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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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Simplified Kinetic Model of Heart Pressure for Human Dynamical Blood Flow Saktioto Saktioto; Defrianto Defrianto; Andika Thoibah; Yan Soerbakti; Romi Fadli Syahputra; Syamsudhuha Syamsudhuha; Dedi Irawan; Haryana Hairi; Okfalisa Okfalisa; Rina Amelia
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 11, No 3: September 2023
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v11i3.3473

Abstract

The blood flow that carries various particles results in disturbed physical flow in the heart organ caused by speed, density, and pressure. This phenomenon is complicated resulting in a wide variety of medical problems. This research provides a mathematical technique and numerical experiment for a straightforward solution to cardiac blood flow to arteries. Finite element analysis (FEA) is used to study and construct mathematical models for human blood flow through arterial branches. Furthermore, FEA is used to simulate the steady two-dimensional flow of viscous fluids across various geometries. The results showed that the blood flow in the carotid artery branching is simulated after the velocity profiles obtained are plotted against the experimental design. The computational method's validity is evaluated by comparing the numerical experiment with the analytical results of various functions.
Effectiveness of adding ZnO thin films to metamaterial structures as sensors Saktioto Saktioto; Yan Soerbakti; Ari Sulistyo Rini; Budi Astuti; Erman Taer; Rahmondia Nanda Setiadi; Syamsudhuha Syamsudhuha; Sofia Anita; Yolanda Rati
Indonesian Physics Communication Vol 21, No 1 (2024)
Publisher : Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jkfi.21.1.13-24

Abstract

Metamaterials are artificial materials with the characteristics of a negative refractive index and high resonance sensitivity. Advanced engineering in metamaterials can realize great potential in combination with zinc oxide (ZnO) semiconductor materials, which can increase the efficiency of sensor technology compared to other conventional material models. This research aims to investigate the optical properties and develop an invention for a hybrid sensor media based on a split ring resonator (SRR) metamaterial structure integrated with a thin layer of ZnO. The research methodology was carried out by simulation by designing and characterizing SRR metamaterials which were designed with variations in SRR patterns, geometry, substrate materials, unit cell configurations, and variations in the thickness of the ZnO thin layer. Geometry characterization of SRR metamaterials was carried out using the Nicolson-Ross-Weir electromagnetic (EM) field function approach, specifically the optical parameters permittivity, permeability, and refractive index. They are optimizing the performance of hybrid sensor components based on metamaterials and ZnO thin films using the GHz scale EM field function approach, especially in the reflection, transmission, and absorption spectrum. Analysis of metamaterial characteristics identifies the optical properties of permittivity, permeability, and negative refractive index which are increased and optimized from the thin layer integration model 200 nm thick ZnO in the SRR metamaterial structure with a 3×3 square pattern configuration at a resonance frequency of 1.889 GHz. The performance of the hybrid sensor media provides a resonant frequency of three equal bandwidths in the frequency range 2.89 – 3.52, 5.28 – 6.54, and 7.57 – 8.46 GHz. In addition, the highest absorption spectrum of 73% is at a frequency of ~8 GHz.
Sentiment analysis of student evaluation feedback using transformer-based language models Daqiqil ID, Ibnu; Saputra, Hendy; Syamsudhuha, Syamsudhuha; Kurniawan, Rahmad; Andriyani, Yanti
Indonesian Journal of Electrical Engineering and Computer Science Vol 36, No 2: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v36.i2.pp1127-1139

Abstract

This paper proposes an approach to sentiment analysis of student evaluation feedback using transformer-based language models. The primary objective of this study is to conduct an in-depth analysis of sentiment expressed in student evaluation feedback, with a focus on introducing contextual understanding into the sentiment classification process. In this research, four different variants of transformer language models were assessed, namely multilingual bidirectional encoder representations from transformers (MBERT), IndoBERT, RoBERTa Indonesia, and generative pre-trained transformer (GPT-2 Indonesia). Additionally, we also compared the performance of transformer models with two traditional models, namely support vector machine (SVM) and Naive Bayes (NB). The evaluation was conducted using feedback data collected from the Evaluasi Dosen oleh Mahasiswa (EDOM) system at Riau University, which had been categorized as either positive or negative. The outcomes indicate that IndoBERT base uncased exhibits the highest performance, with precision, accuracy, and recall values of 0.858, 0.929, and 0.911, respectively. This observation highlights the effectiveness of transformer-based language models in sentiment analysis of student evaluation feedback and provides insights for improving educational assessment practices.
Metode Robust K-Fold Cross Validation dengan Partial Least Square Regression pada Data Near Infrared Spectroscopy Sibuea, Nuraini; Syamsudhuha, Syamsudhuha; Adnan, Arisman
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

Penelitian ini mengevaluasi performa model Partial Least Square Regression (PLSR) dalam kondisi data dengan dan tanpa outlier. Penanganan data yang mengandung outlier digunakan metode k-fold cross validation yang diaplikasikan pada data Near Infrared Spectroscopy (NIRS) tanah perkebunan kelapa sawit terhadap pupuk nitrogen (N). Sebelum pengolahan data dilakukan terlebih dahulu pretreatment data untuk menghilangkan efek hamburan data dengan Standardized Normal Variate (SNV). Identifikasi outlier dilakukan dengan metode RBF Kernel PCA menghasilkan data yang termasuk outlier yaitu data ke 7, 8, 92, 93, dan 95. Hasil analisis menunjukkan bahwa keberadaan outlier secara signifikan menurunkan performa PLSR klasik dengan penurunan nilai R2 dan peningkatan nilai RMSE. Penerapan k-fold cross validation pada PLSR mampu meningkatkan robustitas model terhadap outlier dengan peningkatan nilai R2 meskipun sedikit peningkatan pada RMSE. Disimpulkan bahwa k-fold cross validation lebih efektif dalam menangani data set yang mengandung outlier sehingga memberikan prediktabilitas yang lebih stabil dibandingkan PLSR klasik.
Analisis Vector Autoregressive (VAR) pada Jumlah Wisatawan dan Produk Domestik Regional Bruto (PDRB) Khairunnisa, Siska; Adnan, Arisman; Syamsudhuha, Syamsudhuha
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

