PROFIL KEMAMPUAN COMPUTATIONAL THINKING SISWA KELAS V SEKOLAH DASAR SEKECAMATAN TEGOWANU KABUPATEN GROBOGAN TAHUN 2024

Abstract

This study aims to determine the computational thinking abilities of grade 5 students at public elementary schools in Tegowanu sub-district, Grobogan Regency with the benefit of being a benchmark for implementing learning and innovation that leads to students' computational thinking abilities. The research uses a quantitative approach with descriptive analysis techniques, the method for determining the sample is cluster random sampling, namely by forming groups of schools based on villages then taking one school in each village to represent the population. Data analysis using SPSS version 20 with a significance level of 5% obtained 13 state elementary schools as a sample with a total of 253 out of 739 students. As a benchmark for students' computational thinking abilities, data was taken using the 2018 bebras challenge instrument which students completed offline within 45 minutes. The research results showed that the computational thinking ability profile of grade 5 students in Tegowanu sub-district was in the medium category with an average score of 42.39. The percentage of decomposition ability is 62%, pattern recognition 40%, abstraction 40%, and algorithm 31%. There are many factors behind the ability to think computationally and there are still many students who have not solved problems with good computational thinking skills.