Journal
Computational Thinking Process of High School Students in Solving Sequences and Series Problems
Computational thinking process of high school students in solving sequences and series problems
Jurnal Analisa · Vol. 8 No. 1 (2022) · pp. 21–35
- ISSN
- 2549-5143, 2549-5135
- Published
- 2022-06-30
- Publisher
- Department of Mathematics Education, UIN Sunan Gunung Djati Bandung, West Java, Indonesia
- Language
- eng
Abstract
English
Kemampuan berpikir komputasi merupakan keterampilan berpikir yang dibutuhkan pada abad 21. Penelitian ini bertujuan untuk mendeskripsikan proses berpikir komputasi siswa SMA/MA dalam menyelesaikan masalah barisan dan deret. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kualitatif. Teknik pengumpulan data dilakukan dengan tes dan wawancara. Subjek dalam penelitian ini adalah siswa kelas XI IPA MA Muhammadiyah Kota Pekanbaru sebanyak 15 orang. Analisis terhadap kemampuan berpikir komputasi siswa dilihat melalui indikator. Hasil analisis menunjukkan bahwa siswa yang berkemampuan tinggi berada dalam kategori sangat baik pada indikator dekomposisi (87,5%) dan abstraksi (97,5%), kategori baik pada indikator berpikir algoritma (65%) dan kategori cukup pada indikator pengenalan pola (50%). Siswa berkemampuan sedang dalam kategori baik pada indikator abstraksi (62%), kategori cukup pada indikator dekomposisi (51,5%), kategori rendah pada indikator pengenalan pola (33,5%) dan berpikir algoritma (39%). Siswa berkemampuan rendah berada dalam kategori rendah untuk tiga indikator yaitu dekomposisi (38,3%), abstraksi (33,3%), berpikir algoritma (21,7%), dan kategori sangat rendah pada pengenalan pola (11,67%). The ability of computational thinking is logical thinking that is needed in the 21st century. This research aims to describe the process of computational thinking in the Senior High School students in completing the problem of arithmetic sequence and series. This research is descriptive research using a qualitative approach. The data collection technique uses tests and interviews. Furthermore, the subject of the research is 15 students of class XI IPA at MA Muhammadiyah Pekanbaru. The students’ computational thinking could be seen through decomposition indicators, pattern recognition, abstraction, and algorithmic thinking. The results of the analysis indicate that students with high abilities are in a very good category on the decomposition indicators (87.5%) and abstraction (97.5%), good categories on the algorithmic thinking indicator (65%), and, the moderate category on the indicators. pattern recognition (50%). For students with moderate abilities, they are in a good category on the abstraction indicator (62%), sufficient category on the decomposition indicator (51.5%), the low category on the pattern recognition indicator (33.5%), and algorithmic thinking (39%). Meanwhile, low-ability students are in the low category for three indicators, namely decomposition (38.3%), abstraction (33.3%), algorithmic thinking (21.7%), and very low category on pattern recognition indicators (11.67%).
Indonesian
Kemampuan berpikir komputasi merupakan keterampilan berpikir yang dibutuhkan pada abad 21. Penelitian ini bertujuan untuk mendeskripsikan proses berpikir komputasi siswa SMA/MA dalam menyelesaikan masalah barisan dan deret. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kualitatif. Teknik pengumpulan data dilakukan dengan tes dan wawancara. Subjek dalam penelitian ini adalah siswa kelas XI IPA MA Muhammadiyah Kota Pekanbaru sebanyak 15 orang. Analisis terhadap kemampuan berpikir komputasi siswa dilihat melalui indikator. Hasil analisis menunjukkan bahwa siswa yang berkemampuan tinggi berada dalam kategori sangat baik pada indikator dekomposisi (87,5%) dan abstraksi (97,5%), kategori baik pada indikator berpikir algoritma (65%) dan kategori cukup pada indikator pengenalan pola (50%). Siswa berkemampuan sedang dalam kategori baik pada indikator abstraksi (62%), kategori cukup pada indikator dekomposisi (51,5%), kategori rendah pada indikator pengenalan pola (33,5%) dan berpikir algoritma (39%). Siswa berkemampuan rendah berada dalam kategori rendah untuk tiga indikator yaitu dekomposisi (38,3%), abstraksi (33,3%), berpikir algoritma (21,7%), dan kategori sangat rendah pada pengenalan pola (11,67%).  The ability of computational thinking is logical thinking that is needed in the 21st century. This research aims to describe the process of computational thinking in the Senior High School students in completing the problem of arithmetic sequence and series. This research is descriptive research using a qualitative approach. The data collection technique uses tests and interviews. Furthermore, the subject of the research is 15 students of class XI IPA at MA Muhammadiyah Pekanbaru. The students’ computational thinking could be seen through decomposition indicators, pattern recognition, abstraction, and algorithmic thinking. The results of the analysis indicate that students with high abilities are in a very good category on the decomposition indicators (87.5%) and abstraction (97.5%), good categories on the algorithmic thinking indicator (65%), and, the moderate category on the indicators. pattern recognition (50%). For students with moderate abilities, they are in a good category on the abstraction indicator (62%), sufficient category on the decomposition indicator (51.5%), the low category on the pattern recognition indicator (33.5%), and algorithmic thinking (39%). Meanwhile, low-ability students are in the low category for three indicators, namely decomposition (38.3%), abstraction (33.3%), algorithmic thinking (21.7%), and very low category on pattern recognition indicators (11.67%).
Keywords
Collaboration network of the authors
34 authors · 64 co-authorship links
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Universitas Syiah Kuala
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Atma Murni | Affiliation unknown | 3 |
| Syintia Dewi Ananta Shinta Dewi | Affiliation unknown | 2 |
| Ravina Faradilla Syahril | Affiliation unknown | 2 |
| Linda Ardani Afriliziana | Affiliation unknown | 2 |
| Wiwik Julia Wiwik Fitri | Affiliation unknown | 2 |
| Euis Sitinur Aisyah | Affiliation unknown | 1 |
| Aris Martono | Affiliation unknown | 1 |
| Abdul Hamid Arribathi | Affiliation unknown | 1 |
| Devi Nurfitriani | Affiliation unknown | 1 |
| Engsas Diniati Adifta | Affiliation unknown | 1 |
| Elfis Suanto | Affiliation unknown | 1 |
| Wiwik Julia Fitri | Affiliation unknown | 1 |
| Restu Ayu Gustianingrum | Affiliation unknown | 1 |
| Hutwan Syarifuddin | Affiliation unknown | 1 |
| Rosyani Rosyani | Affiliation unknown | 1 |
| Tuti Alawiyah | Affiliation unknown | 1 |
| Arisman Adnan | Affiliation unknown | 1 |
| Gumanti Gumanti | Affiliation unknown | 1 |
| Fitriyawany Fitriyawany | Affiliation unknown | 1 |
| Febry Mayangsari | Affiliation unknown | 1 |
| Buhori Muslim | Affiliation unknown | 1 |
| Asnizar Asnizar | Affiliation unknown | 1 |
| Safriana Safriana | Universitas Syiah Kuala | 1 |
| Suhaimi Suhaimi | Affiliation unknown | 1 |
| Syaikhu Syaikhu | Affiliation unknown | 1 |
| Norwili Norwili | Affiliation unknown | 1 |
| laili wahyunita | Affiliation unknown | 1 |
| AMARILA MALIK | Affiliation unknown | 1 |
| IS HELIANTI | Affiliation unknown | 1 |
| Fairuz Andini Fatiningtyas | Affiliation unknown | 1 |
| Riswanto Napitupulu | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.