Pada makalah ini, aliran konveksi bebas dan aliran konveksi paksa berperan penting pada aliran konveksi campuran. Dalam hal ini, pengaruh gaya tekanan (pressure forces) dan gaya apung (buoyant forces) pada aliran konveksi bebas menjadi signifikan. Aliran konveksi campuran dapat digunakan pada teknologi reaksi reaktor dan pendingin elektronik. Dalam makalah ini, persamaan lapisan batas (boundary layer) dari aliran konveksi campuran fluida viskoelastik yang melewati permukaan sebuah bola berpori awalnya ditransformasikan kedalam bentuk non-dimensi, kemudian ditransformasikan kedalam bentuk persamaan lapisan batas non-similar yang diselesaikan secara numerik menggunakan metode beda hingga Keller-Box. Hasil numerik pada makalah ini adalah profil kecepatan (

This study aims to determine whether there is a significant effect between learning independence and mathematical resilience simultaneously on the mathematical problem solving ability of eighth grade students of SMP Manbaul Hikmah. The type of research used is quantitative research with survey method. The population in this study were all eighth grade students of SMP Manbaul Hikmah with a research sample of 48 students. The results showed that there was a significant effect between learning independence and mathematical resilience simultaneously on the mathematical problem solving abilities of eighth grade students of SMP Manbaul Hikmah on the Pythagorean which was indicated by the F test results obtained by the value of F_hitung=8,454>3,20. The influence of learning independence and mathematical resilience simultaneously can affect the mathematical problem solving ability of eighth grade students of SMP Manbaul Hikmah by 27.35% and the remaining 72.65% is influenced by other factors not explained in the study.

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.

This paper is concerned with the Boussinesq-MHD system with constant viscosity, thermal diffusivity, and electrical conductivity. The existence of this Boussinesq-MHD system was estimated by Littlewood-Paley decomposition, Bony’s para product and commutator estimates. Meanwhile, the uniqueness was estimated by Gronwall inequality. In this paper, the space is the optimal Sobolev spaces for the Boussinesq-MHD system.

UIN Walisongo's student identity card (KTM) does not have much function other than just for student identification. Even if the function is increased, it can be used for absenteeism at lectures, borrowing books, or double as an automated teller card (ATM). Doing absences using KTM requires a feature matching method for matching the intended KTM image with the KTM that is searched for in the student database. The feature matching process is based on feature detection in images using various methods such as ORB and Scale Invariant Feature Transform (SIFT). We can perform the feature matching method using the Brute-Force method and the Fast Library Approximated Nearest Neighbor (FLANN) on Google Colab with Python. The results of feature matching on the FLANN method are more than the Brute-Force method. The validation of the two image feature matching was carried out using the Root Mean Square Error (RMSE) method, resulting in an average value of 10.424. The purpose of this article is to detect student ID cards with matching features in the image. The FLANN and Brute-Force feature matching methods can be used to detect KTM UIN in images. Keywords: feature matching, SIFT, FLANN, Brute-Force, RMSE