Bulletin of Applied Mathematics and Mathematics Education

Support Vector Regression optimization with Particle Swam Optimization algorithm for predicting the gold prices

Novi Selviani — 2023-12-29

This paper discusses about how to predict the gold prices from 1 January 2021 to 31 January 2023. The method used in this study is the Support Vector Regression (SVR) technique, method that was developed from the support vector machine which is used as regression approach to predict future event. From the past study already know that SVR had limitation in achieving good performance because of its sensitivity to parameters. To overcome the SVR performance problems, an optimization algorithm is proposed in this study. The PSO algorithm is applied in this study to optimize the parameters of the SVR method. The results showed that the prediction of the SVR model obtained an MSE value of 0.0035744. While in the SVR model with the PSO algorithm, the MSE value is 0.0033058.

Evaluating interactive e-module for contextual teaching and learning linear equation in one variable

Lina Rachmawati — 2023-12-29

This research is motivated by the lack of teaching materials used in the mathematics learning process. On the other hand, students still struggle to solve story problems related to contextual issues. Therefore, this research aims to develop a product in the form of an interactive E-Module based on Contextual Teaching and Learning (CTL) for 7th-grade students and to evaluate the validity and practicality of the product. This type of research is developmental research using the ADDIE research model (Analyze, Design, Development, Implementation, & Evaluation). The results of the research show that the assessment of the interactive E-Module obtained an average score of 3.68 by subject matter experts with a category of very valid and an average of 3.6 by media experts with a category of very valid. Meanwhile, for student responses, it obtained a percentage of 90.72% in the small-scale trial with very practical criteria and a percentage of 85.95% with very practical criteria in the large-scale trial. Based on these results, it can be concluded that the interactive e-module based on CTL is strongly valid and very practical, making it suitable for use in learning.

Identification of fingerprint image with Minkowski distance algorithm approach

Wisnu Catur Rachmad Tulloh — 2023-12-29

In the digital era, fingerprint identification plays a critical role in information technology administration. Various studies have been conducted to improve the fingerprint identification process, but there are still cases of identification failures that are fatal. This research discusses fingerprint identification with the Minkowski distance method. The data of fingerprints are taken from Mathematics students and the Kaggle site. Data analysis includes the steps of image retrieval, dimensioning, conversion to grayscale, pattern matching, and accuracy measurement. Results show an improvement in data accuracy with a structured approach to data capture and preprocessing. Results from primary data obtained an accuracy of 56.67% while from secondary data obtained an accuracy of 93%.

Classification of student abilities in reducing students’ drop-out rates

Uswatun Khasanah — 2023-12-29

The number of students in the mathematics education study program has declined over the past four years. Besides a few students enrolled in the first year, there are those who have had a temporary leave. These two things are necessary to identify the cause of study leave and need to analyze education data mining (EDM) to obtain a model of classification of students' abilities so that students can improve their achievement. The impact will be a decrease in the number of students undergoing the study. The subject of this study is a student of mathematics education study program from 2008 to 2018. Based on this data set, each student has information about gender, date of birth, home address, postal code, parent's name, secondary school origin, parent job, parent income cell phone number, graduation/drop-out status. The aim of the study is to identify an efficient model between a decision tree, a random forest and a neural network, based on the accuracy of 80 percent decision tree methods, 87 percent random forest methods and 78 percent neural networks.

Hall current effects on a fully developed combined convection flow in a vertical channel: A study of heat transfer

A. Jyothi Bala — 2023-12-29

This paper the effect of magnetic field on free and forced convection flow between two vertical parallel plates is studied. The flow is assumed to be steady and fully developed. The vertical walls are kept at different uniform temperatures. The expression for velocity and bulk temperature are obtained in magnetic and in non-magnetic cases. Hall current effect plays a significant role in determining the flow pattern of an incompressible, viscous, conducting fluid under the influence of an external magnetic field. The effects of magnetic parameter or Hartmann number M, ratio of wall temperature differences (r_T), ratio of Grashoff number and Reynolds number , the pressure gradient and the hall parameter (m) is studied numerically on velocity and bulk temperature.