Profil Keterampilan Berpikir Komputasi Peserta Didik Di MAN Kota Sukabumi Ditinjau dari Kecerdasan Majemuk Pada Materi Sitem Pencernaan
(Profile of Computational Thinking Skills of Students at MAN Sukabumi City in terms of Multiple Intelligences on Digestive System Materials)
DOI:
https://doi.org/10.22437/bio.v9i1.19154Abstract
This study aims to determine the level of students' computational thinking skills in terms of the three dominant multiple intelligences in a sample. This type of research is descriptive research, with a quantitative approach. The population in this study were students of class XI in one of the MAN Sukabumi City. The sample in this study was 30 students of class XI. The data collection used is a test in the form of multiple choice questions as many as 13 questions that include indicators of computational thinking skills and student response questionnaires to the STEM model based on multiple intelligences. From the results of data analysis, students with interpersonal intelligence have good criteria for computational thinking skills with an average score of 71%, with 86% intrapersonal intelligence with very good criteria, and 77% with good criteria for mathematical intelligence. Overall, students have a good response to the STEM model based on multiple intelligences. It can be concluded that the students' computational thinking skills by being treated with intelligence-based STEM models in one of the MAN Sukabumi City have good criteria.
Key words: Computational thinking skills, STEM, multiple intelligence
Â
ABSTRAK
Penelitian ini bertujuan untuk mengetahui tingkatan keterampilan berpikir komputasi peserta didik ditinjau dari tiga kecerdasan majemuk dominan pada suatu sampel. Jenis penelitian ini adalah penelitian deskriptif, dengan pendekatan kuantitatif. Populasi pada penelitian ini adalah siswa kelas XI di salah satu MAN Kota Sukabumi. Sampel pada penelitian ini adalah 30 peserta didik kelas XI. Pengumpulan data yang digunakan adalah dengan tes dalam bentuk soal pilihan ganda sebanyak 13 butir soal yang mencakup indikator keterampilan berpikir komputasi dan angket respon peserta didik terhadap model STEM berbasis kecerdasan majemuk. Dari hasil analisis data diperoleh peserta didik dengan kecerdasan interpersonal memiliki keterampilan berpikir komputasi berkriteria baik dengan skor rata-rata 71%, dengan kecerdasan intrapersonal 86% berkriteria sangat baik, dan dengan kecerdasan matematis 77% berkriteria baik. Secara keseluruhan peserta didik memiliki respon yang baik terhadap model STEM berbasis kecerdasan majemuk. Dapat disimpulkan bahwa keterampilan berpikir komputais peserta didik dengan diberi perlakuan model STEM berbasis kecerdasarn di salah satu MAN Kota Sukabumi berkriteria baik.
Kata kunci: Keterampilan Berpikir Komputasi, STEM, Kecerdasan Majemuk
Downloads
References
Ag, Moch Masykur dan Fathani, Abdul Halim. (2007). Mathematical Intelligence: Cara Cerdas Melatih Otak dan Menanggulangi Kesulitan Belajar. Yogyakarta: Ar-Ruzz Media
Anistyasari, Y., Ekohariadi, E., & Munoto, M. (2020). Strategi Pembelajaran Untuk Meningkatkan Keterampilan Pemrograman Dan Berpikir Komputasi: Sebuah Studi Literatur. Journal of Vocational and Technical Education (JVTE), 2(2), 37–44. https://doi.org/10.26740/jvte.v2n2.p37-44
Ansori, M. (2020). Pemikiran Komputasi (Computational Thinking) dalam Pemecahan Masalah. Dirasah : Jurnal Studi Ilmu Dan Manajemen Pendidikan Islam, 3(1), 111–126. https://doi.org/10.29062/dirasah.v3i1.83
Arikunto. (2013). Prosedur Penelitian Suatu Pendekatan Praktik. Edisi Revisi. PT. Rineka Cipta.
