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All Journal Pedagogik Journal of Islamic Elementary School JURNAL PENDIDIKAN TAMBUSAI Indonesia Berdaya Jurnal Evaluasi dan Pembelajaran Hanoman Journal: Physical Education and Sport Bima Abdi: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan Journal of Artificial Intelligence and Digital Business Priviet Social Sciences Journal PAEDAGOGIE Advances In Education Journal
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Pelatihan Pembelajaran Koding pada Komunitas Belajar Pendidikan Dasar dan Menengah (Dikdasmen) Muhammadiyah Banjarbaru [Coding Learning Training at the Muhammadiyah Banjarbaru Elementary and Secondary Education (Dikdasmen) Learning Community] Utama, Agus Hadi; Qomario, Qomario; Rahman, Abdul; Dewantara, Brezto Asagi
Indonesia Berdaya Vol 7, No 3 (2026)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.20261252

Abstract

The community service activity (abdimas) titled "Coding Learning Training for the Muhammadiyah Primary and Secondary Education Learning Community (Dikdasmen) Banjarbaru" was implemented as part of the 2025 PDWA program. This activity was designed to enhance teacher competencies in response to the new curriculum direction, which integrates coding and Artificial Intelligence (AI). The target participants were teachers associated with the Muhammadiyah Teachers Forum (FGM) in Banjarbaru. The effectiveness of the training was measured using quantitative methods (pre-test and post-test) and qualitative methods (satisfaction surveys). Quantitative results from 39 participants indicated a highly significant improvement in understanding, with the average score increasing from 68.5 (pre-test) to 88 (post-test). These findings were reinforced by qualitative feedback, which showed high levels of satisfaction regarding the material, instructor performance, and training methods. More than 80% of participants gave a rating of 4 or 5 (on a 1-5 scale) for key aspects such as material applicability, instructor competence, and hands-on practice sessions. Overall, this training successfully achieved its objectives, proving capable of measurably increasing teacher capacity and being well-received by the partner community. Abstrak. Kegiatan pengabdian kepada masyarakat (abdimas) dengan judul Pelatihan Pembelajaran Koding pada Komunitas Belajar Pendidikan Dasar dan Menengah (Dikdasmen) Muhammadiyah Banjarbaru telah diselenggarakan sebagai implementasi program PDWA 2025. Kegiatan ini dirancang untuk meningkatkan kompetensi guru dalam menghadapi arah baru kurikulum yang mengintegrasikan pembelajaran koding dan Kecerdasan Artifisial (KA), sasaran guru yang tergabung dalam Forum Guru Muhammadiyah (FGM) Kota Banjarbaru. Efektivitas pelatihan diukur melalui metode kuantitatif (pre-test dan post-test) dan kualitatif (survei kepuasan). Hasil kuantitatif dari 39 peserta menunjukkan adanya peningkatan pemahaman yang sangat signifikan, di mana nilai rata-rata peserta meningkat dari 68,5 (pre-test) menjadi 88 (post-test). Hasil ini diperkuat oleh umpan balik kualitatif dari peserta, yang menunjukkan tingkat kepuasan sangat tinggi terhadap materi, kinerja pemateri, dan metode pelatihan yang digunakan. Mayoritas peserta lebih dari 80% memberikan nilai 4 atau 5 (skala 1-5) untuk aspek-aspek kunci seperti aplikabilitas materi, kompetensi pemateri, dan adanya sesi praktik langsung. Secara keseluruhan, kegiatan pelatihan ini berhasil mencapai tujuannya, terbukti mampu meningkatkan kapasitas guru secara terukur, dan diterima dengan sangat baik oleh komunitas mitra.
Peran Dosen Sebagai Korektor dalam Model Human-in-the-Loop (HITL) untuk Meningkatkan Akurasi Evaluasi Pembelajaran Berbasis Artificial Intelligence Abdul Rahman; Brezto Asagi Dewantara
Advances In Education Journal Vol. 2 No. 1 (2025): Advances In Education Journal (Agustus)
Publisher : Yayasan Al-Afif

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Artificial Intelligence (AI)-based learning evaluation is efficient but lacks nuance and risks bias, and the integration of lecturer assessments into the system remains unclear. This study aims to systematically review Human-in-the-Loop (HITL) models to map lecturer roles and measure the impact of their interventions. The study used a literature review of Google Scholar, IEEE, ACM Digital Library, Scopus, dan ERIC databases (2016–2025) with empirical inclusion criteria; 15 studies were analyzed. The results show that while AI improves evaluation efficiency, three lecturer roles initiator, supervisor, and facilitator generally do not directly improve model accuracy. Conversely, the corrector role, which utilizes lecturer feedback for retraining, has the greatest potential for accuracy improvement, but empirical evidence remains limited. Therefore, a shift from simply “Human-in-the-Loop” to a structured feedback mechanism based on Intelligence Augmentation that enables lecturers to contribute to the continuous improvement of Artificial Intelligence models is needed.
Co-Authors Abdul Rahman Abdul Rahman Alfarisa, Fitri Arsyad, M. Ziyan Takhqiqi Arta Mulya Budi Harsono Eka Cahya Sari Putra Fitri Nur Mahmudah Lahizha, Nadia Irsalina Lazaro Kumala Dewi Nurmahmudah, Fitri Qomario Qomario Rio Rini, Sulistyo Tamami, Wildan Utama, Agus Hadi