PENERAPAN COMPUTER SCIENCE UNPLUGGED UNTUK MENINGKATKAN COMPUTATIONAL THINKING PADA MATA PELAJARAN BASIS DATA

Nandy Ali Musthofa Hakiim, - and Andini Setya Arianti, - and Eki Nugraha, - (2025) PENERAPAN COMPUTER SCIENCE UNPLUGGED UNTUK MENINGKATKAN COMPUTATIONAL THINKING PADA MATA PELAJARAN BASIS DATA. S1 thesis, Universitas Pendidikan Indonesia.

Abstract

Teknologi dalam pembelajaran terus berkembang, namun tantangan dalam meningkatkan kemampuan Computational Thinking siswa serta menumbuhkan keterlibatan aktif mereka sebagai pelajar yang mampu berkolaborasi, dan berinovasi tetap menjadi fokus penting, terutama di mata pelajaran Basis Data. Penelitian ini bertujuan untuk meningkatkan kemampuan Computational Thinking siswa kelas XI RPL SMK Negeri 2 Bandung melalui metode pembelajaran inovatif Computer Science Unplugged (CSU). Penelitian ini menggunakan model pengembangan ADDIE (Analyze, Design, Development, Implementation, Evaluate) dan desain penelitian One-Group Pretest-Posttest. CSU diterapkan melalui empat skenario pembelajaran berbasis aktivitas fisik yang mengintegrasikan komponen Computational Thinking, seperti Decomposition, Pattern Recognition, Abstraction, dan Algoritmic thinking. Hasil penelitian menunjukkan adanya peningkatan signifikan pada kemampuan Computational Thinking siswa. Rata-rata nilai Pretest sebesar 64,15 meningkat menjadi 78,43 pada Posttest, dengan rata-rata gain 0,39 yang termasuk kategori “Sedang”. Metode CSU terbukti membantu siswa yang cenderung pasif dan kurang percaya diri untuk lebih aktif dan memahami konsep secara bertahap, mulai dari Entitas hingga hubungan antar Entitas. Selain itu, tanggapan siswa terhadap metode ini sangat positif, dengan skor rata-rata kuesioner sebesar 80,9% yang termasuk kategori “Sangat Baik.” Aktivitas kolaboratif dalam pembelajaran mendorong komunikasi, kerja sama, dan motivasi belajar siswa. Korelasi antara metode pembelajaran CSU dan kemampuan Computational Thinking siswa juga sangat kuat, dengan koefisien korelasi sebesar 0,815. Penelitian ini merekomendasikan CSU sebagai alternatif pembelajaran inovatif, khususnya di sekolah dengan keterbatasan fasilitas teknologi, untuk mendukung pemahaman konsep dasar Basis Data.

The advancement of technology in education continues to grow, yet challenges in enhancing students' Computational Thinking skills and fostering their active engagement as learners capable of critical thinking, collaboration, and innovation remain key focuses, particularly in the subject of Database. This study aims to improve the Computational Thinking skills of eleventh-grade students in the Software Engineering program at SMK Negeri 2 Bandung through the innovative learning method of Computer Science Unplugged (CSU). The study uses the ADDIE development model (Analyze, Design, Development, Implementation, Evaluate) with a One-Group Pretest-Posttest research design. CSU was implemented through four learning skenarios based on physical activities that integrate Computational Thinking components such as Decomposition, Pattern Recognition, Abstraction, and Algoritmic thinking. The results of the study showed a significant improvement in students' Computational Thinking abilities. The average Pretest score of 64.15 increased to 78.43 in the Posttest, with an average gain of 0.39, classified as "Moderate". The CSU method effectively helped passive and less confident students to become more active and better understand the concepts step by step, from entities to relationships between entities. Additionally, student feedback on this method was highly positive, with an average questionnaire score of 80.9%, classified as "Very Good." Collaborative activities in learning fostered communication, teamwork, and motivation among students. The correlation between the CSU method and students' Computational Thinking abilities was also strong, with a correlation coefficient of 0.815. This study recommends CSU as an innovative alternative for teaching, particularly in schools with limited technological resources, to support students' understanding of basic Database concepts.

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Item Type:	Thesis (S1)
Additional Information:	ID SINTA Dosen Pembimbing: ANDINI SETYA ARIANTI: 6751563 EKI NUGRAHA: 6111743
Uncontrolled Keywords:	ADDIE, Basis Data, ERD, Computational Thinking, Computer Science Unplugged.
Subjects:	L Education > L Education (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:	Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Pendidikan Ilmu Komputer
Depositing User:	Nandy Ali Musthofa Hakiim
Date Deposited:	05 May 2025 07:20
Last Modified:	05 May 2025 07:20
URI:	http://repository.upi.edu/id/eprint/132550

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