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All Journal Jurnal Bunga Rampai Usia Emas Paradikma: Jurnal Pendidikan Matematika EKSAKTA : Jurnal Penelitian dan Pembelajaran MIPA International Journal on Emerging Mathematics Education JURNAL PENDIDIKAN TAMBUSAI Jurnal Cendekia : Jurnal Pendidikan Matematika Khazanah: Jurnal Studi Islam dan Humaniora Sarwahita : Jurnal Pengabdian Kepada Masyarakat M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika International Journal for Educational and Vocational Studies Ideguru: Jurnal Karya Ilmiah Guru Kognitif: Jurnal Riset HOTS Pendidikan Matematika Jurnal Riset sosial humaniora, dan Pendidikan (Soshumdik) Mamangan Social Science Journal International Journal of Trends in Mathematics Education Research (IJTMER) Indonesian Journal of Education and Learning Jurnal Pendidikan Progresif
Bornok Sinaga
Dosen Matematika FMIPA Unimed
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Journal : Paradikma: Jurnal Pendidikan Matematika

 1 
Profile of Students' Computational Thinking Using Problem-Based Learning Models In Review From Learning Style at SMA N 1 Langsa Litia, Nindy; Sinaga, Bornok; Mulyono, Mulyono
PARADIKMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 16 No. 2 (2023): PARADIKMA JURNAL PENDIDIKAN MATEMATIKA (July - December 2023)
Publisher : Study Program of Mathematics Education of Unimed Postgraduate Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/paradikma.v16i2.48110

Abstract

This research examines students' computational thinking abilities in problem-based learning (PBL) classes. (2) Kolb's learning style profile towards students' computational thinking in the PBL context. This type of qualitative research is descriptive in nature, analyzing class XI MIA 4 students at SMAN 1 Langsa using data reduction techniques in assessing Kolb-type learning styles, computational thinking tests, interviews, and documentation. (1) The results of the computational thinking test using the problem-based learning (PBL) learning model showed that the low category was 9 people (25%), the medium category was 15 people (41.44%), and the high category was 12 people (33.33%). Nine low categories, 15 medium categories, and 12 high categories show this. Most students are intermediate computational thinkers. (2) Profile of MS participants with a convergent learning style with indications of decomposition (4 and 90.33%); pattern recognition (3 and 88.35%); thinking algorithm (3 and 72.85%); and patterns of abstraction and generalization (3 and 69.71%). Various learning styles with indications of decomposition (4 and 90.33%); pattern recognition (3 and 80.15%); thinking algorithm (3 and 71.85%); and pattern abstraction and generalization (3 and 69.40%) constitute the profile of DYZ subjects.Keywords: Students' Computational Thinking, Problem Based Learning, Kolb Learning Style.
Analysis of Students' Mathematical Abstraction Ability by Using Problem-Based Learning Model Siregar, Zul Fahmi; Sinaga, Bornok; Sitompul, Pardomuan
PARADIKMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 16 No. 2 (2023): PARADIKMA JURNAL PENDIDIKAN MATEMATIKA (July - December 2023)
Publisher : Study Program of Mathematics Education of Unimed Postgraduate Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/paradikma.v16i2.48315

