Ragil Meita Alfathy, Ragil Meita
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THE PROFILE OF PHYSICAL PROBLEM-SOLVING BASED ON STUDENT’S PERSONALITY TYPES Alfathy, Ragil Meita; Astuti, Budi; Linuwih, Suharto
Physics Communication Vol 3, No 1 (2019): February 2019
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.733 KB) | DOI: 10.15294/physcomm.v3i1.15258

Abstract

Problem solving is important for learning physics at any level which involves the process of analysing, interpreting, reasoning, predicting, evaluating and reflecting. However, researches about problem-solving strategies or techniques based on students? personality have not been widely practiced. This strategy is important to be studied based on thoughts, characters and actions of students. Therefore, the aims of the research are to connect students problem solving of physics based on their personality and identify students problem solving pattern based on their personality according to The Four Temperament Theory of Keirsey (1998). The method used in this research is descriptive qualitative research with the type of Investigation of Lived Experience that explores inner experiences (Gall et al, 2003). Subjects in this study are 12th grade students of science class program of MAN 1 Banyumas which is determined by stratified sampling approach. They were divided into homogeneous groups. The grouping is based on Keirsey's four personality types: Idealist, Artisan, Guardian and Rational. Each personality type, selected nine students as research subjects are determined using purposive sampling technique. The results showed that the strategy of physics problem solving of Idealist type was conceptual problem solving, Artisan type used intuitive-analogic for solving the problem, Guardian type used intuitive for solving the problem, and Rational type used analogic strategy for solving the problem.
Newman’s error analysis at mathematics pre-service teachers in solving literacy problems Nuha, Muhammad 'Azmi; Alfathy, Ragil Meita; Sangco, Retchelle P.
UNION : Jurnal Ilmiah Pendidikan Matematika Vol 13 No 2 (2025)
Publisher : Universitas Sarjanawiyata Tamansiswa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30738/union.v13i2.20038

Abstract

This study aims to: (1) to provide an overview of the errors of prospective mathematics teacher students in solving mathematics literacy problems based on Newman's Error Analysis, and (2) to provide an overview of the factors that cause prospective mathematics teacher students to make errors in solving mathematics literacy problems. This research is qualitative research using a grounded theory approach. The subjects of this study are 92 prospective mathematics teacher students in the study program of Tadris Mathematics UIN Prof. K.H. Saifuddin Zuhri Purwokerto. The data collection techniques in this study are: (1) test and (2) interview. The analysis technique in this study uses qualitative data analysis techniques consisting of (1) data reduction, (2) data presentation, and (3) conclusion drawn. The data validity technique used in this study is triangulation. The results of the study show that: (1) reading error, comprehension error, and encoding error are not problems for students in solving mathematical literacy problems, transformation errors are problems for students because the errors are found in all four mathematics literacy questions, and process skill errors are problems for students in mathematics literacy questions that measure the ability to connect mathematical facts/concepts to make problem-solving procedures work, and (2) factors that cause prospective mathematics teacher students to make errors in solving mathematical literacy problems include: (a) errors in making mathematical models that involve time, (b) errors in length accuracy, (c) errors affected by images, (d) errors in replacing unknown values with spelling, (e) errors in recalling information, (f) errors in estimating the shape of the 3D Geometric Shapes, (g) errors in remembering mathematical formulas,  (h) error in choosing adjacent concepts, (i) error not recognizing mathematical concepts, (j) error preparing calculations, (k) error converting units, and (l) error inferring with estimates.