5 research outputs found
Analisis Numerik Aliran Darah Pada Pembuluh Darah Aorta Akibat Aneurisma Aorta Abdominal Menggunakan Metode Volume Hingga
No full textAnalisis Numerik Aliran Darah pada Pembuluh Darah Aorta Akibat Aneurisma
Aorta Abdominal dengan Menggunakan Metode Volume Hingga; Azza Liarista
Anggraini, 170210101067; 2021: 136 halaman; Program Studi Pendidikan
Matematika Fakultas Matematika dan Ilmu Pendidikan Universitas Jember.
Aorta merupakan pembuluh darah arteri utama yang keluar dari jantung, untuk
menyuplai darah ke seluruh tubuh. Arteri terbesar yang ada di dalam tubuh manusia
yaitu aorta abdominal. Pelebaran aorta abdominal ini sering terjadi karena beberapa
faktor diantaranya faktor genetik, usia, jenis kelamin dan berat badan. Kondisi
melebarnya aorta abdominal secara abnormal disebut dengan Aneurisma Aorta
Abdominal. Oleh karena itu, Aneurisma Aorta Abdominal yang pecah dapat
menyebabkan perdarahan yang berbahaya bagi kehidupan.
Berdasarkan permasalahan di atas, penelitian bertujuan untuk membangun
model matematika aliran darah pada pembuluh darah aorta dengan pengaruh diameter
pembengkakan, panjang pembengkakan, dan panjang leher proksimal untuk
mengetahui pola aliran pada pembuluh darah aorta. Model matematika tersebut
diselesaikan dengan menggunakan metode volume hingga. Selain itu, penelitian
ini juga bertujuan untuk mengetahui efektivitas metode volume hingga dalam
menganalisis masalah kecepatan aliran darah pada pembuluh darah aorta akibat
Aneurisma Aorta Abdominal.
Kegiatan dalam penelitian ini dilakukan beberapa kegiatan yaitu : pertama,
melakukan studi pustaka yang berkaitan tentang Aneurisma Aorta Abdominalis.
Kedua, membangun model matematika dari persamaan momentum dan persamaan
kontinuitas massa. Model matematika yang telah terbentuk didiskritisasi
menggunakan diskritisasi QUICK sehingga diperoleh matriks global. Matriks global
yang telah diperoleh kemudian dilakukan komputasi menggunakan MATLAB.
Kemudian melakukan simulasi dengan FLUENT untuk mengetahui pola aliran darah
pada pembuluh darah aorta akibat Aneurisma Aorta Abdominal.
Dari hasil penelitian yang dilakukan, maka dapat diambil kesimpulan:
1. Model matematika kecepatan aliran darah pada pembuluh darah aorta akibat
Aneurisma Aorta Abdominal sebagai berikut.
φw ((ρu − ρ) 4t4y) + φe ((ρ − ρu) 4t4y) +
φs ((ρv − ρ) 4t4x) + φn ((ρ − ρv) 4t4x) =
−P4t4y − P4t4x + µ
4t4y
4x
+ µ
4t4x
4y
(1)
dengan,
P =
128µlv
πd4
0
(2)
d0 = D + δ(1 + cos
2π
L0
(z − d −
L0
2
)) (3)
Keterangan :
ρ = Massa jenis darah
Ro = Jari-jari saluran normal
δ = Tinggi pembengkakan
L0 = Panjang pembengkakan
z = Arah aliran darah
d = Panjang leher proksimal
P = Tekanan
η = Viskositas
u = Kecepatan aliran darah pada sumbu-x
v = Kecepatan aliran darah pada sumbu-y
l = Panjang saluran pembuluh darah aorta abdominal
4t = waktu aliran fluida
4x = panjang aliran fluida pada sumbu-x
4y = panjang aliran fluida pada sumbu-yArif Fatahillah, S.Pd., M.Si (Dosen Pembimbing)
Susi Setiawani, S.Si., M.Sc.(Dosen Pembimbing
Numerical analysis of blood flow in abdominal aortic aneurysm using finite volume method
No full textThere is a deadly cardiovascular disease that can cause swelling of the Abdominal Aorta. This disease is known as Abdominal Aortic Aneurysm (AAA). AAA is believed to be a degenerative process caused by genetic factors, gender, body weight, and age. Changes in collagen and elastin in the aortic wall are the cause of the degeneration process. Therefore, it will cause dilatation of the aortic wall. Swelling of the aortic blood vessels will affect the blood flow velocity in the aortic blood vessels. This research aims to analyze the velocity of blood flow in the Abdominal Aortic Aneurysm based on swelling diameter, proximal neck length, and aneurysm channel length using Computational Fluids Dynamics (CFD). The blood flow velocity was modeled using mathematical language based on mass continuity equations and momentum equations. Then the finite volume method was one method to solve the mathematical model. MATLAB and ANSYS FLUENT software were used to simulate the velocity of blood flow analysis. The results of the research were shown that the larger the diameter and swelling channel length, the smaller the velocity of blood flow produced. Then, the greater the length of the proximal neck, the faster the resulting blood flow will be
Analisis Kemampuan Matematika Siswa MTs Nurul Huda Mangaran dalam Menyelesaikan Soal PISA
