ANALISIS KEMAMPUAN COMPUTATIONAL THINKING SISWA SMA DITINJAU DARI KEMAMPUAN AWAL MATEMATIKA DAN RESILIENSI MATEMATIS

Isna Fauziyah, - and Elah Nurlaelah, - and Suhendra, - (2025) ANALISIS KEMAMPUAN COMPUTATIONAL THINKING SISWA SMA DITINJAU DARI KEMAMPUAN AWAL MATEMATIKA DAN RESILIENSI MATEMATIS. S2 thesis, Universitas Pendidikan Indonesia.

Abstract

Kemampuan computational thinking sangat penting untuk terus dikembangkan siswa di sekolah, khususnya di sekolah menengah atas. Penelitian ini bertujuan untuk menganalisis kemampuan computational thinking siswa SMA ditinjau dari Kemampuan Awal Matematika (KAM) dan Resiliensi Matematis (RM). Penelitian ini menggunakan pendekatan kualitatif dengan metode studi kasus dengan subjek penelitian sebanyak 36 siswa di salah satu SMAN di Kabupaten Lebak dan hanya 9 siswa dengan kombinasi kategori kemampuan awal matematika dan resiliensi matematis tinggi, sedang, dan rendah yang menjadi subjek inti penelitian. Intrumen yang digunakan berupa angket resiliensi matematis, soal tes uraian kemampuan computational thinking, dan pedoman wawancara. Teknik pengumpulan data dilakukan dengan studi dokumen, kuesioner, tes tertulis, serta wawancara. Analisis data dilakukan tiga tahapan yaitu reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa: 1) Secara keseluruhan siswa sudah mampu memenuhi keempat indikator CT yang meliputi dekomposisi masalah, abstraksi, pengenalan pola, dan berpikir algoritmik, namun masih belum optimal khususnya pada indikator berpikir algoritmik; 2) Mayoritas siswa dengan KAM tinggi dan sedang mampu memenuhi seluruh indikator CT dan mayoritas siswa dengan KAM rendah hanya mampu memenuhi indikator dekomposisi masalah; 3) Mayoritas siswa dengan RM tinggi memenuhi seluruh indikator CT, namun tidak semua siswa yang memiliki RM tinggi mampu memenuhi seluruh indikator CT serta mayoritas siswa dengan RM sedang dan rendah hanya memenuhi tiga indikator CT, yaitu dekomposisi masalah, abstraksi, dan pengenalan pola; serta 4) siswa dengan KAM tinggi RM tinggi, KAM tinggi RM sedang, KAM tinggi RM Rendah, dan KAM Sedang RM tinggi mampu memenuhi keempat indikator CT, siswa dengan KAM sedang resiliensi sedang mampu memenuhi tiga indikator CT, yaitu dekomposisi masalah, abstraksi, dan pengenalan pola, siswa dengan KAM sedang RM rendah, KAM rendah RM Tinggi, serta KAM rendah RM sedang hanya mampu memenuhi dua indikator CT, yaitu dekomposisi masalah dan abstraksi, serta siswa dengan KAM rendah RM rendah hanya mampu memenuhi satu indikator, yaitu dekomposisi masalah. Tingkatan KAM siswa cenderung selaras dengan hasil kemampuan CT, lain halnya dengan RM yang tinggi tidak selalu berimplikasi kepada hasil kemampuan CT yang baik. The ability of computational thinking is very important to continually develop in students at school, especially at the senior high school level. This study aims to analyze the Computational Thinking (CT) abilities of high school students in terms of their prior mathematical ability and mathematical resilience. This study uses a qualitative approach with a case study method with 36 students as research subjects at a senior high school in Lebak Regency and only 9 students with a combination of high, medium, and low initial mathematical ability and mathematical resilience categories who are the core subjects of the study.. The instruments used included a mathematical resilience questionnaire, computational thinking essay test questions, and interview guidelines. Data collection techniques consisted of study documentation, questionnaires, written tests, and interviews. Data analysis was carried out in three stages: data reduction, data presentation, and conclusion drawing. The results of the study showed that: 1) Overall, students were able to fulfill the four CT indicators which include problem decomposition, abstraction, pattern recognition, and algorithmic thinking, but were still not optimal, especially in the algorithmic thinking indicator; 2) The majority of students with high and medium KAM were able to fulfill all CT indicators and the majority of students with low KAM were only able to fulfill the problem decomposition indicator; 3) The majority of students with high RM fulfilled all CT indicators, but not all students with high RM were able to fulfill all CT indicators and the majority of students with medium and low RM only fulfilled three CT indicators, namely problem decomposition, abstraction, and pattern recognition; and 4) students with high KAM high RM, high KAM medium RM, high KAM low RM, and medium KAM high RM are able to fulfill all four CT indicators, students with medium KAM moderate resilience are able to fulfill three CT indicators, namely problem decomposition, abstraction, and pattern recognition, students with medium KAM low RM, low KAM high RM, and low KAM medium RM are only able to fulfill two CT indicators, namely problem decomposition and abstraction, and students with low KAM low RM are only able to fulfill one indicator, namely problem decomposition. The level of student KAM tends to be in line with the results of CT abilities, in contrast to high RM does not always have implications for good CT ability results.

	Text T_MTK_2317448_Title.pdf Download (582kB)
	Text T_MTK_2317448_Chapter1.pdf Download (199kB)
	Text T_MTK_2317448_Chapter2.pdf Restricted to Staf Perpustakaan Download (464kB)
	Text T_MTK_2317448_Chapter3.pdf Download (273kB)
	Text T_MTK_2317448_Chapter4.pdf Restricted to Staf Perpustakaan Download (1MB)
	Text T_MTK_2317448_Chapter5.pdf Restricted to Staf Perpustakaan Download (1MB)
	Text T_MTK_2317448_Chapter6.pdf Download (108kB)
	Text T_MTK_2317448_Appendix.pdf Restricted to Staf Perpustakaan Download (3MB)

Item Type:	Thesis (S2)
Additional Information:	https://scholar.google.com/citations?user=UsdOwawAAAAJ&hl=en&oi=sra ID SINTA Dosen Pembimbing: Elah Nurlaelah: 6665327 Suhendra: 6140435
Uncontrolled Keywords:	Computational Thinking, Kemampuan Awal Matematika, Resiliensi Matematis Computational Thinking, Prior Mathematical Ability, Mathematical Resilience
Subjects:	L Education > L Education (General) L Education > LB Theory and practice of education Q Science > QA Mathematics
Divisions:	Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Pendidikan Matematika - S2
Depositing User:	Isna Fauziyah
Date Deposited:	30 Dec 2025 07:17
Last Modified:	30 Dec 2025 07:17
URI:	http://repository.upi.edu/id/eprint/146205

Actions (login required)

View Item