Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education
Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education encompasses original research in mathematics and mathematics education and not submitted to another journal or conference from a range of research fields such as research and development, experimental research, survey, classroom action research, etc. This journal is designed and devoted to university students, lecturers, teacher educators, scholars, mathematics school instructors, who want to publish their research reports. Mathematics Education Innovation in mathematics education Technology in mathematics education Teaching and learning Mathematics ability STEM (Science, Technology, Engineering, and Mathematics) RME (Realistic Mathematics Education) Ethnomathematics Etc Pure Mathematics Algebra Statistics Analysis Applied mathematics
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26 Documents
<![CDATA[Estimasi Parameter Model Autoregressive dengan Metode Yule Walker, Least Square, dan Maximum Likelihood (Studi Kasus Data ROA BPRS di Indonesia) ]]>
<![CDATA[Maulida Nurhidayati]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.011-01
<![CDATA[The Autoregressive model is a time series univariate model for stationary models. In estimating parameters on this model can be done by several methods, namely yule-walker method, Least Square, and Maximum Likelihood. Each method has a different principle for estimating model parameters so that the results obtained will also be different. Based on this, in this study, the AR(1) model parameter estimation was estimated by generating data simulated 1000 times to see the performance of Yule-Walker, Least Square, and Maximum Likelihood methods. In addition, the comparison of these three methods is also done on ROA BPRS data that follows the AR(1) model. The results showed that the Maximum Likelihood method was able to provide mode results and comparison of the most suitable estimation results for simulation data and produce the smallest MAE values in the data in sample and MAPE, MSE, and MAE the smallest in the out sample data. These results show that the Maximum Likelihood method is the best method for modeling data that follows the AR(1) model.]]>
<![CDATA[A Weighted Markov Chain Application to Predict Consumer Price Index When Facing Pandemic Covid-19 ]]>
<![CDATA[Indah Purnama Sari Siregar]]>;
<![CDATA[Rina Widyasari]]>;
<![CDATA[Nurul Huda Prasetya]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.011-06
<![CDATA[Covid-19 is an infectious disease caused by acute respiratory syndrome coronavirus 2 (severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2). It makes the decrease of people's purchasing power. Meanwhile, the economic growth indicates the success of a country's economic development. Therefore, the Consumer Price Index occurs Inflation and Deflation, which is commonly referred to in the economy as the Consumer Price Index. This study aimed to apply a weighted Markov chain method to predict the consumer price index in the future. The satisfactory results obtained by researchers in predicting the consumer price index are in, the chance is 84.34% and the 12th month has a 78.54% chance.]]>
<![CDATA[Pengategorian Provinsi Berdasarkan Kelompok Sukses dan Gagal dalam Penanganan Pandemik Covid-19 di Indonesia Menurut Analisis Diskriminan ]]>
<![CDATA[Endro Tri Susdarwono]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.011-05
<![CDATA[An assessment of categorizing the handling of Covid-19 by the Regional Government is needed, this categorization includes the handling performance (KP) and the death rate (TK) of Covid-19. This was done to see how serious the local government is in handling Covid-19. The approach in this study uses a descriptive approach, this approach aims to describe or describe the categorization of provinces based on groups that have succeeded and failed in handling the Covid-19 pandemic in Indonesia. In this research, the method used is quantitative method. The quantitative approach used is discriminant analysis. The conclusion of this study is that the discriminant function formed in this study is Z = 0.893 KP + 0.451 TK. The results of eigenvalues in this study indicate that the magnitude of Canonical Correlation is 0.797 or the amount of Square Canonical Correlation (CR2) = (0.797) 2 or equal to 0.635. So it can be concluded that 63.5% of the variation between groups of successful and failed provinces can be explained by the discriminant variables of the KP and TK ratios. The view of the matrix structure in this study shows that the amount of loading for KP is 0.842 and the amount of loading for TK is 0.332. The two variables of the Covid 19 handling ratio are high enough so that the discriminant score can be interpreted as a measure of the success of the handling of Covid 19 at the Provincial Government. Meanwhile, the results of the classification matrix show that 32 observations have been classified correctly and only two observations are classified incorrectly, namely the observations number 18 and 19, so the classification accuracy is (32/34) or 94.1%.]]>
<![CDATA[The Effectiveness of Clarke Wright and Sequential Insertion Algorithm in Distribution Routing Aqua ]]>
<![CDATA[Ayu Hariati]]>;
<![CDATA[Nurul Huda Prasetya]]>;
<![CDATA[Hendra Cipta]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.011-03
<![CDATA[With the Multiple Trips condition, the results obtained for the optimal distance route that starts and stops at PT. Tirta Investama Medan with Clarke Wright Algorithm at t = 1 is 22 km and at t = t + 1 is 15.2 km. While the optimal travel distance route with the Sequential Insertion Algorithm at t = 1 is 15.05 km, and at t = t + 1 is 22.9 km. Clarke Wright Algorithm looks for an optimal solution to get the best route, while Sequential Insertion Algorithm has an excess in the election of a customer by considering customer position with available insertion track location until all customer have been assigned. The Clarke Wright Algorithm obtained a total distance of 37.2 km. In comparison, the Sequential Insertion Algorithm solution obtained a total distance of 37.95 km. It can be concluded that the route formed using the Clarke Wright Algorithm in this case is more effective than using the Sequential Insertion Algorithm.]]>
<![CDATA[Analysis of Students’ Errors in Solving Social Arithmetic Word Problems in terms of the Learning Styles ]]>
<![CDATA[Agus Indra Gunawan]]>;
<![CDATA[Yuni Tri Astuti]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 2 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.012-03