No full textMathematics plays a very important role in various aspects of human life. Furthermore, learning mathematics can enhance logical, critical, systematic thinking, and problem-solving abilities, which are highly beneficial in daily life. This research aims to analyze the reasoning and problem-solving abilities of students at Mts Nurul Huda Mangaran in Situbondo through the completion of PISA 2012 questions, which the students had not encountered previously. The research approach used is qualitative, allowing the researcher to directly communicate with the respondents to assess the mathematical abilities of the students. Based on the data analysis conducted on 21 respondents, it is evident that the majority of students cannot answer these questions correctly. The challenge they face is difficulty in interpreting the issues presented in the questions. In questions related to inductive reasoning, students are capable of providing answers. However, for deductive reasoning questions, students still struggle to solve the problems presented in the questions
Computer Vision on Education: Fostering AI Literacy using RBL-STEM with Google Teachable Machine
No full textThis study aims to analyze the application of the RBL-STEM learning model using Google Teachable Machine as a computer vision-based learning media to improve AI literacy. The Research Based Learning-STEM (RBL-STEM) learning model is a learning model that integrates research activities in learning using the STEM approach. Convolutional Neural Network (CNN) is a branch of computer vision that uses artificial intelligence algorithms that are very effective in developing AI products to process image-shaped data. This study utilized a mixed methods approach that integrates quantitative and qualitative techniques to explore the improvement of AI literacy. The participants in this study were 139 undergraduate students of science education study program, Faculty of Teacher Training and Education, University of Jember who participated in the study were taking introductory information technology courses for science education, the sample selection method used was purposive sampling. The quantitative method utilized a pre-test and post-test design, which included the analysis of mean scores, standard deviation, and the observed increase in mean scores. The quantitative method used a survey on AI literacy. The pretest mean score was 38.33 with a standard deviation of 13.41, while the posttest mean score was 71.49 with a standard deviation of 9.37 with a Wilcoxon signed rank-test result of -8.468, indicating a significant effect of the RBL-STEM learning model on students' AI literacy. The high standard deviation on the pretest indicates that there is a large variation in the AI literacy level of the students before the learning begins. This is due to students' different backgrounds, experiences and understanding of AI technology. Some students may be familiar with AI, while others have not been exposed to it at all. This inequality causes a wide spread of scores. After the implementation of the RBL-STEM model with Google Teachable Machine, the standard deviation decreased, indicating that this learning not only improved the average AI literacy, but also made the improvement more even. The AI literacy survey results showed an average score of 3.48, indicating that 69% of students showed an understanding of AI literacy. The implementation of the RBL-STEM model of teaching with Google Teachable Machine is able to train students to conduct research integrated in learning activities, the role of Google Teachable machine as an AI-based learning media is able to improve student AI literacy because the use of AI-based learning media creates a new, interactive, and fun learning atmosphere. Based on the findings of the analysis, it can be concluded that the application of the RBL-STEM model has a significant impact in improving students' AI literacy
Analysis of the Comparison of Science Literacy Skills of Students at MTS Nurul Huda Situbondo in Solving PISA Science Problems
No full textPISA (Program for International Student Assessment) is an international assessment designed to measure students' literacy abilities in various disciplines, including science. This research aims to analyze the scientific literacy abilities of students at MTS Nurul Huda Situbondo in solving PISA Science questions. The research method used is data analysis from the results of the PISA Science test given to students. The data described includes test results based on problem-solving and reasoning assessment rubrics. The research results show that most students need help solving these questions, such as understanding questions well, misinterpreting images, applying scientific knowledge, and relating them to real life. The results of the analysis also show that there is significant variation in abilities among students. The results of the Kruskal Wallis-H test show a p-value <0.05, which means there is a substantial difference between the 3 dependent variables. Some students demonstrate scientific literacy in analyzing and solving PISA science questions, while others still need further assistance. The research results will provide insight into the challenges in solving PISA Science questions by students and improving science education at MTS Nurul Huda Situbondo. Understanding and overcoming these obstacles can prepare students to compete globally, especially in science
