Gunawan Gunawan
(Scopus ID: 57212394473) Universitas Muhammadiyah Purwokerto

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PROSES BERPIKIR KOMPUTASIONAL SISWA BERDASARKAN PRIOR KNOWLEDGE Gunawan Gunawan; Joko Purwanto; Fitrianto Eko Subekti
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol 13, No 4 (2024)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v13i4.9982

Abstract

Prior knowledge is one of the primary factors in the birth of ideas in computational thinking. Solving problems in the 21st century requires computational thinking skills. The computational thinking process involves abstraction, design, decomposition, algorithms, and verification. Research was conducted to describe students' computational thinking processes in solving contextual problems based on previous knowledge. The research process uses qualitative with an explanatory approach. A total of 40 students were grouped into low, medium, and high prior knowledge categories. One subject was taken in each category using purposive sampling. Tests and interviews were carried out for data collection. Data analysis consists of data reduction, presentation, and conclusions. The research results show that students in the high and medium prior knowledge categories wholly and correctly prove each computational thinking stage. Students can present problems visually, explain the flow of solution ideas used, write down the steps in detail and precisely, and check all solutions and final conclusions. Students in the low prior knowledge category need to improve at the design and algorithm stages—students' errors in interpreting the problem abstractly so that there is some misinformation. As a result, the completion steps and wrong results are obtained at the algorithm stage. The research results can be used to determine learning strategies in the classroom so that computational thinking skills increase.
PROSES LITERASI STATISTIKA CALON GURU MATEMATIKA DITINJAU DARI PENGETAHUAN AWAL Gunawan Gunawan; Joko Purwanto; Fitrianto Eko Subekti; Swaditya Rizki
AKSIOMA: Jurnal Program Studi Pendidikan Matematika Vol. 14 No. 4 (2025)
Publisher : UNIVERSITAS MUHAMMADIYAH METRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24127/ajpm.v14i4.14119

Abstract

Literacy skills are important for prospective mathematics teachers in 21st century education, especially in the field of statistics. The purpose of the research was to describe the statistical literacy process based on initial knowledge. The subjects of the study were 50 students of Mathematics Education at the Universitas Muhammadiyah Metro Lampung and the Universitas Muhammadiyah Purwokerto. The research applies a descriptive qualitative method. Data collection used literacy test instruments and in-depth interview guidelines. Based on the results of previous knowledge tests, subjects were grouped into three categories of high, medium, and low. Each category was taken by one person as an informant with purposive sampling techniques. The data analysis technique is carried out with the stages of data reduction, presentation, and final conclusion. The mathematical literacy process includes the stages of data orientation, data processing, and data interpretation. The results of the study prove that students in the early and medium knowledge categories are able to detail activities at the stages of data orientation, processing, and interpretation. Identifying information and main problems is the key for the student to process the data. At the end of the answer, the student is in the high category and is giving a final conclusion and examination of the answer. In contrast to students in the low initial knowledge category, mistakes made in data orientation resulted in errors in applying mathematical concepts. Thus, the process stage and interpretation of data cannot be fulfilled correctly. The results of the study have a positive impact on the mathematical thinking process to solve contextual problems.