Articles
<![CDATA[Pengaruh Partikel Nano Zn dan ZnO terhadap Aliran MHD Fluida Nano Pada Lapisan Batas Bola Bermagnet ]]>
<![CDATA[Norasia, Yolanda]]>;
<![CDATA[Zulaikha, Zulaikha]]>
<![CDATA[ Square : Journal of Mathematics and Mathematics Education Vol 1, No 2 (2019) ]]>
Publisher : <![CDATA[UIN Walisongo Semarang ]]>
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DOI: 10.21580/square.2019.1.2.4792
<![CDATA[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.]]>
<![CDATA[Diagram Kendali MAD pada Harga Cabai Rawit di Jawa Tengah ]]>
<![CDATA[Yolanda Norasia]]>
<![CDATA[ Jurnal Matematika Vol 11 No 1 (2021) ]]>
Publisher : <![CDATA[Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University ]]>
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DOI: 10.24843/JMAT.2021.v11.i01.p134
<![CDATA[Food price policies affect the stabilization of food prices in Indonesia. The control chart is one of the tools used to measure the stabilization of food prices. The control chart was first introduced by W.A. Shewhart. The Shewhart control chart is divided into two, namely attribute and variable control charts. Shewhart's control chart uses normal distribution assumptions. In the fact, the real data not always follow the normal distribution. Deviations that occur due to large data variability. The MAD control chart is used to observe process variability. The MAD control chart has three horizontal lines, namely the Center Line (CL), Upper Center Line (UCL), and Lower Center Line (LCL). Median Absolute Deviation (MAD) control charts using the median and MAD subgroups. By using the MAD control chart, the increase in chili prices shows that it is not statistically controlled.]]>
<![CDATA[Pergerakan Aliran MHD Ag-AIR Melewati Bola Pejal ]]>
<![CDATA[Yolanda Norasia]]>;
<![CDATA[Basuki Widodo]]>;
<![CDATA[Dieky Adzkiya]]>
<![CDATA[ Limits: Journal of Mathematics and Its Applications Vol 18, No 1 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/limits.v18i1.7888
<![CDATA[Fluida merupakan zat yang dapat mengalir dan mengalami perubahan secara kontinu akibat adanya tegangan geser. Analisis pengukuran dari ketahanan fluida terhadap tegangan geser menggunakan viskositas. Berdasarkan viskositas, fluida dibagi menjadi dua yaitu fluida newtonian dan fluida non-newtonian. Fluida non-newtonian terdiri atas fluida viskos, fluida mikropolar dan fluida nano. Salah satu contoh fluida nano adalah Ag-Air. Fluida tersebut tersusun dari fluida dasar air dan partikel nano Ag yang memiliki daya hantar dan tingkat konduktivitas yang tinggi. Adanya pengaruh medan magnet pada Fluida nano Ag-Air, maka menjadi fluida tersebut dapat menghantarkan arus listrik (memiliki sifat magnetohidrodinamik/MHD). Merujuk pada hasil riset sebelumnya bahwa parameter magnetik dan konveksi dapat mempengaruhi profil kecepatan dan temperatur pada fluida. Pada penelitian ini dibahas mengenai model matematika dan penyelesaian numeriknya dari permasalahan pergerakan aliran MHD Ag-Air yang melewati bola pejal dengan pengaruh parameter magnetik dan konveksi. Diperoleh hasil bahwa variasi magnetik yang meningkat mengakibatkan pergerakan Ag-Air melambat dan temperatur Ag-Air meningkat. Dengan meningkatkan parameter konveksi diperoleh pergerakan Ag-Air lebih cepat dan temperatur Ag-Air mengalami penurunan.]]>
<![CDATA[Pengaruh Partikel Nano Zn dan ZnO terhadap Aliran MHD Fluida Nano Pada Lapisan Batas Bola Bermagnet ]]>
<![CDATA[Yolanda Norasia]]>;
<![CDATA[Zulaikha Zulaikha]]>
<![CDATA[ Square : Journal of Mathematics and Mathematics Education Vol 1, No 2 (2019) ]]>
Publisher : <![CDATA[UIN Walisongo Semarang ]]>
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DOI: 10.21580/square.2019.1.2.4792
<![CDATA[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.Kata kunci: fluida newtonian, fluida nano, magnetohidrodinamik, implisit euler ]]>
<![CDATA[Study of The Effect Stuart and Prandtl Numbers on Diamond Nano Fluid Flowing Through Cylindrical Surface ]]>
<![CDATA[Yolanda Norasia]]>;
<![CDATA[Mohamad Tafrikan]]>;
<![CDATA[Mohammad Ghani]]>;
<![CDATA[Asmianto Asmianto]]>;
<![CDATA[Indira Anggriani]]>
<![CDATA[ Telematika Vol 16, No 1: February (2023) ]]>
Publisher : <![CDATA[Universitas Amikom Purwokerto ]]>
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DOI: 10.35671/telematika.v16i1.2103
