Exploring Computational Thinking and Pancasila Values through Traditional Game-Based Unplugged Activities
DOI:
https://doi.org/10.30587/didaktika.v32i2.11617Keywords:
computational thinking, pancasila values, unplugged activity, traditional games, elementary schoolAbstract
The integration of Computational Thinking (CT) and character education has become increasingly important in elementary education to support students’ cognitive and social development. Traditional games offer a contextual learning environment that can connect computational thinking skills with character development and local cultural experiences. This study aims to explore the development of students’ CT skills and the cultivation of Pancasila values through traditional game-based Unplugged Activities. A qualitative exploratory descriptive approach was employed involving 36 fourth-grade students participating in learning activities in class 4D at an elementary school in Surabaya. Data were collected through observation, semi-structured interviews, and documentation, and analyzed using the Miles and Huberman model. The results indicate that the implementation of Unplugged Activities through traditional games, namely gobak sodor, dakon, and hide and seek, supports the development of students’ CT skills, particularly in decomposition and algorithm design. The activities also foster Pancasila values, including empathy, cooperation, sportsmanship, and fairness, as students participated in planning, following rules, solving problems, and interacting with peers. The novelty of this study lies in integrating CT development and Pancasila values within traditional game-based Unplugged Activities, providing a contextual learning approach that connects computational skills with students’ social and cultural experiences. Overall, traditional game-based Unplugged Activities can serve as a meaningful learning approach for simultaneously developing elementary students’ computational thinking and Pancasila values.
Downloads
References
Alifah, A. H., & Widodo, S. (2024). Membuka Kemampuan Computational Thinking Sebagai 21 Century Skills Disiplin STEM. Jurnal Ilmiah Kependidikan, XI(1), 100–108. https://doi.org/10.30998/fjik.v11i1.21962
Angeli, C., & Giannakos, M. (2019). Computational thinking education: Issues and challenges. In Computers in Human Behavior (Vol. 105). Elsevier Ltd. https://doi.org/10.1016/j.chb.2019.106185
Brackmann, C. P., Moreno-León, J., Román-González, M., Casali, A., Robles, G., & Barone, D. (2017). Development of computational thinking skills through unplugged activities in primary school. ACM International Conference Proceeding Series, 65–72. https://doi.org/10.1145/3137065.3137069
Chen, P., Yang, D., Metwally, A. H. S., Lavonen, J., & Wang, X. (2023). Fostering computational thinking through unplugged activities: A systematic literature review and meta-analysis. In International Journal of STEM Education (Vol. 10, Number 1). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1186/s40594-023-00434-7
Dwiputri, F. A., & Anggraeni, D. (2021). Penerapan Nilai Pancasila dalam Menumbuhkan Karakter Siswa Sekolah Dasar yang Cerdas Kreatif dan Berakhlak Mulia. Jurnal Pendidikan Tambusai, 5(1), 1267–1273.
Erwinsyah, A., Yusuf, F. M., Laliyo, L. A. R., Mursalin, & Riumkina, I. (2025). Research Trends Of Computational Thinking For Advancing Sustainable Development Goals (Sdgs) In Science Learning: Bibliometric Analysis. Jurnal Pendidikan IPA Indonesia, 14(2), 337–350. https://doi.org/10.15294/jpii.v14i2.23645
Hardiyanti, W. D., Prayitno, Christianti, M., Rambe, A., & Ulfiyani. (2025). Coding Games to Stimulate Computational Thinking Ability in Early Childhood. Journal for Lesson and Learning Studies, 8(2), 243–256. https://doi.org/10.23887/jlls.v8i2.92569
Kasiono, B., Pradhana, G., Huda, N., Utami, S., & Haerussaleh. (2025). Unlocking Young Minds : The Impact of Unplugged Coding on Elementary Students’ Computational Thinking. Jurnal Paedagogy, 12(3), 754. https://doi.org/10.33394/jp.v12i3.15650
Marlita Khaerunia, S. J., Anggraeni Dewi, D., & Furi Furnamasari, Y. (2021). Implementasi Nilai-Nilai Pancasila pada Anak Sekolah Dasar. Jurnal Pendidikan Tambusai, 5(3), 9449–9451.
