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Journal : MES: Journal of Mathematics Education and Science

ANALISIS KEMAMPUAN BERPIKIR KOMPUTASI MAHASISWA DALAM PEMBUKTIAN INDUKSI MATEMATIKA Syahlan, Syahlan; Siregar, Rosliana; Malay, Irval
MES: Journal of Mathematics Education and Science Vol 9, No 1 (2023): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i1.8738

Abstract

The increasingly rapid development of technology and information has enabled transformation in the fields of education and teaching. This is clearly seen in the current curriculum expectations, where one of the expected learning outcomes from elementary school to middle school is that students are expected to have computational thinking skills. For this reason, the aim of this research is to look at students' abilities related to their computational thinking abilities. in solving the problems given. The results of the answers given by students are then analyzed according to the four foundations of computational thinking. This research is descriptive research with a qualitative approach. This research was carried out in the Mathematics Education study program, Universitas Islam Sumatera Utara in the Number Theory course. The sample used was 12 students taking Number Theory courses. The instrument used is a description of 2 questions which are given during the learning process on mathematical induction material. The students' answer sheets were then analyzed to get a picture of students' computational thinking abilities based on the four foundations. The results of this research show that students' computational thinking abilities still need to be improved, such as decomposition abilities which are 41.67% and abstraction abilities which are 58.33%. Overall, students' computational thinking abilities are still in the sufficient ability category.
PENGEMBANGAN E-MODUL BERBASIS DISCOVERY LEARNING MENGGUNAKAN SOFTWARE EXE-LEARNING PADA MATERI FUNGSI KELAS X SMA Haloho, Elysha Jefirayani; Azis, Zainal; Afnaria, Afnaria; Syahlan, Syahlan
MES: Journal of Mathematics Education and Science Vol 9, No 2 (2024): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i2.9755

Abstract

The rapid development of science and technology encourages renewal efforts in the utilization of various technological results in the learning process, such as utilizing digital-based learning media. This research aims to produce e-module learning tools based on discovery learning on quadratic function material for class X SMA students that are valid, practical, and effective. The research method used is Research and Development with Thiagarajan 4-D development model: define, design, develop, and disseminate. The subject of this research is the production of e-modules based on the discovery learning model. The object of this research is the students of SMA Negeri 1 Purba, totaling 33 students. The instruments used in this study were validation questionnaires and student responses to the e-modules developed as well as student learning outcomes tests. The results of this study indicate that the e-Module developed has met the requirements of validity and practicality as stated in the results of the questionnaire given. In addition, the e-module developed was also declared effective based on the student learning outcomes test with an average of 78,79% and included in the good category.
ANALISIS KEMAMPUAN COMPUTATIONAL THINKING MAHASISWA CALON GURU MATEMATIKA PADA PROGRAM PROFESI PENDIDIKAN GURU kinanti, anggi anatasia; Syahlan, Syahlan; Siregar, Rosliana
MES: Journal of Mathematics Education and Science Vol 10, No 2 (2025): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v10i2.11758

Abstract

This study aims to analyze the Computational Thinking (CT) abilities of prospective mathematics teacher students enrolled in the Teacher Professional Education Program at Universitas Islam Sumatera Utara. Using a descriptive quantitative approach, CT abilities were examined based on four main indicators: decomposition, pattern recognition, abstraction, and algorithmic thinking. Data were collected through contextual open-ended tests, perception questionnaires, and limited interviews involving 24 PPG students. The results showed that, in general, students' CT abilities fell into the moderate category, with the highest achievement in pattern recognition and the lowest in abstraction. Most students had never received explicit instruction in CT, yet acknowledged that this approach helped them solve mathematical problems more systematically. These findings highlight the importance of explicitly integrating CT skills into mathematics education curricula through problem-based and digital literacy-oriented learning approaches. The study recommends strengthening instructional strategies to develop students’ systematic and logical thinking abilities as future mathematics educators.
PENGEMBANGAN E-MODUL BERBASIS DISCOVERY LEARNING MENGGUNAKAN SOFTWARE EXE-LEARNING PADA MATERI FUNGSI KELAS X SMA Haloho, Elysha Jefirayani; Azis, Zainal; Afnaria, Afnaria; Syahlan, Syahlan
MES: Journal of Mathematics Education and Science Vol 9, No 2 (2024): Edisi April
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i2.9755

Abstract

The rapid development of science and technology encourages renewal efforts in the utilization of various technological results in the learning process, such as utilizing digital-based learning media. This research aims to produce e-module learning tools based on discovery learning on quadratic function material for class X SMA students that are valid, practical, and effective. The research method used is Research and Development with Thiagarajan 4-D development model: define, design, develop, and disseminate. The subject of this research is the production of e-modules based on the discovery learning model. The object of this research is the students of SMA Negeri 1 Purba, totaling 33 students. The instruments used in this study were validation questionnaires and student responses to the e-modules developed as well as student learning outcomes tests. The results of this study indicate that the e-Module developed has met the requirements of validity and practicality as stated in the results of the questionnaire given. In addition, the e-module developed was also declared effective based on the student learning outcomes test with an average of 78,79% and included in the good category.
ANALISIS KEMAMPUAN BERPIKIR KOMPUTASI MAHASISWA DALAM PEMBUKTIAN INDUKSI MATEMATIKA Syahlan, Syahlan; Siregar, Rosliana; Malay, Irval
MES: Journal of Mathematics Education and Science Vol 9, No 1 (2023): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i1.8738

Abstract

The increasingly rapid development of technology and information has enabled transformation in the fields of education and teaching. This is clearly seen in the current curriculum expectations, where one of the expected learning outcomes from elementary school to middle school is that students are expected to have computational thinking skills. For this reason, the aim of this research is to look at students' abilities related to their computational thinking abilities. in solving the problems given. The results of the answers given by students are then analyzed according to the four foundations of computational thinking. This research is descriptive research with a qualitative approach. This research was carried out in the Mathematics Education study program, Universitas Islam Sumatera Utara in the Number Theory course. The sample used was 12 students taking Number Theory courses. The instrument used is a description of 2 questions which are given during the learning process on mathematical induction material. The students' answer sheets were then analyzed to get a picture of students' computational thinking abilities based on the four foundations. The results of this research show that students' computational thinking abilities still need to be improved, such as decomposition abilities which are 41.67% and abstraction abilities which are 58.33%. Overall, students' computational thinking abilities are still in the sufficient ability category.