Electronic Theses and Dissertation

Penelitian ini dilatarbelakangi oleh rendahnya kemampuan berpikir kreatif siswa pada pembelajaran matematika, khususnya materi grafik fungsi trigonometri. Pembelajaran matematika di sekolah masih cenderung berpusat pada guru dan menekankan hafalan rumus sehingga siswa kurang memahami konsep secara mendalam. Oleh karena itu, diperlukan perangkat pembelajaran inovatif berbasis deep learning yang mampu menciptakan pembelajaran bermakna dan mendukung kemampuan berpikir kreatif siswa. Penelitian ini bertujuan untuk mengetahui validitas perangkat deep learning pada materi grafik fungsi trigonometri untuk mendukung kemampuan berpikir kreatif siswa SMA. Penelitian ini menggunakan metode Research and Development (R&D) dengan model pengembangan Plomp yang terdiri atas dua tahap, yaitu preliminary research dan prototyping phase. Tahap preliminary research meliputi analisis kebutuhan guru dan siswa, analisis kurikulum, serta studi literatur. Tahap prototyping phase meliputi perancangan perangkat pembelajaran berupa modul ajar dan Lembar Kerja Peserta Didik (LKPD) berbasis deep learning. Produk yang dikembangkan divalidasi oleh empat validator yang terdiri atas dua dosen pendidikan matematika dan dua guru matematika SMA. Instrumen penelitian berupa lembar validasi modul ajar dan LKPD dengan aspek penilaian meliputi kelayakan isi, kebahasaan, penyajian, serta kesesuaian dengan pendekatan deep learning dan indikator kemampuan berpikir kreatif. Hasil penelitian menunjukkan bahwa perangkat pembelajaran berbasis deep learning yang dikembangkan memenuhi kriteria valid berdasarkan hasil penilaian validator. Modul ajar dan LKPD telah sesuai dengan capaian pembelajaran Kurikulum Merdeka, memuat prinsip meaningful learning, mindful learning, dan joyful learning, serta mendukung pengembangan kemampuan berpikir kreatif siswa melalui indikator fluency, flexibility, originality, dan elaboration. Dengan demikian, perangkat pembelajaran deep learning pada materi grafik fungsi trigonometri layak digunakan sebagai alternatif bahan ajar yang inovatif dan bermakna dalam pembelajaran matematika di SMA.

This research was motivated by the low level of students’ creative thinking skills in mathematics learning, particularly on the topic of trigonometric function graphs. Mathematics learning in schools still tends to be teacher-centered and emphasizes memorization of formulas, causing students to lack deep conceptual understanding. Therefore, innovative deep learning-based learning tools are needed to create meaningful learning experiences and support students’ creative thinking skills. This study aimed to determine the validity of deep learning-based learning tools on trigonometric function graph material to improve senior high school students’ creative thinking skills. This research employed the Research and Development (R&D) method using the Plomp development model, which consisted of two phases: preliminary research and prototyping phase. The preliminary research phase included needs analysis of teachers and students, curriculum analysis, and literature review. The prototyping phase involved designing learning tools in the form of teaching modules and Student Worksheets (LKPD) based on the deep learning approach. The developed products were validated by four validators consisting of two mathematics education lecturers and two senior high school mathematics teachers. The research instruments were validation sheets for the teaching modules and LKPD, covering aspects of content feasibility, language, presentation, conformity with the deep learning approach, and indicators of creative thinking skills. The results showed that the developed deep learning-based learning tools met the valid criteria based on validator assessments. The teaching modules and LKPD were aligned with the Merdeka Curriculum learning outcomes, incorporated the principles of meaningful learning, mindful learning, and joyful learning, and supported the development of students’ creative thinking skills through the indicators of fluency, flexibility, originality, and elaboration. Therefore, the deep learning-based learning tools on trigonometric function graph material are suitable to be used as innovative and meaningful teaching materials in senior high school mathematics learning.