Abstract

This study aims to determine students' mathematical abstraction ability, answer process and difficulties faced by students in solving derivative problems. The subjects in this study were 11th grade students of SMA SWASTA AN - NIZAM Medan who were taught with the application of PBL model and scientific approach. The instrument in this study is a formative test used to see the level of mathematical abstraction ability and the answer process given by students. The difficulties faced by students in the process of solving the problems given can be known through the interview process conducted and documented through cell phones. Of the 19 students who took the math abstraction ability test, 4 students had high category math abstraction ability (21%). 11 students have medium category math abstraction ability (58%), and 4 students have low category math abstraction ability (21%). Of the 4 problems given, for the recognition stage, problem no 1 can be solved by all students. problem no 2 can be solved by 17 students, problem no 3 can be solved by 12 students and problem no 4 can be solved by 8 students. The decline also occurred at the representation and structural abstraction stages. After being analyzed based on the process of answers given by students and the results of interviews conducted, the decline was caused by: 1. the level of difficulty of the problem, 2. learning experience, 3. reasoning power and 4. literacy skills of each different student.. In this research, the media used to help the research process is geogebra. The use of this media is only limited to how to solve the problems given in other ways besides the concepts taught at school.Keywords: Qualitative Research Analysis; Mathematical Abstraction Ability; Problem Based Learning Model
Analysis of Students' Mathematical Pattern Thinking Ability Through Problem Based Learning Model Using Geogebra Software Gaol, Yulinar Lumban; Sinaga, Bornok; Syahputra, Edi
PARADIKMA: JURNAL PENDIDIKAN MATEMATIKA Vol. 16 No. 2 (2023): PARADIKMA JURNAL PENDIDIKAN MATEMATIKA (July - December 2023)
Publisher : Study Program of Mathematics Education of Unimed Postgraduate Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/paradikma.v16i2.49180

Abstract

This study aims to determine: (1) The level of students' ability to think mathematical patterns through learning models problem based learning by using software geogebra, (2) The process of student answer sheets in solving pattern thinking problems through learning models problem based learning by using software geogebra, (3) Difficulties in solving problems that require the ability to think patterns in learning problem based learning by using software geogebra. This research is a qualitative research with a descriptive approach. Based on the research data, it was found that: (1) The level of students' ability to think mathematical patterns through learning models Problem Based Learning by using software geogebrais at a moderate level. Of the 19 students, 4 students had a 'high' level of mathematical thinking ability, 12 students had a 'moderate' level of mathematical thinking ability, and 3 students had a 'low' level of mathematical thinking ability. (2) The process of student answer sheets in solving pattern thinking through learning problems based learning models problems by using geogebra software found that the errors that appear more often are errors in differentiating concepts between arithmetic sequences and series, (3) Difficulty in pattern thinking skills in learning problem based learning by using geogebra software including difficulties in exploring and identifying, extending and reproducing, comparing, representing and describing.Keywords: Mathematical Patterns Thinking Ability, Problem Based Learning, Geogebra, Qualitatitve Research
Co-Authors Abdurahman Adisaputera Agusmanto J.B. Hutauruk Ahyaningsih, Faiz ANITA . Asmin Panjaitan Baihaqi Siddik Lubis Deny Setiawan Dharma, Andika Dian Armanto E. Elvis Napitupulu, E. Elvis Edi Surya, Edi Edi Syahputra Febindayanti, Azzahra Gaol, Yulinar Lumban Hasibuan, Rabithah Hasratuddin Hasratuddin Indah Purnama Sari Ismail Hanif Batubara Jero Budi Darmayasa, Jero Budi Juniastel Rajagukguk, Juniastel Lena Rosdiana Pangaribuan Lisa Lisa Litia, Nindy Lubis, Khairunnisa Maisarah Mayasari, Fitria Mendrofa, Ratna Natalia Miftahul Jannah Mukhtar Mukhtar Mulyono Mulyono NETTI KARIANI MENDOFA Nurjehan, Rizki Pangaribuan, Rut Kristella Panjaitan, Sorta Corie Ivana Purba, Tuty Novelinda Putri Andini, Putri Rahmi Wahyuni, Rahmi Retno Dwi Suyanti Rezha, Syawaluddin Rusmini Rusmini Sahat Saragih Sariayu, Sariayu Siagian, Philips Pasca G Silalahi, Lulu Brygita Simanjuntak, Ribka Kristina Sinaga, Wita Siregar, Zul Fahmi Siti Mayang Sari Sitompul, Pardomuan Syahputra, Wahyu Indra Syawal Gultom Tiofanny, Tiofanny Waminton Rajagukguk Yessi Kartika