<![CDATA[Fluid flow problems can be constructed using applied mathematical modeling and solved numerically using computational fluid dynamics (CFD). Nondimensional variables, stream functions, and similarity variables are used to simplify the governing equations from Newton's law, and thermodynamics law. These equations consist of continuity equations, momentum equations, and energy. Backward Euler method numerically solves the equations. The results show that the smaller the influence of the given Stuart number and Prandtl number, the fluid velocity and temperature will increase. Diamond nano fluid with water base fluid moves faster and experiences an increase in temperature faster than engine oil base fluid. this is due to the thermo-physical heat capacity of the water base fluid being greater than that of the engine oil.]]>
<![CDATA[ANALYSIS OF THE EFFECT OF STUART NUMBER AND RADIATION ON VISCOUS FLUID FLOW ]]>
<![CDATA[Anggriani, Indira]]>;
<![CDATA[Norasia, Yolanda]]>;
<![CDATA[Tafrikan, Mohamad]]>;
<![CDATA[Ghani, Mohammad]]>;
<![CDATA[Widodo, Basuki]]>
<![CDATA[ Journal of Fundamental Mathematics and Applications (JFMA) Vol 7, No 1 (2024) ]]>
Publisher : <![CDATA[Diponegoro University ]]>
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DOI: 10.14710/jfma.v7i1.22481
<![CDATA[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.]]>
<![CDATA[SEIHR Model on Spread of COVID-19 and Its Simulation ]]>
<![CDATA[Rois, Muhammad Abdurrahman]]>;
<![CDATA[Tafrikan, Mohamad]]>;
<![CDATA[Norasia, Yolanda]]>;
<![CDATA[Anggriani, Indira]]>;
<![CDATA[Ghani, Mohammad]]>
<![CDATA[ Telematika Vol 15, No 2: August (2022) ]]>
Publisher : <![CDATA[Universitas Amikom Purwokerto ]]>
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DOI: 10.35671/telematika.v15i2.1141
<![CDATA[The modified SEIR model of the COVID-19 spread is divided into five compartments: susceptible, exposed, infected, and recovered. Based on the results, two equilibrium points were obtained: the disease-free equilibrium point and the endemic equilibrium point. The existence of an equilibrium point depends on the value of the basic reproduction number R0, as well as on stability. The endemic equilibrium point exists if it is satisfied R0>1. Then, the disease-free equilibrium point is said to be locally asymptotic stable if R0<1, and the endemic equilibrium point is locally asymptotic stable if R0>1. Sensitivity analysis was performed to determine the most influential parameters in the spread of the virus. Finally, the numerical simulations determine the behavior of the model and support the results of the dynamic analysis.]]>
<![CDATA[Examining the Influence of the WEE (Wondering, Exploring, and Explaining) Learning Model on Students' Mathematical Reflective Thinking Proficiency ]]>
<![CDATA[Lestari, Jepi]]>;
<![CDATA[Rohman, Ahmad Aunur]]>;
<![CDATA[Norasia, Yolanda]]>
<![CDATA[ JURNAL PENDIDIKAN MATEMATIKA Vol 7, No 2: November 2023 ]]>
Publisher : <![CDATA[Universitas Islam Sultan Agung ]]>
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DOI: 10.30659/kontinu.7.2.36-48
<![CDATA[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.]]>
<![CDATA[THE COMPARISON OF EXTENDED AND ENSEMBLE KALMAN FILTERS IN MODELING ENVIRONMENTAL POLLUTION INFLUENCES ON ACUTE RESPIRATORY INFECTION DYNAMICS (ISPA) ]]>
<![CDATA[Norasia, Yolanda]]>;
<![CDATA[Oktaviani, Dinni Rahma]]>;
<![CDATA[Putri, Devi Marita]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 2 (2025): BAREKENG: Journal of Mathematics and Its Application ]]>
Publisher : <![CDATA[PATTIMURA UNIVERSITY ]]>
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DOI: 10.30598/barekengvol19iss2pp987-998
<![CDATA[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.]]>
<![CDATA[ANALYSIS OF THE MAGNETOHYDRODYNAMICS NANOVISCOUS FLUID BASED ON VOLUME FRACTION AND THERMOPHYSICAL PROPERTIES ]]>
<![CDATA[Norasia, Yolanda]]>;
<![CDATA[Tafrikan, Mohamad]]>;
<![CDATA[Kamaluddin, Bhamakerti Hafiz]]>
<![CDATA[ BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 1 (2023): BAREKENG: Journal of Mathematics and Its Applications ]]>
Publisher : <![CDATA[PATTIMURA UNIVERSITY ]]>
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DOI: 10.30598/barekengvol17iss1pp0331-0340
<![CDATA[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.]]>
