
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v13i2.6085

Abstract

Advanced engineered metamaterials (MTMs) significantly contribute to modern technological advancements, particularly through hybridization with semiconductor materials like zinc oxide (ZnO), which enhance sensor sensitivity and performance. This study aims to investigate the optical properties of hybrid MTMs and develop a novel sensor medium capable of detecting early electrolytic behaviors of analytes. Utilizing the finite-difference time-domain (FDTD) method, the sensor was designed, characterized, and integrated, featuring a hexagonal multi-cell split ring resonator (SRR) structure coated with a 200-nm ZnO thin film. The geometry of the SRR MTM was optimized using a modified Nicolson-Ross-Weir electromagnetic field function method. Results demonstrate that the MTM exhibits double-negative optical characteristics with a performance index reaching 102. Moreover, the sensor presents dual-band resonance frequencies for reflection and transmission attributed to the combination of the multi-SRR hexagonal design and ZnO coating, with an absorption peak at 8.71 GHz. Testing the sensor in varying electrolytic conditions, such as seawater, revealed a measurable reduction in resonance depth and increased sensitivity, characterized by a frequency shift of 5.25 MHz per 0.7 S/m increment in electrical conductivity. These findings highlight the MTM sensor's potential as an effective tool for enhancing spectrum readout accuracy and sensitivity in analyte detection applications.
Reflectivity of Bragg grating fiber on human respiration using InGaAs photodiode converter system Oktavia, Dian Putri; Saktioto, Saktioto; Hanto, Dwi; Syamsudhuha, Syamsudhuha; Amelia, Rina; Emrinaldi, Tengku
Indonesian Physics Communication Vol 22, No 2 (2025)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.22.2.175-178

Abstract

Respiration is a vital process characterized by exchanging oxygen and carbon dioxide. Indicators such as respiratory rate are essential for detecting pathological conditions, such as pneumonia and heart failure. This research aims to develop a respiratory sensor system based on fiber Bragg grating (FBG) as an innovative alternative in high electromagnetic field environments. The system utilizes FBG optical fibers to detect strain changes due to respiratory activity, providing a sensitive, safe, and highly electromagnetic environment-compatible solution. The study used FBG with variations in reflectivity of 30%, 50%, 70%, and 90%. FBGs are installed inside oxygen masks at five different points to monitor wavelength changes during respiratory activity. The measurement method involves an optical system with an interrogator and an electrical method using an InGaAs photodiode converter to convert an optical signal into an electrical signal visualized in LabVIEW. Respondents were tested in three activities: stillness, walking, and running. Variations in sensor reflectivity and position in masks were evaluated to determine sensitivity to respiratory changes. The data is collected as a graph of wavelength against time. The result showed that the change in the wavelength of the FBG correlated with the intensity of respiratory activity. The reflectivity of 90% results in the highest sensitivity, allowing for more accurate detection of strain changes. The position of the sensor at the center point of the mask demonstrates the most linear results, indicating optimal sensitivity. Physical activity, such as running, produces the greatest strain on the optical fiber. This study proves the potential of FBG as a precision medical sensor for respiratory monitoring applications.
Design and optimization of square SRR metamaterial-based microstrip antenna for wideband biomedical sensing Saktioto, Saktioto; Angraini, Cici Yana Tasya; Soerbakti, Yan; Rini, Ari Sulistyo; Syamsudhuha, Syamsudhuha; Anita, Sofia
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.
A NEW THREE- STEP DERIVATIVE FREE ITERATIVE METHOD AND ITS DYNAMICS Syamsudhuha, Syamsudhuha; Imran, M; Putri, Ayunda; Deswita, Leli; Amelia, Riski
Journal of the Indonesian Mathematical Society Vol. 30 No. 3 (2024): NOVEMBER
Publisher : IndoMS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22342/jims.30.3.1533.361-373

Abstract

A new free derivative iterative method is presented in this article. The method is developed by combining Newton’s method and Euler’s method. Deriva- tives in this method are approximated by forward difference, hyperbola and divided difference. The order of convergence is proven analytically to be of sixth order. Numerical results exhibit that the new method is comparable to other methods. Basins of attraction are also provided to support the proposed method.
Analisis Numerik Model Aliran Lapisan Batas dan Perpindahan Panas dari Nanofluida NEPCMPL Deswita, Leli; Syamsudhuha, Syamsudhuha; Rustam, Rustam; Asral, Asral; Revina, Refi; Saleh, Habibis
Jurnal Sains Matematika dan Statistika Vol 12, No 1 (2026): JSMS Januari 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v12i1.38260

Abstract

Penelitian ini memodelkan dan menganalisis aliran lapisan batas dan perpindahan panas nanofluida berbasis nano-encapsulated phase change material power-law (NEPCMPL) pada permukaan pelat yang meregang kontinu dengan suhu permukaan bervariasi. Model matematis dikembangkan menggunakan pendekatan hukum daya untuk menggambarkan karakteristik fluida non-Newtonian serta mekanisme penyimpanan panas laten yang terjadi selama transisi fasa partikel NEPCM. Persamaan tak berdimensi yang diperoleh diselesaikan secara numerik untuk mengevaluasi pengaruh indeks hukum daya, konsentrasi kapsul, dan suhu fusi terhadap distribusi kecepatan, suhu, rasio kapasitas panas, serta bilangan Nusselt. Hasil penelitian menunjukkan bahwa peningkatan konsentrasi kapsul mempercepat aliran, meningkatkan suhu sistem, serta memperluas wilayah transisi fase, dengan pengaruh yang paling dominan teramati pada fluida dilatan. Selain itu, laju perpindahan panas meningkat signifikan seiring penambahan konsentrasi kapsul, dengan peningkatan tertinggi pada nanofluida dilatan dibandingkan Newtonian maupun pseudo-plastik.
Co-Authors Afrianto Daud Afriastuti, Sherly Ahmad Jamaan Andika Thoibah Anggraini, Wresni Angraini, Cici Yana Tasya Anita, Sofia Anne Mudya Yolanda Arisman Adnan Asral, Asral Ayunda Putri Basdyo, Doni Budi Astuti Dadang Syarif Sihabudin Sahid Daqiqil Id, Ibnu Dedi Irawan Dedi Irawan Defrianto Defrianto Dian Putri Oktavia, Dian Putri Divo Dharma Silalahi Doni Basdyo Dwi Hanto Erman Taer Gustriza Erda Habibis Saleh Haryana Hairi Haryana Hairi Ihda Hasbiyati Indah Purnama Putri Indra, Zul Iswadi HR Juni Lesti Nengsih Khairunnisa, Siska Khairunnissa, Khairunnissa L Zakaria Leli Deswita M. D. H Gamal M. Imran Mirza Hardian Nurhayati, Nurhayati Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa, Okfalisa Putri, Ayuni Rahmad Kurniawan Rahmondia Nanda Setiadi REFI REVINA Rina Amelia Rina Amelia Rini, Ari Sulistyo Riska Yeni Riski Amelia, Riski Romi Fadli Syahputra Ros Meri Rustam Rustam S. P. Dewi Saktioto Saktioto Saktioto, Saktioto Saputra, Hendy Sibuea, Nuraini Siswanti, T. Fuja Soerbakti, Yan Soerbakti, Yan Sofia Anita Sri Gemawati T, Masrina Munawarah Tengku Emrinaldi Titi Solfitri Vepy Asyana Wahyu Candra Wresni Anggraini Yan Soerbakti Yan Soerbakti Yanti Andriyani Yennita Y Yolanda Rati Yoli Zairmi Z Bahri Zairmi, Yoli