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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 Desimal: Jurnal Matematika 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 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 Social Sciences Other

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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.
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.
Airflow vibration of diaphragmatic breathing: model and demonstration using optical biosensor Toto Saktioto; Defrianto Defrianto; Nurfi Hikma; Yan Soerbakti; Syamsudhuha Syamsudhuha; Dedi Irawan; Okfalisa Okfalisa; Bambang Widiyatmoko; Dwi Hanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 3: June 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i3.23613

Abstract

Optical fiber is increasingly popular and appreciated as a modern sensor technology in various sectors, one of which is for medical functions. This study was conducted to detect human diaphragmatic breathing flow using theoretical and experimental approaches. Initially, the lung model was formed using the finite element method and the Navier-Stokes equation by applying the principles of momentum and continuity. Furthermore, fiber Bragg grating (FBG) and single mode fiber (SMF) were experimentally designed with sinusoidal patterned macro-scale bending as a stretch sensor in a breathing belt applied to the diaphragm. The simulation model shows the airflow velocity increases up to 4 m/s when it flows into smaller branches. While the experimental results show that the largest power loss occurs at a buffer diameter of 0.8 cm. The power loss detected in SMF is a maximum of -0.18 dBm during inhalation and a minimum of -0.28 dBm during expiration. However, FBG bending is superior with high sensitivity.
Analisis Numerik Model Aliran Lapisan Batas dan Perpindahan Panas dari Nanofluida NEPCMPL Leli Deswita; Syamsudhuha Syamsudhuha; Rustam Rustam; Asral Asral; Refi Revina; Habibis Saleh
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.
PCA-Enhanced Machine Learning Framework for Child Stunting Prediction Using Household and Socioeconomic Factors Ria Indah Sari; Adnan, Arisman; Syamsudhuha, Syamsudhuha
Desimal: Jurnal Matematika Vol. 9 No. 2 (2026): Desimal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v9i2.32027

Abstract

Childhood stunting continues to pose a major public health concern because its underlying determinants arise from complex household and socioeconomic interactions that are difficult to capture using conventional analytical approaches. Although machine-learning techniques have shown considerable potential for health prediction, limited attention has been given to understanding how different levels of dimensionality reduction influence classifier performance when analysing high-dimensional survey data. Addressing this gap, this study developed a Principal Component Analysis (PCA)-enhanced machine-learning framework for childhood stunting prediction using secondary data from the 2023 Indonesian Ministry of Health survey in Riau Province. Following preprocessing, 2,976 valid observations with 16 predictor variables were transformed into 117 numerical features, after which PCA generated three feature representations retaining 89.30%, 94.28%, and 98.44% of the total variance. Twelve supervised machine-learning algorithms were subsequently evaluated using precision, recall, F1-score, and area under the receiver operating characteristic curve (AUC). The empirical results demonstrated that preserving a greater proportion of variance improved predictive performance across most classifiers. Among all evaluated models, K-Nearest Neighbours combined with 45 principal components achieved the strongest overall performance, yielding a precision of 0.710, recall of 0.771, F1-score of 0.739, and AUC of 0.809. These findings provide empirical evidence that integrating PCA with machine-learning algorithms offers a reproducible and computationally efficient framework for supporting evidence-based nutritional surveillance and advancing data-driven childhood stunting prediction.
Co-Authors Afrianto Daud Ahmad Jamaan Andika Thoibah Anggraini, Wresni Anita, Sofia Anne Mudya Yolanda Arisman Adnan Asral, Asral Ayunda Putri Bambang Widiyatmoko Basdyo, Doni Budi Astuti Dadang Syarif Sihabudin Sahid Dedi Irawan Dedi Irawan Defrianto Defrianto Dian Putri Oktavia, Dian Putri Divo Dharma Silalahi Doni Basdyo Dwi Hanto Dwi Hanto Erman Taer Gustriza Erda Habibis Saleh Haryana Hairi Haryana Hairi Ibnu Daqiqil ID 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 Nurfi Hikma Nurhayati, Nurhayati Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa Okfalisa, Okfalisa Putri, Ayuni Rahmad Kurniawan Rahmondia Nanda Setiadi REFI REVINA Ria Indah Sari 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 Soerbakti, Yan Sri Gemawati T, Masrina Munawarah Tengku Emrinaldi Titi Solfitri Vepy Asyana Wahyu Candra Wresni Anggraini Yan Soerbakti Yan Soerbakti Yan Soerbakti Yanti Andriyani Yennita Y Yolanda Rati Yoli Zairmi Z Bahri Zairmi, Yoli