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All Journal Protasis: Jurnal Bahasa, Sastra, Budaya, dan Pengajarannya Pentagon: Jurnal Matematika dan Ilmu Pengetahuan Alam
Roberto Karlos Sinaga
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Humanities Languange, Linguistic, Communication & Media Mathematics

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Penggunaan Bahasa Indonesia dalam Pembelajaran Matematika Zahra Putri; Angelyca; Ika Febriana; Roberto Karlos Sinaga
Protasis: Jurnal Bahasa, Sastra, Budaya, dan Pengajarannya Vol. 3 No. 1 (2024): Juni : Jurnal Bahasa, Sastra, Budaya, dan Pengajarannya
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/protasis.v3i1.134

Abstract

Mathematics teaching and learning faces significant challenges, including the use of language as a communication tool. So the research was carried out to determine the use and correlation of language, especially Indonesian with and in learning mathematics. The scope of this research is the use of language in mathematics and the correlation between the two. This research uses a qualitative descriptive method with literature study. From the research, it was found that language and mathematics are positively correlated and language is used to describe mathematical concepts and to explain patterns, properties and relationships between mathematical objects.
Implementasi Metode Numerik dan Simbolik dengan Python untuk Penentuan Nilai Limit Fungsi Anita Talia; Angelica Angelica; Agatha Anggraini Tumanggor; Febryanti Hasibuan; Roberto Karlos Sinaga; Ocha Hosea Sigalingging
Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam Vol. 2 No. 4 (2024): Desember: Pentagon : Jurnal Matematika dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/pentagon.v2i4.279

Abstract

This study analyzes the utilization of Python as a tool for calculating function limits, with an emphasis on the application of the SymPy and NumPy libraries. The flexibility of Python allows researchers to perform mathematical calculations efficiently, employing both the symbolic approach provided by SymPy and the numerical methods offered by NumPy. SymPy facilitates the management of complex mathematical expressions and produces accurate symbolic results, while NumPy provides speed and efficiency in executing numerical computations. With active community support and regular updates to the libraries, Python proves to be a robust and flexible environment for research in the field of mathematics. Findings from this study indicate that the combination of these two libraries not only enhances the accuracy of limit calculations but also accelerates the research process, making it a relevant choice in both academic and practical contexts..
Co-Authors Agatha Anggraini Tumanggor Angelica Angelica Angelyca Anita Talia Febryanti Hasibuan Ika Febriana Ocha Hosea Sigalingging Zahra Putri