Meningkatkan Berpikir Komputasi Siswa Melalui Aktivitas Unplugged: Studi Action Research pada Binary Search Trees

Computational thinking is an essential skill in the digital age that includes problem solving, data analysis, and understanding algorithms. Unplugged activities, which introduce the concept of computing without electronic devices, are an effective and inclusive alternative in education, especially in environments with limited access to technology. This study aims to investigate the improvement of students' computational thinking through unplugged activities focusing on Binary Search Trees (BST). The method used is action research with the Kurt Lewin model, involving 42 6th grade elementary school students. The ISTE instrument was used to measure computational thinking skills. The results showed an increase in computational thinking skills, with 14.29% of students still not developing, 83.33% of students starting to develop, and 2.38% of students developing as expected. In conclusion, unplugged activities focusing on BST can significantly improve students' computational thinking skills, offering an innovative teaching method that can be applied in various educational contexts.

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Publication Details

Journal
Jurnal Sains dan Ilmu Terapan
Published
2024-12-31
DOI
https://doi.org/10.59061/jsit.v7i2.916
Citations
1
Primary Topic
Data Mining and Machine Learning Applications
Type
article
Field-Weighted Citation Impact
0.78
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article

Meningkatkan Berpikir Komputasi Siswa Melalui Aktivitas Unplugged: Studi Action Research pada Binary Search Trees

Lala Septem Riza, Rani Megasari, Wahyudin Wahyudin, Rangga Destian et al.
1 citations
Jurnal Sains dan Ilmu Terapan
Data Mining and Machine Learning Applications
0.78
article

Meningkatkan Berpikir Komputasi Siswa Melalui Aktivitas Unplugged: Studi Action Research pada Binary Search Trees

Lala Septem Riza, Rani Megasari, Wahyudin Wahyudin, Rangga Destian, Andy Agustian, Muhammad Nursalman, Elisa Rosa, Rasim Rasim
article en
1 citations

Abstract

Computational thinking is an essential skill in the digital age that includes problem solving, data analysis, and understanding algorithms. Unplugged activities, which introduce the concept of computing without electronic devices, are an effective and inclusive alternative in education, especially in environments with limited access to technology. This study aims to investigate the improvement of students' computational thinking through unplugged activities focusing on Binary Search Trees (BST). The method used is action research with the Kurt Lewin model, involving 42 6th grade elementary school students. The ISTE instrument was used to measure computational thinking skills. The results showed an increase in computational thinking skills, with 14.29% of students still not developing, 83.33% of students starting to develop, and 2.38% of students developing as expected. In conclusion, unplugged activities focusing on BST can significantly improve students' computational thinking skills, offering an innovative teaching method that can be applied in various educational contexts.

Jurnal Sains dan Ilmu TerapanVol. 7(2)
Indonesia University of Education (ID)
Openalex Percentile: Top 17%
Data Mining and Machine Learning Applications
0.78
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Meningkatkan Berpikir Komputasi Siswa Melalui Aktivitas Unplugged: Studi Action Research pada Binary Search Trees — Lala Septem Riza, Rani Megasari, et al. · Jurnal Sains dan Ilmu Terapan (2024) | TGRS Research Map | TGRS