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All Journal Fraktal: Jurnal Matematika dan Pendidikan Matematika
Irna Karlina Sensiana Blegur
081258421689
Mathematics

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Problem Posing: Strategi yang Memfasilitasi Keterampilan Berpikir Tingkat Tinggi Matematika Siswa Irna Karlina Sensiana Blegur
Fraktal : Jurnal Matematika dan Pendidikan Matematika Vol 3 No 1 (2022): Mei 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/fractal.v3i1.7292

Abstract

Higher Order Thinking Skills (HOTS) is one of the main goals in learning mathematics. Learning through problem solving is the key to developing this ability. Problem solving itself can be interpreted as an activity to solve complex problems which is problems that do not have automatic solutions but require reasoning to solve them. Generally, problems like these are given by the teacher during learning, then ask students to solve, with hope that students will learn and the development the HOTS during solving these problems. On the other hand, learning to solve problems can also be done using problems raised by the students themselves or known as problem posing. This strategy directs students to create new problems or reformulate problems based on the problems or information provided and then solve these new problems. This article aims to discuss problem posing strategy and examples of problem design using this strategy in integral calculus learning. Furthermore, how the problem posing strategy can facilitate students' mathematics HOTS during learning is also discussed in this article.
Kajian Interpolasi Dua Dimensi dalam Tabel Nilai Kritik Sebaran F Berbantuan Program Matlab Irna Karlina Sensiana Blegur
Fraktal : Jurnal Matematika dan Pendidikan Matematika Vol 2 No 1 (2021): Mei 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (749.062 KB) | DOI: 10.35508/fractal.v2i1.4034

Abstract

The purposes of this research are to examine how to perform two-dimensional interpolation for determine the value of the F distribution, to make a two-dimensional interpolation program using Matlab and reviewing the comparison of the methods used (manually and program). This research was conducted by using literature study approach. The results of this research are: first, the two-dimensional interpolation in F distribution table can be done using the successive univariate polynomial interpolation. Two-dimensional interpolation formulas can be made by referring to the general form of Lagrange and Newton's interpolation polynomials. Second, a two-dimensional interpolation program assisted by Matlab that is a program that can determine the intermediate value of a function in two variables using the Lagrange and Newton’s polynomial interpolation formula has been created. Third, based on the final results, there is no difference shown by the two methods used. Judging from the process, two-dimensional interpolation using the Lagrange polynomial method has advantages in simplicity of programming, but requires a long time in manual completion. While the Newton polynomial interpolation method has advantages in the simplicity of the manual work process, but it requires a long time to make the program.
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