Sahid Sahid
Department of Mathematics, Universitas Negeri Makassar, Indonesia

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Analysis of Student Errors in Solving Statistics Problems in terms of Mathematical Ability Nurwati Djam'an; Sahid Sahid; Fitrah Auliyah
SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education Vol. 11 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/sainsmat452

Abstract

This research is a qualitative research that aims to find out student errors. The research subjects consisted of 3 students. The technique of taking the subject in this study amounted to three students with high, medium and low mathematical ability categories. The instrument in this study used tests and interviews. Data collection techniques in this study are giving tests and interviews. The data analysis technique uses the Miles and Huberman model, namely data reduction, data presentation, and conclusions. Based on the results of the study, it showed that students with low abilities made four types of errors, namely, comprehension errors, transformation errors, process skill errors. Students with moderate math skills make three types of errors, namely, transformation errors, process skill errors, and encoding errors, and students with high math skills make 2 types of errors, namely transformation errors and encoding errors.
The Description of Student's Mathematical Communication Skills in Solving Circle Problems in Term of Learning Style Suradi Tahmir; Sahid Sahid; Erjun D.
SAINSMAT: Journal of Applied Sciences, Mathematics, and Its Education Vol. 11 No. 2 (2022)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/sainsmat723

Abstract

This research aims to find out the description of a student's mathematical communication skills in solving circle problems, judging from learning style. The type of research used is qualitative research with a descriptive approach.There are six research subjects namely, two visual learning style students, two auditorial learning style students, and two kinesthetic learning style students. The main instrument in this research is the researcher and supporting instruments used are written test instruments and interview guidelines. Data collection techniques in this study are tests and interviews. Data analysis techniques were used, namely data condensation, data presentation, and drawing conclusions. The results showed that subjects with visual learning styles were able to meet all indicators of mathematical communication ability while subjects with auditory learning styles and kinesthetic learning styles were only able to meet 3 of 5 indicators of mathematical communication ability.