Analisis Berfikir Komputasional Siswa SMP pada Kurikulum Merdeka Mata Pelajaran Informatika
DOI:
https://doi.org/10.55606/jutiti.v3i3.3350Keywords:
Computational Thinking, Microsoft Paint, Informatics, Independent CurriculumAbstract
The aim of this study was to determine the analysis of students' computational thinking skills on spreadsheets using Microsoft Excel. This type of research is descriptive with the use of qualitative methods. This study used a population of class VII students at SMP Negeri 2 Koto Baru. The sample used was 36 students in class VII-D. Data collection was carried out using practicum tests in the computer lab according to the lesson schedule, by assigning the creation of population information tables in Microsoft Paint. The assignment contains all indicators of computational thinking agility including; abstraction, decomposition, algorithm, and data recognition. The ability to think computationally produces student output with a high category of 31%, a moderate category of 50%, and a low category of 19%. Through the results of observations, it can be concluded that students who are in the high category have exceeded all standardized computational capacity indicators. While students in the moderate category show that all indicators of computational thinking capacity have been achieved. Meanwhile, most students who are in the low category have not achieved all the indicators in computational thinking processes.
Downloads
References
A. Annisa Rizky, “Model Computational Thinking Pada Kurikulum Merdeka Sebagai Inovasi,” DIDAKTIS 7: Proseding Seminar Nasional Pendidikan Dasar 2022 , 2022.
A. C. Lestari and A. M. Annizar, “Proses Berpikir Kritis Siswa dalam Menyelesaikan Masalah PISA Ditinjau dari Kemampuan Berpikir Komputasi,” Jurnal Kiprah, vol. 8, no. 1, pp. 46–55, Jun. 2020, doi: 10.31629/kiprah.v8i1.2063.
A. Dwianika, C. Novita Roseline, M. Priscilia, and P. Aqilla Haya, “UPAYA PENINGKATAN KEMAMPUAN COMPUTATIONAL THINKING SISWA DI SMP NOAH,” Jurnal Pengabdian dan Edukasi Sekolah, vol. 1, no. 1, pp. 60–68, 2021, doi: 10.46306/jub.v1i1.
A. Nurlina and M. Ikram, “PERBANDINGAN GAYA BELAJAR DAN PRESTASI BELAJAR MATEMATIKA ANTARA SISWA PROGRAM TAHFIZH DAN PROGRAM REGULER SMP MUHAMMADIYAH BOARDING SCHOOL PALOPO,” Jurnal Penelitian Matematika dan Pendidikan Matematika, vol. 6, no. 1, pp. 232–242, 2023, doi: 10.30605/proximal.v5i2.2002.
E. Satria, G. Efendi, and Z. Makmur, “Pengembangan Media Interaktif Pemograman Berpikir Komputasional,” JOURNAL ON TEACHER EDUCATION, vol. 4, no. 3, pp. 660–671, 2023.
M. Gunawan Supiarmo and L. Mardhiyatirrahmah, “Pemberian Scaffolding untuk Memperbaiki Proses Berpikir Komputasional Siswa dalam Memecahkan Masalah Matematika,” 2021.
R. P. Octalia et al., “PENGEMBANGAN MEDIA PEMBELAJARAN DIGITAL BERBASIS GAME CHALLENGES UNTUK MENINGKATKAN COMPUTATIONAL THINKING DALAM PEMBELAJARAN MANDIRI SEBAGAI UPAYA MEWUJUDKAN MERDEKA BELAJAR,” Kumpulan Karya Tulis Ilmiah Tingkat Nasional 2021, vol. 1, no. 1, pp. 149–166, 2021.
R. Sari et al., “Optimalisasi Penggunaan MS. Word dan MS. Excel Pada Siswa SMP PGRI Astra Insani Bekasi,” 2020. [Online]. Available: http://ejurnal.ubharajaya.ac.id/index.php/Jabdimas
S. N. Rainer Christi et al., “Pentingnya Berpikir Komputasional dalam Pembelajaran Matematika,”Journal on Education, vol. 05, no. 04, pp. 12590–12598, 2023.
T. S. Sukamto, A. Pertiwi, A. Affandy, A. Syukur, N. Hafidhoh, and E. Y. Hidayat, “Pengenalan Computational Thinking Sebagai Metode Problem Solving Kepada Guru dan Siswa Sekolah di Kota Semarang,” ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT, vol. 2, no. 2, p. 99, Aug. 2019, doi: 10.33633/ja.v2i2.51.
T. Setiarini, I. Lisnawati, and T. D. Prastyo, “ANALISIS BERPIKIR KOMPUTASIONAL MATA PELAJARAN INFORMATIKA SISWA KELAS X DPB DAN TKJ SMK NEGERI 1 PACITAN PADA KURIKULUM MERDEKA,” 2023.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Jurnal Teknik Informatika dan Teknologi Informasi

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.