Maulah, A., Rulyansah, A., Ibrahim, M., & Rahayu, D. W. (2025). Canva AI: Untuk Mengeksplorasi Computational Thinking Siswa Sekolah Dasar. DIDAKTIKA : Jurnal Pemikiran Pendidikan, 31(2), 192–206. https://doi.org/10.30587/didaktika.v31i2.10138
Ningsih, N. (2023). Penerapan Kurikulum Merdeka Belajar di UPT SMP Negeri 9 Gresik. DIDAKTIKA : Jurnal Pemikiran Pendidikan, 29(1), 144. https://doi.org/10.30587/didaktika.v29i1.5326
Prayitno, H. J., Rahmawati, F. N., Intani, K. I. N., & Pradana, F. G. (2022). Pembentukan Karakter Anak Usia Sekolah Dasar Melalui Permainan Tradisional. Jurnal Pemberdayaan Masyarakat, 1(1), 1–9. https://doi.org/10.46843/jmp.v1i1.261
Tariq, R., Aponte Babines, B. M., Ramirez, J., Alvarez-Icaza, I., & Naseer, F. (2025). Computational thinking in STEM education: current state-of-the-art and future research directions. In T. Ganchev (Ed.), Frontiers in Computer Science. Frontiers Media SA. https://doi.org/10.3389/fcomp.2024.1480404
Widodo, P., & Lumintuarso, R. (2017). Pengembangan Model Permainan Tradisional untuk Membangun Karakter pada Siswa SD Kelas Atas. Jurnal Keolahragaan, 5(2), 183–193. http://journal.uny.ac.id/index.php/jolahraga
Yuana, R. A., Sajidan, S., Wiranto, W., & Nizam, M. (2025). Strategies for integrating computational thinking and scientific approaches in programming education: a systematic literature review. In Discover Education (Vol. 4). Discover. https://doi.org/10.1007/s44217-025-00834-7
Yuyung, A., Kamaruddin, S., Sinring, A., & Lutfi, L. (2024). Harmonization of Science and Ethics in Creating Learning Oriented Towards the Improvement of Student Character. DIDAKTIKA : Jurnal Pemikiran Pendidikan, 30(2), 277. https://doi.org/10.30587/didaktika.v30i2.9007
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Publisher Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Gresik

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
License and Copyright Agreement
In submitting the manuscript to the journal, the authors certify that:
- They are authorized by their co-authors to enter into these arrangements.
- The work described has not been formally published before, except in the form of an abstract or as part of a published lecture, review, thesis, or overlay journal.
- That it is not under consideration for publication elsewhere,
- That its publication has been approved by all the author(s) and by the responsible authorities – tacitly or explicitly – of the institutes where the work has been carried out.
- They secure the right to reproduce any material that has already been published or copyrighted elsewhere.
- They agree to the following license and copyright agreement.
Copyright
Authors who publish with DIDAKTIKA: Jurnal Pemikiran Pendidikan agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC BY-SA 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
Licensing for Data Publication
Open Data and Software Publishing and Sharing
The journal strives to maximize the replicability of the research published in it. Authors are thus required to share all data, code or protocols underlying the research reported in their articles. Exceptions are permitted but have to be justified in a written public statement accompanying the article.
Datasets and software should be deposited and permanently archived inappropriate, trusted, general, or domain-specific repositories (please consult http://service.re3data.org and/or software repositories such as GitHub, GitLab, Bioinformatics.org, or equivalent). The associated persistent identifiers (e.g. DOI, or others) of the dataset(s) must be included in the data or software resources section of the article. Reference(s) to datasets and software should also be included in the reference list of the article with DOIs (where available). Where no domain-specific data repository exists, authors should deposit their datasets in a general repository such as ZENODO, Dryad, Dataverse, or others.
Small data may also be published as data files or packages supplementary to a research article, however, the authors should prefer in all cases a deposition in data repositories.








