An implementation of Hill cipher and 3x3x3 rubik's cube to enhance communication security

Message security is must be managed seriously. Therefore, to maintain the confidentiality of any message, cryptography is needed. Cryptography is a science that uses mathematics to encrypt and decrypt messages. Cryptography is used as a tool to protect messages, for example, national secrets and strategies. The method of this research is qualitative research with a literature review. This research implements a hybrid cryptographic algorithm by combining Hill cipher and 3x3x3 Rubik's cube methods with Python software simulation.

Comparing school mathematics curriculum between Switzerland and Indonesia

Comparing a curriculum with the other more developed countries is essential for benchmarking the quality of education in the country. Switzerland deserves to be the object of comparison with the world's second-ranked Human Development Index. This article aims to compare the current curriculum in Indonesia, namely the 2013 curriculum, with the current curriculum in Switzerland, especially on school mathematics. The focus of the comparison lies in (1) school mathematics curriculum and (2) school mathematics content. This research is a qualitative research type of library research. We conducted a literature study, paid attention to the relevance of the literature, and analyzed it using data presentation, data reduction, and concluding. The results showed that with the education system in Switzerland, which emphasizes vocational education, the school mathematics curriculum places more emphasis on problem-solving. The contents are numbers, algebra, geometry, probability and statistics, changes and relationships, and problem-solving. Meanwhile, in Indonesia, the school mathematics curriculum is designed for every level of education with problem-based learning, project-based learning, and discovery learning models. School mathematics content includes numbers, algebra, geometry, relations and functions, statistics, and probability.

The importance of understanding web frameworks for statisticians

As the web and computational technology carry on growing and huge data are yielded on the web, these technologies are turn into important for a statisticians' work. It is worthy that statistician always gain knowledge of new aspects of computation. A lack of computational reasoning skills gets it hard for statisticians to work in a team. If statistician do not take up this computations challenge more coherently, statistics will be marginalized and take away related at a time when its data science reputation grow up significantly. In addition, people rely on the information on web, for whatever their reason.Since web growth, several major transforms have evolved, from the most rudimentary concept until a new model of interaction between humans and machines. Simple interactivity denotes that users can enter data to the application on a web page, then click on button, and then appears a new web page with the results of the computations. This application has been known as web application with most are built with the utility of web frameworks which is a package of programming tasks that offering services through the Internet. Therefore, this paper gives short overview the importance of Flask web frameworks to assist the lack of computational skill of statistician over web application in the simplest possible way and how web framework is used to create a web page with application form, run the application to compute statistical calculation which has been deployed in local server, and produce a web page with the solutions

Measurement and spatial difference of agricultural green development level in Guangxi

Green development of agriculture is the foundation of the entire green development. As a big agricultural province, promoting the green development of agriculture is conducive to promoting the high-quality development of agriculture and rural revitalization in Guangxi. This paper firstly analyzes the domestic and foreign scholars' research on the green development of agriculture, combined with the relevant policy theory, constructs the index system from the three aspects of green production, economic benefits and living standards, and then uses the entropy method to calculate the index weight and the comprehensive score of the green development of Agriculture in Guangxi, it analyzes the development trend of agricultural green development in Guangxi from 2010 to 2019 and the spatial differences of agricultural green development in 14 cities of Guangxi in 2019 afterwards. Finally, the following conclusions are drawn: the agricultural green development in Guangxi is on the rise from 2010 to 2019, but the development of green production is still in stagnancy; the overall level of Guangxi's agricultural green development in 2019 is relatively low, the best comprehensive developed cities are Guilin and Yulin, while the Hechi got the worst comprehensive score. According to the above conclusion, Guangxi should increase investment in science and technology to promote green agricultural production, focus on the overall development of the city to achieve regional coordination, give full play to the linkage effect of the city, and encourage well-developed cities to drive the development of surrounding cities.

