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Deep Learning Approach in PAI Learning to Develop HOTS of Students of SMA Muhammadiyah PK Kottabarat Surakarta Janati, Alya Amellia Ayu; Ali, Mohamad; Sholihah, Munaya Maratus
Proceeding ISETH (International Summit on Science, Technology, and Humanity) 2025: Proceeding ISETH (International Summit on Science, Technology, and Humanity)
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

This research is directed to examine in depth the application of the deep learning approach in the learning of Islamic Religious Education (PAI), examine its impact on the development of Higher-Order Thinking Skills (HOTS) of students, and uncover various challenges that arise along with their implementing solutions at SMA Muhammadiyah PK Kottabarat Surakarta. The research uses a qualitative method with a phenomenological approach to understand students' learning experiences and learning practices holistically in a real context. Data collection was carried out through participatory observation, in-depth interviews with teachers and students, and study of learning documents, which were then analyzed inducively with triangulation techniques to ensure the validity and credibility of the data. The findings of the study show that the application of the deep learning approach is able to increase active student involvement while developing HOTS, especially in the ability to analyze, evaluate, and create. PAI learning becomes more contextual, reflective, and student-oriented as a learning subject. In addition to improvements in the cognitive domain, this study also found positive changes in students' learning attitudes, such as increased activeness, critical power, and courage in expressing opinions. Thus, the deep learning approach not only has an impact on learning outcomes, but also forms a more independent and meaningful learning character. This research makes an empirical contribution to the development of deep learning-based PAI learning strategies and can be used as a practical reference for teachers in designing learning that is adaptive, innovative, and relevant to the demands of education in the modern era.
Pelatihan dan pendampingan deep learning untuk guru ISMUBA di Sekolah Muhammadiyah se-Surakarta Ali, Mohamad; Istanto, Istanto; Inayati, Nurul Latifatul; Dartim, Dartim; Maksum, Muh. Nur Rochim; Al Hadi, Abil Fida Muhammad Qois; Muqoddas, Lintang Faza; Choirunisa, Ernita Chandra; Putri, Febriyani Amelia; Sholekhah, Linda Ayu; Setyaningrum, Indah; Janati, Alya Amellia Ayu; Anggraini, Fadhilla Nangroe
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i2.38470

Abstract

Abstrak Transformasi digital pendidikan menuntut guru memiliki literasi teknologi dan kemampuan pedagogik berbasis data, namun sebagian guru ISMUBA masih memiliki pemahaman terbatas mengenai pemanfaatan Deep Learning dalam pembelajaran. Pengabdian ini bertujuan meningkatkan kompetensi pengetahuan dan keterampilan guru dalam merancang serta mengimplementasikan pembelajaran berbasis Deep Learning. Metode pelaksanaan menggunakan pendekatan partisipatif melalui sosialisasi, pelatihan konseptual dan praktik, pendampingan project-based learning, serta evaluasi. Mitra kegiatan adalah 15 sekolah Muhammadiyah di Surakarta dengan 60 guru ISMUBA sebagai peserta. Evaluasi dilakukan menggunakan pre-test dan post-test serta penilaian produk pembelajaran. Hasil menunjukkan peningkatan kompetensi yang signifikan, yaitu kategori pengetahuan tinggi meningkat dari 25% menjadi 70%. Selain itu, peserta berhasil mengembangkan minimal tiga model pembelajaran berbasis Deep Learning yang siap diterapkan serta meningkatkan kepercayaan diri guru dalam penggunaan teknologi pembelajaran. Program juga membentuk komunitas kolaboratif guru berbasis teknologi sehingga berpotensi meningkatkan kualitas pembelajaran adaptif dan berbasis data secara berkelanjutan. Kata kunci: deep learning; literasi digital; ISMUBA; pembelajaran berbasis data; pengabdian masyarakat. Abstract The digital transformation of education requires teachers to have technological literacy and data-based pedagogic skills, but some ISMUBA teachers still have a limited understanding of the use of Deep Learning in learning. This service aims to improve teachers' knowledge competencies and skills in designing and implementing Deep Learning-based learning. The implementation method uses a participatory approach through socialization, conceptual and practical training, project-based learning assistance, and evaluation. The partners of the activity were 15 Muhammadiyah schools in Surakarta with 60 ISMUBA teachers as participants. Evaluation is carried out using pre-test and post-test as well as assessment of learning products. The results showed a significant increase in competence, i.e. the category of high knowledge increased from 25% to 70%. In addition, participants managed to develop at least three Deep Learning-based learning models that are ready to be implemented and increase teachers' confidence in the use of learning technology. The program also forms a collaborative community of technology-based teachers so that it has the potential to improve the quality of adaptive and data-based learning in an ongoing manner. Keywords: deep learning; digital literacy; ISMUBA; data-driven learning; community service.