<![CDATA[Some abilities are needed to solve word problems, one of which is the ability to understand sentences and symbols in the problem. One factor that affects the ability of each student is learning style. Learning style is a person's tendency to receive and process information to the maximum, learning styles can be grouped into three, namely visual, auditory, and kinesthetic learning styles. The purpose of this study is to analyze and describe the forms of errors made by students in solving social arithmetic word problems in terms of the learning styles. Data collection procedures in this study are giving learning style questionnaire, written test, and interview. The research subjects are two VII grade students at SMP Negeri 1 Malang from each learning styles. The results of the analysis of this research are that students with visual learning style error occurs at the step of devising a plan, carriying out the plan, and looking back. While students with auditory and kinesthetic learning style error occurs at the understanding the problem, devising a plan, carriying out the plan, and looking back. The error forms occur in all learning styles.]]>
<![CDATA[Aplikasi Pemetaan terkait Semi-Inner Produk pada Ruang Bernorma Real ]]>
<![CDATA[Aulia Khifah Futhona]]>;
<![CDATA[Supama]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.011-02
<![CDATA[In this article, we give the properties of mappings associated with the upper semi-inner product , lower semi-inner product and Lumer semi-inner product which generate the norm on a real normed space. Furthermore, we establish applications to the Birkhoff orthogonality and characterization of best approximants.]]>
<![CDATA[Students Team Achievement Division (STAD): Model Pembelajaran Kooperatif untuk Meningkatkan Kerja Sama Peserta Didik ]]>
<![CDATA[Arif Dwihantoro]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.011-04
<![CDATA[The research aimed to increase students' cooperation skills and to describe mathematics learning quality through cooperative learning models, types Students Team Achievement Division (STAD). This research is a classroom action research using model of Kemmis Taggart. The subject is 11 grades students of Mathematics and Natural Science 3 in 1 Wates Senior High School. The findings indicated that the learning model, style Students Team Achievement Division (STAD), could improve students' cooperation skill. The excellent implementation is shown by an improvement in the percentage of student cooperation in mathematics instruction, namely from the results of the first cycle, the average performance of cooperation is 67.8% of students in the high and very high category and an increase in the second cycle by 82.2% of students in the high and very high category. The results of observations of the implementation of mathematics learning using cooperative learning model, type Students Team Achievement Division (STAD), in cycle I revealed a percentage of 91%, which increased to 96% in cycle II.]]>
<![CDATA[Penerapan Fungsi Green dari Persamaan Poisson pada Elektrostatika ]]>
<![CDATA[Fathul Khairi]]>;
<![CDATA[Malahayati]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.011-08
<![CDATA[The Dirac delta function is a function that mathematically does not meet the criteria as a function, this is because the function has an infinite value at a point. However, in physics the Dirac Delta function is an important construction, one of which is in constructing the Green function. This research constructs the Green function by utilizing the Dirac Delta function and Green identity. Furthermore, the construction is directed at the Green function of the Poisson's equation which is equipped with the Dirichlet boundary condition. After the form of the Green function solution from the Poisson's equation is obtained, the Green function is determined by means of the expansion of the eigen functions in the Poisson's equation. These results are used to analyze the application of the Poisson equation in electrostatic.]]>
<![CDATA[Students’ Metacognitive Process in Mathematical Problem Solving Based on Cognitive Style ]]>
<![CDATA[Rina Apriyani]]>;
<![CDATA[Ibrahim]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 1 (2021): April 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.11-07
<![CDATA[This study is a qualitative literature review aimed to describe junior high school students’ metacognitive process in mathematical problem solving based on field independent and field dependent cognitive style. The research was done based on these following steps: 1) Data library relevant to variable and in accordance to the data source criteria was collected; 2) the data library was classified according to the grade and the subjects; 3) the data was analyzed. The instruments used in this study were the researchers and interview. The interview was conducted to confirm the classified data. Based e this study, it can be concluded that students using field independent style, competently can employ metacognitive process in planning, monitoring, and evaluating because they can write down the known fact and the question using mathematical symbol, choose the appropriate strategy, and answer the question thoroughly. Students using field dependent style were having difficulties in writing down the known fact and the question using mathematical symbol, choosing an appropriate strategy, and answering the question thoroughly.]]>
<![CDATA[The Application of Logistic Regression to Measure the Impact of Covid-19 Pandemic on Household Credit Financing ]]>
<![CDATA[Devi Nurtiyasari Nurtiyasari]]>;
<![CDATA[Angga Syahputra]]>;
<![CDATA[Rashif Hilmi]]>
<![CDATA[ Quadratic: Journal of Innovation and Technology in Mathematics and Mathematics Education Vol. 1 No. 2 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[Pusat Studi Pengembangan Pembelajaran Matematika Sekolah UIN Sunan Kalijaga Yogyakarta Jl. Marsda Adisucipto, Yogyakarta 55281 ]]>
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DOI: 10.14421/quadratic.2021.012-01
<![CDATA[The spread of the Covid-19 outbreak has a direct impact on the economic sector. The impact of Covid-19 on the economic sector can be seen from Non-Performing Loans (NPL). Credit financing affects the Financial System Stability. Furthermore, households are the sector most affected by Covid-19, because household income is obtained from other sectors that are also affected by the spread of Covid-19. This impact can be seen in terms of income, savings/assets, and consumption. This study aims to analyze the impact of Covid-19 as measured by the variables of income, savings/assets, and consumption on household credit financing using the Logistic Regression Model. The modelling results show that the consumption and savings variables do not have a significant effect on household credit financing, while the income variables have a significant effect and are able to predict 15.5% of the variability of household credit financing. Furthermore, based on the odds ratio value of the model, information is obtained that the effect of decreased household income during the Covid-19 pandemic affected one time on the value of the odds ratio for household credit financing. Overall, the model was able to predict the data correctly by 81.4%.]]>
