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Pengaruh Partikel Nano Zn dan ZnO terhadap Aliran MHD Fluida Nano Pada Lapisan Batas Bola Bermagnet Norasia, Yolanda; Zulaikha, Zulaikha
Square : Journal of Mathematics and Mathematics Education Vol 1, No 2 (2019)
Publisher : UIN Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/square.2019.1.2.4792

Abstract

Fluida terdiri atas fluida Newtonian dan fluida non-Newtonian. Fluida newtonian adalah fluida yang tidak mengalami perubahan viskositas ketika terdapat gaya yang bekerja terhadap fluida tersebut. Fluida non-Newtonian bersifat sebaliknya dari fluida newtonian. Beberapa contoh fluida newtonian adalah air, minyak, dan etanol. Fluida nano adalah salah satu fluida newtonian yang terdiri atas fluida dasar air dan partikel nano. Partikel nano terdiri atas logam dan oksida logam. Partikel nano berupa logam adalah Zinc yang memiliki simbol Zn. Partikel nano berupa non logam adalah Zinc Oxide yang memiliki simbol ZnO. Pada penelitian ini dibahas mengenai magnetohidrodinamik (MHD) dari aliran fluida nano  dan  yang mengalir melewati bola bermagnet dengan pengaruh konveksi campuran.Pemodelan aliran fluida diperoleh dari persamaan pembangun dimensional yang meliputi persamaan kontinuitas, persamaan momentum, dan persamaan energi. Persamaan pembangun dimensional yang terbentuk ditransformasikan kedalam persamaan non-dimensional.Persamaan non-dimensional kemudian diubah menjadi persamaan similaritas dan diselesaikan menggunakan metode implicit Euler. Hasi lsimulasi menunjukkan bahwa ketika parameter magnetik ditingkatkan, maka kecepatan dan temperature aliran fluida nano Zn-Air dan ZnO-Air mengalami penurunan.Ketika fluida nano Zn-Air dan ZnO-Air dibandingkan, kecepatan aliran fluida nano Zn-Air lebih cepat mengalami peningkatan dibandingkan dengan fluida nano ZnO-Air. Sedangkan untuk profil temperatur, fluida nano ZnO-Air lebih cepat mengalami penurunan temperature dibandingkan dengan fluida nano Zn-Air.
ANALYSIS OF THE EFFECT OF STUART NUMBER AND RADIATION ON VISCOUS FLUID FLOW Anggriani, Indira; Norasia, Yolanda; Tafrikan, Mohamad; Ghani, Mohammad; Widodo, Basuki
Journal of Fundamental Mathematics and Applications (JFMA) Vol 7, No 1 (2024)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v7i1.22481

Abstract

Computational fluid dynamics (CFD) is a numerical solution of fluid flow problems built from applied mathematical modeling. The problem of the flow of a viscous fluid which is influenced by a magnetic field gives rise to a boundary layer, from this boundary layer a dimensional building equation is formed. The governing equation is obtained from the continuity equation, momentum equation, and energy equation, then transformed into a non-dimensional equation by substituting non-dimensional variables and transformed into a similarity equation. The numerical solution to this problem uses the Keller Box method. The numerical simulation results show that the Stuart Number increases the velocity profile, while the temperature profile decreases. The effect of radiation parameters on the velocity profile did not change significantly, but the temperature profile decreased.
Examining the Influence of the WEE (Wondering, Exploring, and Explaining) Learning Model on Students' Mathematical Reflective Thinking Proficiency Lestari, Jepi; Rohman, Ahmad Aunur; Norasia, Yolanda
JURNAL PENDIDIKAN MATEMATIKA Vol 7, No 2: November 2023
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/kontinu.7.2.36-48

Abstract

The learning process in eighth-grade classes at SMPN 2 Sewon does not adequately support students' development of mathematical reflective thinking abilities. Consequently, students continue to rely heavily on memorization of formulas, leading to persistent challenges in problem-solving. This study aims to investigate the potential impact of the WEE (Wondering, Exploring, and Explaining) learning model on the mathematical reflective thinking abilities of eighth-grade students at SMP N 2 Sewon. This research follows a quantitative approach, employing experimental methods and adopting a posttest-only control design. The study's population consists of eighth-grade students at SMP N 2 Sewon, and a sample of 32 students from class VIII C and 32 students from class VIII D was selected using a cluster random sampling technique. The findings indicate that students who were exposed to the WEE learning model demonstrated superior mathematical reflective thinking abilities compared to those who did not experience this instructional approach. In conclusion, the WEE learning model significantly influences students' mathematical reflective thinking abilities.
THE COMPARISON OF EXTENDED AND ENSEMBLE KALMAN FILTERS IN MODELING ENVIRONMENTAL POLLUTION INFLUENCES ON ACUTE RESPIRATORY INFECTION DYNAMICS (ISPA) Norasia, Yolanda; Oktaviani, Dinni Rahma; Putri, Devi Marita
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss2pp987-998

Abstract

Acute Respiratory Infections (ISPA) are a significant health issue. According to the World Health Organization (WHO), ISPA is the leading cause of death among children under five worldwide. ISPA can be caused by environments with high levels of air pollution, particularly in urban areas. Predicting the spread of ISPA is a crucial step in controlling the disease. Since pollution sources are diverse, modeling and prediction can be difficult, which makes advanced methods such as the Kalman Filter (KF) desirable. This study compares two estimation methods, the Extended Kalman Filter (EKF) and the Ensemble Kalman Filter (EnKF), in predicting the spread of ISPA triggered by environmental pollution. Simulation results show that both methods can produce accurate estimations, but EnKF demonstrates superior performance in terms of RMSE compared to EKF. It predicts more accurately for susceptible (X) and infected (Y) populations with EnKF than with EKF. Based on the results of the EnKF for the X and Y populations, the RMSEs are 0.0660 and 0.1114, respectively. EnKF's advantage in handling uncertainty and non-linearity in the model makes it suitable for predicting the spread of ISPA.
ANALYSIS OF THE MAGNETOHYDRODYNAMICS NANOVISCOUS FLUID BASED ON VOLUME FRACTION AND THERMOPHYSICAL PROPERTIES Norasia, Yolanda; Tafrikan, Mohamad; Kamaluddin, Bhamakerti Hafiz
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.593 KB) | DOI: 10.30598/barekengvol17iss1pp0331-0340

Abstract

Fluid flow control is applied in engineering and industry using computational fluid dynamics. Based on density, fluids are divided into two parts, namely non-viscous fluids and viscous fluids. Nanofluid is a fluid that has non-viscous and viscous characteristics. Nanoviscos fluid flow is interesting to study by considering the effect of volume fraction and thermophysical properties. Nanoviscous fluid flow models form dimensional equations that are then simplified into dimensionless equations. Dimensionless equations are converted into non-similar equations using flow functions and non-similar variables. Nanoviscous fluids with Cu particles and water-based fluids have higher temperatures and faster velocity. Based on the effect of volume fraction, the velocity of the nanoviscous fluid moves slower, while the temperature of the nanoviscous fluid increases.
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.