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Sitinjak, Ezra Rohanauli
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Pengembangan E-modul Berbasis Problem-Based Learning dan Pendekatan Deep Learning pada Materi Termokimia Sitinjak, Ezra Rohanauli; Pulungan, Ahmad Nasir; Dalimunthe, Makharany; Kurniawan, Ekin Dwi Arif; Pratiwi, Alfira Julian; Ardila, Mutia; Samosir, Rafidah Almira
Reflection Journal Vol. 6 No. 2 (2026): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/4rgcf177

Abstract

Penelitian ini bertujuan untuk mengembangkan e-modul pembelajaran kimia berbasis Problem-Based Learning (PBL) yang terintegrasi dengan pendekatan deep learning pada materi termokimia serta mengetahui tingkat kelayakan, kepraktisan, dan efektivitasnya. Penelitian ini merupakan penelitian pengembangan (Research and Development) dengan model 4D (Define, Design, Develop, Disseminate). Subjek penelitian adalah siswa kelas XI SMA Negeri 17 Medan tahun ajaran 2025/2026. Instrumen yang digunakan meliputi lembar validasi ahli, angket respon siswa, serta tes hasil belajar (pretest dan posttest). Hasil penelitian menunjukkan bahwa e-modul yang dikembangkan dinyatakan layak berdasarkan penilaian ahli materi dan ahli media. Tingkat kepraktisan e-modul tergolong baik berdasarkan respon siswa terhadap kemudahan penggunaan, tampilan, dan manfaat pembelajaran. Selain itu, e-modul terbukti efektif dalam meningkatkan hasil belajar siswa dengan nilai N-gain sebesar 0,71 yang termasuk dalam kategori tinggi. Dengan demikian, e-modul berbasis PBL dan pendekatan deep learning dapat digunakan sebagai bahan ajar yang inovatif untuk meningkatkan pemahaman konsep, keterlibatan, serta kemampuan berpikir kritis siswa pada materi termokimia. Development of an E-Module Based on Problem-Based Learning and a Deep Learning Approach in Thermochemistry This study aims to develop a chemistry e-module based on Problem Based Learning (PBL) integrated with a deep learning approach on thermochemistry material and to determine its validity, practicality, and effectiveness. This research employed a Research and Development (R&D) method using the 4D model (Define, Design, Develop, Disseminate). The subjects were eleventh-grade students of SMA Negeri 17 Medan in the 2025/2026 academic year. The instruments used included expert validation sheets, student response questionnaires, and learning outcome tests (pretest and posttest). The results showed that the developed e-module was valid based on expert evaluations. The practicality level was categorized as good based on student responses regarding ease of use, design, and learning benefits. Furthermore, the e-module was proven effective in improving students’ learning outcomes with an N-gain score of 0.71, categorized as high. Therefore, the PBL-based e-module integrated with a deep learning approach can be used as an innovative teaching material to enhance conceptual understanding, student engagement, and critical thinking skills in thermochemistry learning.
Pengembangan E-modul Kimia Berbasis  PBL dan Deep Learning pada Materi Termokimia Sitinjak, Ezra Rohanauli; Pulungan, Ahmad Nasir; Dalimunthe, Makharany; Kurniawan, Ekin Dwi Arif; Pratiwi, Alfira Julian; Ardila, Mutia; Samosir, Rafidah Almira
Reflection Journal Vol. 6 No. 2 (2026): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/4rgcf177

Abstract

Penelitian ini bertujuan untuk mengembangkan e-modul kimia berbasis Problem-Based Learning (PBL) yang terintegrasi dengan pendekatan deep learning pada materi termokimia serta menganalisis kelayakan, kepraktisan, dan efektivitasnya. Penelitian ini menggunakan metode Research and Development dengan model 4D (Define, Design, Develop, Disseminate). Subjek penelitian adalah 32 siswa kelas XI SMA Negeri 17 Medan yang dipilih secara purposive sampling karena mewakili kemampuan akademik heterogen dan sesuai kebutuhan uji coba produk. Instrumen penelitian meliputi lembar validasi ahli, angket respons siswa, serta tes hasil belajar pretest-posttest. Hasil penelitian menunjukkan e-modul berada pada kategori sangat layak untuk aspek media (86%) dan layak untuk aspek materi (73,38%). Respons siswa menunjukkan kategori praktis, sedangkan efektivitas ditunjukkan oleh nilai N-gain 0,71 (kategori tinggi). Temuan ini menegaskan bahwa integrasi PBL dan deep learning dalam bahan ajar digital mampu memperkuat pembelajaran bermakna, keterlibatan siswa, dan pemahaman konseptual pada materi kimia. Development of a PBL- and Deep Learning-Based Chemistry E-Module on Thermochemistry  This study aims to develop a chemistry e-module based on Problem-Based Learning (PBL) that integrates a deep learning approach into thermochemistry material, as well as to analyze its feasibility, practicality, and effectiveness. This study employs the Research and Development method using the 4D model (Define, Design, Develop, Disseminate). The subjects of the study were 32 eleventh-grade students at State High School 17 Medan, selected via purposive sampling because they represented a heterogeneous academic ability and met the requirements for product testing. Research instruments included an expert validation sheet, a student response questionnaire, and pretest-posttest learning outcome tests. The results of the study indicate that the e-module falls into the “highly suitable” category for the media aspect (86%) and the “suitable” category for the content aspect (73.38%). Student responses indicate the “practical” category, while effectiveness is demonstrated by an N-gain value of 0.71 (high category). These findings confirm that the integration of PBL and deep learning in digital instructional materials can enhance meaningful learning, student engagement, and conceptual understanding of chemistry content.