Efektivitas Deep Learning pada Hasil Belajar Matematika Bangun Datar: Studi Kuasi-Eksperimen Siswa Sekolah Dasar
DOI:
https://doi.org/10.31004/basicedu.v10i4.13010Keywords:
deep learning, hasil belajar, matematika, bangun datar, sekolah dasarAbstract
Penelitian ini bertujuan mengetahui efektivitas pendekatan Deep Learning terhadap hasil belajar matematika materi bangun datar pada siswa kelas V sekolah dasar dibandingkan pembelajaran konvensional. Rendahnya hasil belajar matematika siswa pada materi bangun datar menjadi urgensi utama penelitian ini. Penelitian menggunakan pendekatan kuantitatif dengan desain kuasi eksperimen tipe Non-Equivalent Control Group Design, melibatkan 37 siswa kelas V-A sebagai kelas eksperimen dan 37 siswa kelas V-B sebagai kelas kontrol yang ditentukan melalui teknik sampling jenuh. Data dikumpulkan melalui pretest dan posttest menggunakan instrumen tes berjumlah 20 butir (15 pilihan ganda dan 5 uraian) yang telah divalidasi oleh tiga ahli dengan nilai Aiken's V sebesar 0,880, kemudian dianalisis menggunakan Mann-Whitney U Test karena data tidak berdistribusi normal. Hasil penelitian menunjukkan kemampuan awal kedua kelompok relatif setara (Sig. = 0,991), sedangkan setelah perlakuan, rata-rata posttest kelas eksperimen (78,57) lebih tinggi daripada kelas kontrol (71,27) dengan nilai signifikansi 0,014 (< 0,05) dan efek berkategori sedang (r = 0,33). Dengan demikian, pendekatan Deep Learning terbukti efektif meningkatkan hasil belajar matematika siswa pada materi bangun datar, sehingga dapat menjadi alternatif strategi pembelajaran bagi guru sekolah dasar dalam mengoptimalkan pemahaman konsep geometri.
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