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All Journal Jurnal Matematika Kontinu: Jurnal Penelitian Didaktik Matematika Telematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Matematika UNAND Vygotsky: Jurnal Pendidikan Matematika dan Matematika Square : Journal of Mathematics and Mathematics Education Journal of Fundamental Mathematics and Applications (JFMA) Bulletin of Applied Mathematics and Mathematics Education International Journal of Computing Science and Applied Mathematics-IJCSAM
Norasia, Yolanda
Universitas Islam Negeri Walisongo
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Transportation

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Laminar Viscous Fluid Flow with Micro-rotation Capabilities through Cylindrical Surface Norasia, Yolanda; Tafrikan, Mohamad; Ghani, Mohammad
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 4 (2022): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v6i4.9158

Abstract

Viscous fluid can micro-rotate due to collisions between particles that affect viscous fluid's velocity and temperature.This study aims to determine the effect of viscosity parameters, micro-rotation materials, and heat sources on fluid velocity and temperature. The model of the laminar flow equation for viscous fluid in this study uses the laws of physics, namely, the law of conservation of mass, Newton II, and Thermodynamics I. The formed dimensional equations are converted into non-dimensional equations by using non-dimensional variables. Then, the non-dimensional equations are converted into similarity equations using stream function and similarity variables. The formed similarity equation was solved numerically by using the Gauss-Seidel method. The results of this study indicate that the velocity and temperature of the viscous fluid flow can be influenced by the parameters of viscosity, micro-rotation material, and heat source. The presence of collisions between particles causes heat to cause an increase in the variance of viscosity parameters, micro-rotation materials, and heat sources. Therefore, the viscous fluid's velocity decreases and its temperature increases. 
Optimal Control of HIV-1 Spread in Combination with Nutritional Status and ARV-Treatment Yolanda Norasia; Zulaikha Zulaikha; Mohammad Ghani; Denis Sospeter Mukama
(IJCSAM) International Journal of Computing Science and Applied Mathematics Vol. 8 No. 2 (2022)
Publisher : LPPM Institut Teknologi Sepuluh Nopember

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Abstract

HIV-1 is a virulent virus, it has the ability to easily spread the virus. This study aims to optimally control the spread of the HIV-1 virus with SIPA (Susceptible-Infection-PreAIDSAIDS) model by using nutritional status and ARV-treatment. Assessment of nutritional status is carried out on people with HIV/AIDS (ODHA). The results showed that the control in the form of nutritional status and ARV-treatment was able to reduce the infected subpopulation. Routine assessment of nutritional status can form balanced nutrition for ODHA. ARV-treatment works by reducing the amount of HIV viral load, so that HIV infection cannot cause disorders of the immune system.
The Effect of Nanoparticles on Drug Distribution in The Mathematical Model of Blood Flow Norasia, Yolanda; Nisa, Ajeng Oxa; Sumardi, Sitti Rosnafi'an
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 6 No. 1 (2024): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v6i1.966

Abstract

This research examines the influence of nanoparticles in the distribution of drugs in healthy blood flow on linear, angular velocity and blood temperature. Construction and simplification of a blood flow model based on boundary layer equations, dimensionless variables, stream functions, and similarity variables. The initial step is to establish a dimensional blood flow model. Using dimensionless variables, the equation is simplified into a dimensionless equation. A similarity equation is generated by converting the non-dimensional equation. The nanoparticles used are . At the linear velocity and temperature of blood flow  is in the highest position. At the angular velocity of blood flow, the position of blood flow with   nanoparticles is in the uppermost position. This research is used to estimate the velocity and temperature of blood flow with the influence of nanoparticles as drug distribution.
The Effect of Nanoparticles on Drug Distribution in The Mathematical Model of Blood Flow Yolanda Norasia; Ajeng Oxa Nisa; Sitti Rosnafi'an Sumardi
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 6 No. 1 (2024): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v6i1.966

Abstract

This research examines the influence of nanoparticles in the distribution of drugs in healthy blood flow on linear, angular velocity and blood temperature. Construction and simplification of a blood flow model based on boundary layer equations, dimensionless variables, stream functions, and similarity variables. The initial step is to establish a dimensional blood flow model. Using dimensionless variables, the equation is simplified into a dimensionless equation. A similarity equation is generated by converting the non-dimensional equation. The nanoparticles used are . At the linear velocity and temperature of blood flow  is in the highest position. At the angular velocity of blood flow, the position of blood flow with   nanoparticles is in the uppermost position. This research is used to estimate the velocity and temperature of blood flow with the influence of nanoparticles as drug distribution.
ALGEBRAIC LAWS AND PROPERTIES OF PICTURE FUZZY SETS Dinni Rahma Oktaviani; Muhammad Habiburrohman; Yolanda Norasia; Ainun Esti Candra
Jurnal Matematika UNAND Vol. 15 No. 2 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.2.150-162.2026

Abstract

This paper investigates the fundamental algebraic laws and properties that hold in the framework of Picture Fuzzy Sets (PFS). Picture fuzzy sets extend classical fuzzy and intuitionistic fuzzy sets by incorporating an additional degree of neutrality, providing a more refined representation of uncertainty. We examine the validity of standard algebraic laws such as commutativity, associativity, distributivity, and idempotency under picture fuzzy operations, and identify the conditions under which these laws are preserved. The study contributes to a deeper understanding of the algebraic behavior of PFS and forms a theoretical basis for their further applications in fuzzy decision-making and information processing.
Data assimilation for predicting the dynamics of acute respiratory infections using the ensemble Kalman filter Yolanda Norasia; Dinni Rahma Oktaviani; Aini Fitriyah; Devi Marita Putri
Bulletin of Applied Mathematics and Mathematics Education Vol. 6 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/bamme.v6i1.14695

Abstract

Acute respiratory infection (ARI) is one of the most pressing public health problems due to its high transmission rate and the potential to cause significant pressure on health services. This study applies the Ensemble Kalman Filter (EnKF) method to predict the spread of ARI with a three-compartment population model, namely Susceptible (S), Exposed (E), and Infected (I). This study shows that the EnKF method can predict the spread of ARI well. The number of ensembles used affects the level of accuracy. The EnKF provides accurate predictions of the dynamics of ARI spread, making it relevant as a scientific basis in the formulation of data-based mitigation strategies. It can provide a scientific basis for policymakers to formulate accurate and measurable preventive measures.
Co-Authors Aini Fitriyah Ainun Esti Candra Ajeng Oxa Nisa Anggriani, Indira Anggriani, Indira Asmianto Asmianto Basuki Widodo Charisma Juni Kumalasari Denis Sospeter Mukama Denis Sospeter Mukama Devi Marita Putri Dian Ayu Merdekawati Dieky Adzkiya Dinni Rahma Oktaviani Endah Rokhmati Merdika Putri Ghani, Mohammad Indira Anggriani Kamaluddin, Bhamakerti Hafiz Lestari, Jepi Mohamad Tafrikan Mohamad Tafrikan Mohamad Tafrikan Mohammad Ghani Mohammad Ghani Muhammad Habiburrohman Nisa, Ajeng Oxa Putri, Devi Marita Rohman, Ahmad Aunur Rois, Muhammad Abdurrahman Sitti Rosnafi’an Sumardi Sumardi, Sitti Rosnafi'an Tafrikan, Mohamad Tafrikan, Mohamad Zulaikha Zulaikha Zulaikha Zulaikha