Badan Pusat Statistik. (2019). “Keadaan Ketenagakerjaan Indonesia Agustus 2019: Berita Resmi Statistik No.91/11Th.XXII, 5 November 2019,.†dapat diak.
Hendriani, & Yeni. (2018). Mata Pelajaran Biologi SMA. Unit Pembelajaran Stem, 41.
Kale, U., Akcaoglu, M., Cullen, T., Goh, D., Devine, L., Calvert, N., & Grise, K. (2018). Computational What? Relating Computational Thinking to Teaching. TechTrends, 62(6), 574–584. https://doi.org/10.1007/s11528-018-0290-9
Kalelioğlu, F. (2018). Characteristics of studies conducted on computational thinking: A content analysis. Computational Thinking in the STEM Disciplines: Foundations and Research Highlights, 11–29. https://doi.org/10.1007/978-3-319-93566-9_2
Kelley, T. R., & Knowles, J. G. (2016). A conceptual framework for integrated STEM education. International Journal of STEM Education, 3(1). https://doi.org/10.1186/s40594-016-0046-z
Lee, T. Y., Mauriello, M. L., Ahn, J., & Bederson, B. B. (2014). CTArcade: Computational thinking with games in school age children. International Journal of Child-Computer Interaction, 2(1), 26–33. https://doi.org/10.1016/j.ijcci.2014.06.003
Machali, I. (2014). Dimensi Kecerdasan Majemuk Dalam Kurikulum 2013. INSANIA : Jurnal Pemikiran Alternatif Kependidikan, 19(1), 21–45. https://doi.org/10.24090/insania.v19i1.462
Paidi. (2011). PENGEMBANGAN PERANGKAT PEMBELAJARAN BIOLOGI BERBASIS MASALAH. Jurnal Kependidikan, 41(2), 185–201.
Permanasari, A. (2016). STEM Education : Inovasi dalam Pembelajaran Sains. SEMINAR NASIONAL PENDIDIKAN SAINS “Peningkatan Kualitas Pembelajaran Sains Dan Kompetensi Guru Melalui Penelitian & Pengembangan Dalam Menghadapi Tantangan Abad-21†Surakarta, 22 Oktober 2016, 23–34.
Rosiña, E., Luisa Bermejo, M., Del Barco, M., Cañada, F., & Sanchez-Martin, J. (2019). Multiple intelligences analysis and emotional implications in STEM Education for Students up to K-12. Examining Multiple Intelligences and Digital Technologies for Enhanced Learning Opportunities, January, 261–279. https://doi.org/10.4018/978-1-7998-0249-5.ch013
Sugiyono. (2017). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. Alfabeta, CV.No Title.
Syarifah, S. (2019). Konsep Kecerdasan Majemuk Howard Gardner. SUSTAINABLE: Jurnal Kajian Mutu Pendidikan, 2(2), 176–197. https://doi.org/10.32923/kjmp.v2i2.987
Winarni, J., Zubaidah, S., & H, S. K. (2016). STEM: apa, mengapa, dan bagaimana. In Prosiding Seminar Nasional Pendidikan IPA Pascasarjana UM (Vol. 1, pp. 976–984).
Wing, J. M. (2008). Five deep questions in computing. Communications of the ACM, 51(1), 58–60. https://doi.org/10.1145/1327452.1327479
Yadav, A., Sands, P., Good, J., & Lishinki, A. (2018). Computer Science and Computational Thinking in the Curriculum: Research and Practice. 89–106. https://doi.org/10.1007/978-3-319-71054-9_6
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Syifa Maharani Hikam, Setiono, Billyardi Ramdhan
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright Notice
Authors who publish with Biodik : Jurnal Ilmiah Pendidikan Biologi agree to the following terms:
- For all articles published in Biodik : Jurnal Ilmiah Pendidikan Biologi, copyright is retained by the authors and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International Licensethat 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 (See The Effect of Open Access).