Bulletin of Applied Mathematics and Mathematics Education
BAMME welcomes high-quality manuscripts resulted from a research project in the scope of applied mathematics and mathematics education, which includes, but is not limited to the following topics: Analysis and applied analysis, algebra and applied algebra, logic, geometry, differential equations, dynamical system, fuzzy system, etc. Graph theory, combinatorics, number theory, coding theory, cryptography, etc. Mathematical modeling in economics, physics, biology, medicine, engineering, control theory and automation, optimization, operational research, neural network, data science, machine learning, etc. Applied statistics and probability, finance mathematics, biostatistics, actuary, etc. RME-based mathematics education. Development studies in mathematics education. Mathematics Ability, includes the following abilities: reasoning, connection, communication, representation, and problem solving. Ethnomathematics, the results of research on the relationship between mathematics and culture practiced by members of cultural groups who share experiences and practices similar to mathematics that can be in a unique form. Application of ICT in mathematical learning and the design, development, and evaluation of the implementation or application of learning media.
Articles
50 Documents
Measurement and spatial difference of agricultural green development level in Guangxi
Qin, Quan
Bulletin of Applied Mathematics and Mathematics Education Vol. 1 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v1i2.4805
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.
The spectrum on prism graph using circulant matrix
Triyani, Triyani;
Mashuri, Mashuri;
Anarkis, Bunga Tirai;
Riyadi, Slamet
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i1.5129
Spectral graph theory discusses about the algebraic properties of graphs based on the spectrum of a graph. This article investigated the spectrum of prism graph. The method used in this research is the circulant matrix. The results showed that prism graph P2,s is a regular graph of degree 3, for s odd and s ≥ 3, P2,s is a circulantt graph with regular spectrum.
Face pattern recognition using Expectation-Maximization (EM) algorithm
Purwadi, Joko;
Hernadi, Julan;
Suryantoro, M. Danang
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i1.5520
This paper discuss about the use face patteren recognition which is now days become popular especialy on smartphone lock screen system. The method used in this research are the Expectation – Maximization (EM) Algorithm. EM Algorithm is an iterative optimization method for the estimation of Maximum Likelihood (ML) which is used in incomplete data problems. there are 2 stages, namely the Expectation stage E (E-step) and the Maximization stage M (M-step). These two stages will continue to be carried out until they reach a convergent value. The result of the research shows that EM Algorthm produce high accuracy, it’s about 95% on the data training and 83% accuracy on the data testing.
Effectiveness of Microsoft Kaizala and Google Classroom towards students’ mathematical communication skill and self-efficacy in learning statistics
Andriyani, Andriyani;
Santosa, Achadi Budi;
Saryadi, Wahyu
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i1.5523
This study aims to describe the effectiveness and differences in the effectiveness of the learning platform with Google Classroom and Microsoft Kaizala in terms of self-efficacy and students' mathematical communication skills. The population of this research is the XII grade students of SMK Negeri 1 Giritronto Wonogiri which consists of sevent classes. From the existing population, two classes were taken randomly, namely twelfth grade of TKJ-I and twelfth grade of TKJ-II as research samples. Twelfth grade of TKJ-I was given treatment by learning using the Microsoft Kaizala platform, while twelfth grade of TKJ-II was given treatment using the Google Classroom platform. The research data were analyzed by statistical one sample t-test, MANOVA test with Hotelling's T2 at a significant level of 0.05 and univariate test to determine which platform is more effective. The results showed that: (1) statistical learning using the Microsoft Kaizala platform was effective in terms of mathematical communication and self-efficacy, while the Google Classroom platform was effective in terms of mathematical communication but not effective in terms of self-efficacy; (2) there is a difference in effectiveness between the Microsoft Kaizala platform and Google Classroom. The Microsot Kaizala platform is more effective than Google Classroom in terms of the mathematical communication skills of class twelfth grade students of SMK Negeri 1 Giritronto Wonogiri.
Primary school teachers’ awareness on STEAM learning: A starting point to develop STEAM-CB textbook
Khasanah, Uswatun;
Istiandaru, Afit;
Astuti, Dwi;
Adnan, Mazlini;
Prihaswati, Martyana
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i1.5565
STEAM learning is an approach which integrates multidisciplinary knowledge while enriching students' skills to explore, try, ask, find, and build innovation, namely science, technology, engineering, art, and mathematics. We found that the learning resources of STEAM in Yogyakarta is very limited due to lack of knowledge about it. On the other hand, using local contexts as the starting point of learning is also important to foster character building. This preliminary research aims to provide insight on the teachers’ awareness on STEAM learning and textbook, as well as the design we figured out after discussing it with the teachers. It was a descriptive qualitative research involving 214 primary school teachers. We collected the data through questionnaire and focus group discussion. The results suggest that STEAM is quite a new concept for most of primary school teachers in Yogyakarta. Not many teachers used to or have developed the STEAM learning resources, especially the one integrated with the character building. Therefore, a STEAM textbook needs to be developed to fulfill the need. Furthermore, the design of the textbook could have the characteristics of integrating all components of STEAM (science, technology, engineering, art, mathematics), starting from local context to develop characters, improving creative and critical thinking, having knowledge and skill assessment, and using project-based learning model.
