Electronic Theses and Dissertation

Siswa sering kali mengalami kesulitan saat menyelesaikan soal kontekstual pada materi sistem pertidaksamaan linear dua variabel, terutama jika bentuk soalnya berbeda dengan contoh yang diberikan saat pembelajaran. Hal tersebut disebabkan oleh kurangnya pemahaman konsep yang dikuasai siswa, sehingga berdampak pada hasil belajar matematika yang rendah. Pendekatan deep learning dapat membantu siswa membangun pemahaman konsep yang mendalam sehingga melekat jangka panjang. Namun pendekatan deep learning saja tidak menjamin tercapainya pemahaman yang mendalam tanpa diiringi model pembelajaran yang tepat, yaitu model kooperatif tipe Think Pair Share. Model pembelajaran ini dapat melatih siswa untuk terbiasa berpikir mandiri, berkomunikasi, dan mengekspresikan ide. Penerapan deep learning dengan model kooperatif tipe Think Pair Share diduga dapat mengatasi permasalahan tersebut, karena memadukan pembelajaran yang membangun konsep secara mendalam dengan metode diskusi yang terstruktur. Penelitian ini bertujuan untuk mengetahui hasil belajar siswa melalui penerapan deep learning dengan model kooperatif tipe Think Pair Share pada materi sistem pertidaksamaan linear dua variabel kelas X di SMAN 8 Banda Aceh. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan jenis penelitian pre-experimental berupa one-shot case study. Populasi penelitian ini adalah seluruh siswa kelas X SMAN 8 Banda Aceh tahun ajaran 2025/2026, dengan sampel kelas X IPAS-1 yang dipilih menggunakan teknik purposive sampling. Instrumen penelitian berupa tes hasil belajar dalam bentuk soal esai. Teknik analisis data menggunakan one sample t-test dengan \alpha= 0,05 menunjukkan bahwa penerapan deep learning dengan model kooperatif tipe Think Pair Share dapat mencapai Kriteria Ketercapaian Tujuan Pembelajaran (KKTP) pada materi sistem pertidaksamaan linear dua variabel kelas X di SMAN 8 Banda Aceh.

Kata kunci: Hasil Belajar, Deep Learning, Think Pair Share.

Students often experience difficulties when solving contextual problems on the material on systems of linear inequalities in two variables, especially if the form of the problem is different from the examples given during the lesson. This is caused by a lack of understanding of the concepts mastered by students, which has an impact on low mathematics learning outcomes. A deep learning approach can help students develop a deep understanding of concepts that will stick for the long term. However, a deep learning approach alone does not guarantee a deep understanding without the appropriate learning model, namely the cooperative model of the Think Pair Share type. This learning model can train students to think independently, communicate, and express ideas. The application of deep learning with cooperative model of the Think Pair Share type is thought to address these issues because it combines in depth concept building learning with structured discussion methods. This study aims to determine student learning outcomes through the application of deep learning with cooperative model of the Think Pair Share type on the material on systems of linear inequalities in two variables in grade X at SMAN 8 Banda Aceh. The research method used is a quantitative approach with a pre-experimental research type in the form of a one-shot case study. The population of this study was all grade X students of SMAN 8 Banda Aceh in the 2025/2026 academic year, with a sample of grade X IPAS-1 selected using a purposive sampling technique. The research instrument was a learning outcome test in the form of essay questions. The data analysis technique using one sample t-test with \alpha= 0,05 show that the application of deep learning with cooperative model of the Think Pair Share type can achieve the learning objective achievement criteria on the material on systems of linear inequalities in two variables in grade X at SMAN 8 Banda Aceh. Keywords: Learning Outcomes, Deep Learning, Think Pair Share.