Penerapan Model Pembelajaran ELPSA dengan Media Pita Tongkat untuk Meningkatkan Pemahaman Konsep PLSV

This research is motivated by the real condition that students do not understand the concept of linear equations and one variable linear inequality and the teacher tries to improve understanding of these concepts. An alternative to solve this problem is by applying experiences, language, pictures, symbols, application (ELPSA) learning model using sticky tape media. This study aims to improve students' understanding of concepts in the subject matter of linear equations and inequalities with one variable in junior high school mathematics. Research subjects, students of SMPN Bulo Odd Semester 2018/2019 Academic Year class VII A consisted of 27 people. Methods of data collection, observation, tests, questionnaires and field notes. The implementation is carried out in 3 cycles, each cycle consisting of planning, implementing, observing, and reflecting. The data analysis technique was carried out in a descriptive qualitative manner. Descriptive analysis, to describe the implementation of the learning model and calculate the percentage of students who completed. Qualitative analysis using flow methods, namely data reduction, and drawing conclusions or verification. Conclusion (1) Learning with the ELPSA model with stick tape media can improve the concept of linear equations and inequalities of one variable in students of SMPN Bulo class VII A. (2) The ELPSA learning model with stick tape media can improve learning outcomes of linear equations and inequalities of one student variable SMPN Bulo class VII A.

Image design and interaction technology based on Fourier inverse transform

As one of the main directions of applied mathematics research, inverse Fourier transform (FT) has been widely used in image speech analysis and other fields in recent decades of development. FT is the basic content of digital image processing technology. In practical analysis, image design and interaction can be realised by using time-space domain and frequency domain, which can accurately obtain image information characteristics and achieve the expected application goals. In this paper, based on the understanding of FT and inverse transform, an improved algorithm is used to lay the foundation for the realisation of image design and interactive technology.

Statistical Exploration of the Data for the Georgia Mountain Food Bank

Hunger relief is one of the major needs during humanitarian emergencies. Georgia Mountain Food Bank’s (GMFB) is to address hunger, health, and quality of life by serving those in need throughout North Georgia. GMFB is invited to participate in this project by providing data on the “People in Need” program. GMFB provides the demographic and food picking up information for FY17 & FY18. The data are completely anonymous without any ethical concerns. GMFB would like to obtain a better understanding of the data through mathematics research and analytic study with this project.

Reviewer Acknowledgements for Journal of Mathematics Research, Vol. 13, No. 6

Reviewer Acknowledgements for Journal of Mathematics Research, Vol. 13, No. 6

Pengaruh Kecerdasan Intrapersonal Dan Kemandirian Belajar Terhadap Kemampuan Berpikir Kreatif Pada Pelajaran Matematika

This study aims to determine the effect of intrapersonal intelligence and learning independence on the ability to think creatively in mathematics. Research place at MTs Serang district. This research method uses a survey method, with a sample of 83 people. The sampling technique uses multi-stage sampling. Collecting data using essay tests and questionnaires. Hypothesis testing using path analysis (path analysis). The results of the study concluded that there was a significant influence of intrapersonal intelligence and learning independence on the ability to think creatively in mathematics. More effectively improve the ability to think creatively is done by awakening the independence of learning first in mathematics. So that students easily grasp the material being taught and students will be more motivated and happy in learning because they are already familiar with the learning system

Bitcoin as an Investment and Hedge Alternative. A DCC MGARCH Model Analysis

Volatility and investor sentiment have been factors for the slow adoption rate of Bitcoin (BTC) that was first recognized in 2008 as a potential store of value, investment vehicle and a hedge alternative to gold during a recession. The purpose of this applied mathematics study will use a multivariate DCC GARCH model. Bitcoin holds its ground in volatility. This study examines Bitcoin as an investment and hedge alternative to gold as well as the major stock index. To perform the research to explore the viability of Bitcoin as an investment and hedge alternative to gold, the authors conducted a DCC GARCH model analysis. The findings of this research paper confirm Bitcoin’s cyclical performance between volatility and adoption. The findings give a strong ground for Bitcoin as the new digital currency, store of value, medium of exchange, and a unit of account and incentivize further research by theorists, scholars and examiners. The significance of this applied mathematics research and analysis will allow an unstoppable, incorruptible, and uncontrollable store of value, and investment vehicle, without governmental or institutional intervention. This study contributes by comparing and contrasting volatility stability based on the return levels of each Bitcoin on major indexes traded with BTC (based on fiat currencies) and gold.

Stochastic Block Model Reveals Maps of In Applied Mathematics Studies Using VOS Viewer

Bibliometric analysis is the mapping of research research trends by processing metadata from Google Scolar. The aim is to find out research trends in applied mathematics. The research was conducted on April 30, 2021 through searching the Google Scholar database with the keywords applied mathematics with the publication name journal and the maximum number of results is 500 journals as a sample. Metadata retrieval using the Publish or Perish (POP) application version 7.31. The PoP data were then analyzed descriptively based on the publication year, publisher name, researcher productivity, and journal ranking. To get an accurate map of research developments, PoP data is exported to Exel CSV and Result as RIS file formats. The CSV data was created in a pivot table and the RIS data was analyzed using the VOSViewer (VV) application. The results of the research show that the number of publications of research results in the years 2005-2021 has fluctuated and is mostly published in Elsevier. The most prolific foreign researcher in publishing research results is Biher Bist with 14 articles. The VV visualization shows that the map of the development of applied mathematics research is divided into 5 clusters. Cluster 1 consists of 27 topics, cluster 2 consists of 15 topics, cluster 3 consists of 10 topics, cluster 4 consists of 7 topics, and cluster 5 consists of 3 topics with the most research covering mathematics, paper, problem, solution, system, university, department, science.

Reviewer Acknowledgements for Journal of Mathematics Research, Vol. 13, No. 3

Reviewer Acknowledgements for Journal of Mathematics Research, Vol. 13, No. 3, 2021.