Applying negative binomial regression analysis to overcome the overdispersion of Poisson regression model for malnutrition cases in Indonesia
Setyawan, Yudi;
Suryowati, Kris;
Octaviana, Dita
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i2.4948
Indonesia is one of the developing countries that is struggling to eradicate malnutrition problem. Malnutrition that occurs over a long period of time can have an impact on deaths for the sufferers and decreasing human’s quality of life. This study aims to model the case of malnutrition that occurred in Indonesia Provinces during 2015, and get the main factors that cause malnutrition problem. Variables studied consists of Malnutrition (Y), Vitamin A consumption (X1), Exclusive breastfeeding (X2), Immunization (X3), Water quality (X4), Healthcare center (X5), and Poverty level (X6). Based on the Kolmogorov-Smirnov test, the results of malnutrition data in Indonesia Province in 2015 does not follow Poisson distribution because of overdispersion. The presence of overdispersion cases in the Poisson regression model will have an impact on the inappropriateness of inferences. An alternative model that can accomodate this case is negative binomial regression model. By using this model, factors that are considered influencing malnutrition cases in Indonesia provinces in 2015 are Immunization (X3), Water quality (X4), and Poverty level (X6). The best model obtained from negative binomial regression analysis is μ ̂_i=exp(2.5111-0.0338X_3+0.0295X_4+0.0576X_6).
Indonesian provincial clustering using Elbow method for the national food security during pandemic
Trimanto, Rido;
Yustari, Eryka;
Nafisah, Zulfatin;
Carolina, Nona;
Irsalinda, Nursyiva;
Setyorini, Arifah Indah
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i2.6166
The Covid-19 pandemic had an impact on the joints of socio-economic life, especially in fulfilling the basic needs. It also caused the declining of global food security, especially in Indonesia. This study aims to develop regional mapping to determine food security priorities and to achieve equal distribution of food security throughout Indonesia. The research method used in this research is quantitative research with the Elbow method. The Elbow method is used to find the optimal cluster size. The data used are from the Food Security Agency of the Indonesian Ministry of Agriculture and Central Statistics Agency in a range of 2020 to 2021. In the process to identify priority areas in Indonesia, it is necessary to have provincial clustering. It is also necessary to minimize food budget allocations that are not well-targeted, causing losses, and not achieving an equal distribution of food security programs. Looking from a more visionary perspective, the success of clustering provides an opportunity for the government to focus more on allocating budget, resources, and time according to the results of the clustering. Based on the results of the provincial clustering, two clusters were obtained, namely provinces with high food security (Cluster 1) and low food security (Cluster 2). Cluster 1 has lower constituent components than Cluster 2.
Developing problem-based learning electronic student worksheet for number pattern topic
Prasetyo, Puguh Wahyu;
Atsila, Khasna Salma
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i2.6813
The background of this research is the lack of technology-based learning materials, teachers, and students' need for the variety of new learning materials in SMP Negeri 1 Bantarkawung. This study aimed (1) to produce problem-based learning electronic student worksheets for number patterns and (2) to know the usefulness of problem-based learning electronic student worksheet for number patterns in terms of validity and practicality. It was the R&D (Research and Development) using ADDIE (Analyze, Design, Development, Implementation, and Evaluation) model. This research was conducted in class VIII A SMP Negeri 1 Bantarkawung involving six students in a small class trial and twenty-eight students in a big class trial. The research instruments were interview guidelines and questionnaires to material experts, media experts, and students' responses. The results showed that students' electronic worksheets were valid and practical. The evaluation by students' electronic worksheet material expert got 70,50, categorized as very valid. The review from media experts showed that Students' Electronic Worksheet got 68,50, which was classified as very valid. Meanwhile, the small class trial got 62,84, categorized as practical. Moreover, the big class trial got 65,39, and was classified as practical.
On Conformable, Riemann-Liouville, and Caputo fractional derivatives
Guswanto, Bambang Hendriya;
Andini, Leony Rhesmafiski;
Triyani, Triyani
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i2.7072
This article compares conformable fractional Derivative with Riemann-Liouville and Caputo fractional derivative by comparing solutions to fractional ordinary differential equations involving the three fractional derivatives via the numerical simulations of the solutions. The result shows that conformable fractional derivative can be used as an alternative to Riemann-Liouville and Caputo fractional derivative for order α with 1/2<α<1.
Optimal control on education, vaccination, and treatment in the model of dengue hemorrhagic fever
Haafidhoh, Eva Annisa;
Adi, Yudi Ari;
Irsalinda, Nursyiva
Bulletin of Applied Mathematics and Mathematics Education Vol. 2 No. 2 (2022)
Publisher : Universitas Ahmad Dahlan
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DOI: 10.12928/bamme.v2i2.7617
Dengue hemorrhagic fever (DHF) is an infection caused by the dengue virus which is transmitted by the Aedes aegypti mosquito. In this paper, a model of the spread of dengue disease is developed using optimal control theory by dividing the population into Susceptible, Exposed, Infected, and Recovered (SEIR) sub-populations. The Pontryagin minimum principle of the fourth-order Runge-Kutta method is used in the model of the spread of dengue disease by incorporating control factors in the form of education and vaccination of susceptible human populations, as well as treatment of infected human populations. Optimum control aims to minimize the infected human population in order to reduce the spread of DHF. Simulations were carried out for two cases, namely when the basic reproduction number is less than one for disease-free conditions and greater than one for endemic conditions. Based on numerical simulations of the SEIR epidemic model with controls, it results that the optimal strategy is achieved if education controls, vaccinations, and medication are used.