Malaysian and Italian trend line for Covid-19: A study on trend analysis

The first objective of this study was to evaluate trend line pattern, obtain the appropriate statistical equation model, and predict individual numbers infected by Covid-19. The second objective is to obtain a predictive equation model and forecast death rate for Malaysia and Italy. Malaysia's first positive case Covid-19 recorded January 24, 2020, consisting of three cases. Collected from January 24 to March 29, 2020. Sixty-six day-observations, based on their trend line pattern, earned special attention. Although the first positive case was identified on January 31, 2020, involving two patients. From January 31 to March 29, 2020, approximately 59 observations were collected from Italy. On 18 March 2020, the pattern will contrast with the Malaysian Movement Control Order (MCO). Malaysia and Italy collect death figures. A similar methodology will be applied to find the best-fitted model that fits both countries' death-number scenario. In Italy, the number of Covid-19-infected patients rises and meets quadratic trend line patterns. This induces extreme public distress and diversion. The quadratic trend line series analysed individual Covid-19-infected results. After March 18, 2020, it will continue to use a linear pattern. However, trend deaths also follow quadratic trend line pattern. Trend-line quadratic matched Italy's results. The quadratic line-of-trend model projection demonstrated dominance in estimating infected Covid-19. The quadratic death line from daily death collection data also showed superiority in estimating death number. The fitted quadratic model is better fitted in the Malaysian case, but the pattern shifts to linear trend line after MCO is implemented.

Paper review: An overview on microarray technologies

Bioinformatics is a branch in Statistics which is still unpopular among statistics students in Indonesia. Bioinformatics research used microarray technology, because data is available through to microarray experiment on tissue sample at hand. Microarray technology has been widely used to provide data for bioinformatics research, since it was first introduced in late 1990, particularly in life sciences and biotechnology research. The emergence and development of the Covid-19 disease further reinforces the need to understand bioinformatics and its technology. There are two of the most advance platforms in microarray technology, namely, are the Affymetrix GeneChip and Illumina BeadArray. This paper aims to give an overview about microarray technology on the two platforms and the advantage of using them on bioinformatics research.

Modeling for exponential growth and decay methodology in biometry using SAS syntax

This paper provided an alternative method for exponential growth modeling as a regression analysis technique through the SAS algorithm. This alternative method is a combination technique (using nonlinear model bootstrap and fuzzy regression) for the small data set and gives the researcher an option to start the analysis, even if there is not enough data set. This method enhances the previous methodology with embedded bootstrapping and fuzzy technique to a nonlinear regression model. This principle aims to propose an alternative method of analysis with better results. In our case, we applied this principle to farm data and compared the results obtained by looking at the average width of the predicted interval.

Describing student’s mathematical power: Do cognitive styles make any difference?

Mathematical competence refers to the skills of students in reasoning, connection, communication, representation, and problem-solving. Various researchers have massively discussed on how to foster mathematical competence. However, it is just a few of them comprehensively explain from the cognitive styles perspective. This research aims to measure the junior high school students’ mathematical competence based on their cognitive style.This research used a descriptive qualitative approach. There were 35 students took part in the mapping of cognitive styles using the Matching Familiar Figure Test and were then selected representative from the reflective and the impulsive cognitive style to have a further assessment of the mathematical competence using the mathematical competence test. The data analysis used the model of Milles and Huberman. The results showed that there was a difference mathematical competence between the subject having impulsive cognitive style and the one having reflective cognitive style. The percentage of mathematical competence of reflective subject was 69% while the impulsive subject was 56.89%. From all aspects of mathematical competence, the reflective subject tends better ability; for instance, the reflective subject has better ability than the impulsive subject on mathematical connection, mathematical reasoning, mathematical representation, and problem-solving.

Mathematics literacy skills in pre-service teachers: What could they do?

Mathematics literacy is individual capacity to formulate, to employ, and to interpret mathematics in various contexts. Indonesian students aged 15 are required to perform these three skills and these abilities reflect the success of the curriculum. The results, however, are never considered satisfying since, many argue, the students are not accustomed to deal with the mathematics literacy problems. Teacher is then the one who takes the responsibility to make the students familiar with the literacy problems. This research aims to look closer at the mathematics literacy skills possessed by pre-service teachers. It is a qualitative research which involved 128 undergraduate student teachers as the subjects. A custom mathematics literacy test was developed with various contexts to measure the student teachers’ literacy skills according to the PISA framework. The results suggest that they performed well in the level 1 to 3 problems, but not in the level 4 to 6. Many errors made by the student teachers in the stage of formulating, employing, or interpreting. Finally, teachers need to be accustomed to this skill before they are ready enough to teach their students.

A mathematical model for the spread of oil spills in high seas

This study aims to model the distribution pattern of oil spills in high seas with the influence of wind movements. The mathematical model is derived from the random walk process of the oil spill particles by using a probability measure on a unit circle with the help of Laplace and Fourier transform . The solution to the model is also obtained by using Laplace and the Fourier transform. Based on the analysis of the solution of the model, the oil spill tends to spread in the direction of wind movement.. The speed and direction of the wind movement affect the speed and direction of the spread of the oil spill particles. The larger the speed of wind movement, the faster the oil particles movement.