Skripsi

KEMAMPUAN COMPUTATIONAL THINKING SISWA KELAS X MATERI SPTLDV MELALUI PEMBELAJARAN PEMECAHAN MASALAH BERBANTUAN GEOGEBRA

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Computational thinking is the ability to think systematically in understanding and solving problems. This study aims to describe students' computational thinking abilities through the application of problem-solving-based learning in Two-Variable Linear Inequality Systems (SPtLDV) material assisted by GeoGebra based on four indicators of computational thinking, namely decomposition, pattern recognition, abstraction, and algorithms. The research subjects were 36 tenth-grade students at Srijaya Negara High School in Palembang. The data collection techniques used included observation, tests, and interviews. The results showed that the students' responses to the GeoGebra-assisted problem-solving learning process were good, in which the students followed all stages of learning and utilized GeoGebra in problem solving. Based on the test results, 6 students (18.18%) were in the high category with scores above 76.21, 18 students (54.54%) were in the medium category with scores ranging from 18.56 to 76.21, and 9 students (27.27%) were in the low category with scores below 18.56. Furthermore, the average percentage of computational thinking ability for each indicator shows that the decomposition indicator obtained a percentage of 58%, pattern recognition 39%, abstraction 35%, and algorithms 40%, making abstraction the indicator with the lowest percentage.

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Detail Information

Series Title

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Call Number

T1925452026

Publisher

Indralaya : Prodi Pendidikan Matematika, Fakultas Keguruan dan Ilmu Pendidikan Universitas Sriwijaya., 2026

Collation

xvi, 241 hlm.; ilus.; tab.; 29 cm.

Language

Indonesia

ISBN/ISSN

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Classification

510.760 7

Content Type

Text

Media Type

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Carrier Type

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Edition

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Subject(s)

Prodi Pendidikan Matematika
Pendidikan--Pemecahan Masalah

Specific Detail Info

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Statement of Responsibility

MI

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