Dina Olivia Nainggolan
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Pengaruh Peran Bahasa Indonesia Dalam Konteks Soal Cerita Matematika Dina Olivia Nainggolan; Ika Febriana; Combest Prajogo Tambunan; Raja Harly Anugrah Lubis
Jurnal Nakula : Pusat Ilmu Pendidikan, Bahasa dan Ilmu Sosial Vol. 2 No. 4 (2024): Juli : Pusat Ilmu Pendidikan, Bahasa dan Ilmu Sosial
Publisher : Asosiasi Riset Ilmu Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/nakula.v2i4.909

Abstract

In this research, it was found that mathematical literacy and language literacy have an important role in students' ability to understand and solve mathematical story problems. Language literacy skills, such as the ability to read and understand text, can influence students' ability to solve mathematical problems presented in story form. Improving students' numeracy skills does not only require acceptance of mathematical material, but also the ability to understand and apply mathematical material in everyday life. This shows the importance of students being able to relate mathematical concepts to real situations in everyday life. Mathematical literacy and language literacy are closely related in the context of mathematics story problems. The type of research carried out was descriptive research with literature study. The research method used is a quantitative method by collecting data from previous research and data analysis using the SPSS application. The results of the research show that there is a correlation between Indonesian language literacy and students' mathematical numeracy literacy in solving mathematics story problems. Based on research conducted, Indonesian language scores influence mathematics scores by 54.1%. This proves that Indonesian is very important to learn to expand understanding in solving mathematical story problems. The ability to understand questions/problems of course really depends on the student's reading ability or Indonesian language literacy.
Analisis Kemampuan Mahasiswa Matematika FMIPA Unimed dalam Menyelesaikan Pertidaksamaan Nilai Mutlak dengan Berbantuan Python Ameliya Ameliya; Dina Olivia Nainggolan; Handre Gabriel Pinem; Retno Ayu Zalianti
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 2 No. 5 (2024): Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v2i5.250

Abstract

This research aims to analyze the ability of Unimed FMIPA Mathematics students in solving absolute value inequalities with the help of the Python program. The problem faced is that students often have difficulty solving inequality problems manually. The purpose of this research is to see the effectiveness of using Python in helping to solve absolute value inequalities and how it affects understanding of mathematical concepts. The method used was qualitative research with a sample of 20 fifth semester students of the Mathematics Study Program, FMIPA, Medan State University. Students are given absolute value inequality problems to solve manually and with the help of Python. Data was collected through online tests and questionnaires using Google Form. The research results show that the majority of students feel that using Python is very helpful in solving absolute value inequalities. As many as 95% of students consider Python to be effective in making it easier to solve mathematical problems and increasing understanding of the concept of absolute value.
Penggunaan Bahasa Pemrograman Python dalam Pembelajaran Kalkulus Fungsi Dua Variabel Surbakti, Nurul Maulida; Angelyca Angelyca; Anita Talia; Cecilia Br Perangin-Angin; Dina Olivia Nainggolan; Nia Devi Friskauly; Sikap Ruth Br Tumorang
Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa Vol. 2 No. 3 (2024): Algoritma : Jurnal Matematika, Ilmu pengetahuan Alam, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/algoritma.v2i3.67

Abstract

In everyday life, three-dimensional shapes are ubiquitous, manifesting in structures such as houses, bottles, and vehicles. These shapes, characterized by length, width, and height, represent the application of functions of two variables, particularly within spatial domains. This research employs Python programming to model functions of two variables, specifically focusing on spatial surfaces. Leveraging the Matplotlib module, graphical representations of these functions are generated, while the NumPy module facilitates mathematical analyses, including identifying extremal values, critical points, and tangent lines. Results demonstrate the efficacy of Python in efficiently modeling functions of two variables. Through this approach, readers gain insights into the inherent characteristics and behaviors of such functions within spatial contexts, thereby simplifying mathematical analyses and enhancing comprehension.