Penelitian ini bertujuan untuk menganalisis dan melakukan peramalan terhadap jumlah wisatawan dan Produk Domestik Regional Bruto (PDRB) Provinsi Bali Tahun 2010-2023 dalam data Triwulan. Penelitian ini menggunakan metode Vector Autoregressive (VAR). Hasilnya, diperoleh bahwa Jumlah Wisatawan dan PDRB tidak memiliki hubungan yang saling mempengaruhi. Model VAR terbaik menggunakan kelambanan (lag) 3 dengan nilai AIC terkecil yaitu 2332.143. Model tersebut kemudian dipakai untuk melakukan peramalan tahun berikutnya selama 4 periode Triwulan. Hasil peramalan menunjukkan Jumlah Wisatawan di Provinsi Bali selama 4 periode di tahun 2024 mengalami fluktuasi yang cukup signifikan dengan rata-rata 12846.325 sedangkan nilai PDRB ADHK di Provinsi Bali selama 4 periode di tahun 2024 juga mengalami fluktuasi yang cukup signifikan dengan rata-rata sebesar -38.2675.
Pre-treatment Spectral Data NIRS Menggunakan Support Vector Regression Khairunnissa, Khairunnissa; Adnan, Arisman; Syamsudhuha, Syamsudhuha
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2024: SNTIKI 16
Publisher : UIN Sultan Syarif Kasim Riau

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Abstract

Potassium content is an important component in oil palm plantation soil. The utilization of Near Infrared Sprctroscopy (NIRS) is an alternative that could replace laboratory test in order to analyze and provide information about measurement of potassium fertilizer content in oil palm soil. . This study aims to examine and evaluate NIRS technology as a faster and proper method in predicting rice moisture content by  Support Vector Regression (SVR) method and determining the best and accurate spectrum correction method to predict rice water content using Standard Normal Variate (SNV) pretreatment Multiplicative Spectral Correction (MSC) and  combination of both. This study used 100 soil samples with a wavelength of 350nm - 2500nm. Data processing using R software®  version 4.4.1. The results showed the prediction of the radial basis kernel SVR method, produced the best correction method in this study, namely Multiplicative Spectral Correction with an R2 value of 0.6025 and an RMSE of 0.0201.
Penguatan Kapasitas Komunitas Statistika Bantar dalam Tata Kelola Data Desa untuk Pembangunan Berkelanjutan Adnan, Arisman; Yolanda, Anne Mudya; Erda, Gustriza; Syamsudhuha, Syamsudhuha; Indra, Zul; Solfitri, Titi; T, Masrina Munawarah
Unri Conference Series: Community Engagement Vol 6 (2024): Seminar Nasional Pemberdayaan Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/unricsce.6.640-645

Abstract

This activity aims to strengthen the capacity of the statistical community in Bantar Village in supporting the transformation and management of data for sustainable development. The program focuses on assisting village officials in effectively managing data at the village level, in line with the Desa Cantik initiative and Indonesia One Data (SDI) program. The goal is to improve data accuracy and the effectiveness of village development planning. As a result, the statistical community, which also includes village officials, has shown increased capabilities in managing sectoral statistics and digitalizing data integrated with the Desa Cantik program. The village officials actively participated in this assistance, supported by the provincial and district BPS, who acted as facilitators. BPS provided training, monitoring, evaluation, and assistance in the preparation of program materials and outputs. One of the key outputs of this program is the creation of an infographic summarizing the statistics and potential of Bantar Village, covering demographic profiles, population density, and key commodities. This infographic serves as a visual communication tool that supports data-driven development planning. The program successfully established a strong foundation for better data management, supporting sustainable village development.
Derivasi di Pseudo BG-aljabar Putri, Ayuni; Gemawati, Sri; Syamsudhuha, Syamsudhuha
Jambura Journal of Mathematics Vol 7, No 1: February 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i1.28306

Abstract

A BG-algebra  is defined as a non-empty set  that includes a constant 0 and a binary operation  which adheres to the following axioms: (𝐵G1) , (𝐵G2) , and (𝐵G3)  for all . Pseudo BG-algebra is a generalization of BG-algebra, which is an algebra  that satisfies the following axioms: (pBG1) , (pBG2) , and (pBG3)  for all . In BG-algebra introduced an (l, r)-derivation, an (r, l)-derivation, and left derivation. This article aims to discuss and develop the concept of derivations in pseudo BG-algebras by introducing two new operations,  and , within the structure of pseudo BG-algebra . These operations are defined as  and  for each . In this research, the  operation in BG-algebra derivations replaced with the  and  operations under certain conditions, leading to the formulation of new types of derivations. Through this approach, three main types of derivations in pseudo BG-algebras are identified: (l, r)-derivation, (r, l)-derivation, and left derivation of type 1 and type 2. The results reveal several significant properties, including a formula for , the role of the special element 0, regularity in derivations, and the relationship between regular derivations and  as the identity function. This study contributes to advancing the theory of pseudo BG-algebras and its potential applications in other algebraic structures.
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.
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 Daqiqil Id, Ibnu 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 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