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Pendidikan Nilai-Nilai Sosial Budaya Lokal sebagai Upaya Menanamkan Toleransi pada Siswa SD Muhammadiyah 1 Kota Sorong Uswatul Mardliyah; Siti Nurul Nikmatul Ula; Masni Banggu; Bustamin Wahid; Kamaluddin; Lukman Rais; Abu Bakar; Muh. Mawardi
Abdimas: Papua Journal of Community Service Vol. 7 No. 2 (2025): Juli
Publisher : Lembaga Pengembangan dan Pengabdian Masyarakat Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/pjcs.v7i2.4452

Abstract

AbstrakPenelitian ini bertujuan untuk mendeskripsikan peran pendidikan nilai-nilai sosial budaya lokal dalam menanamkan sikap toleransi kepada siswa di SD Muhammadiyah 1 Kota Sorong. Dalam konteks masyarakat multikultural seperti Kota Sorong, pendidikan yang mengangkat kearifan lokal menjadi strategi penting dalam membentuk karakter peserta didik yang mampu hidup rukun dalam keberagaman. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi. Hasil penelitian menunjukkan bahwa integrasi nilai-nilai sosial budaya lokal—seperti gotong royong, musyawarah, dan saling menghargai dalam kegiatan pembelajaran dan kehidupan sekolah berdampak positif terhadap peningkatan sikap toleransi siswa. Selain itu, dukungan guru, lingkungan sekolah, dan keterlibatan orang tua turut memperkuat internalisasi nilai-nilai tersebut. Dengan demikian, pendidikan berbasis budaya lokal efektif sebagai sarana membangun harmoni dan menghargai perbedaan sejak usia dini.
WEARABLE DEVICE DAN AI DALAM MONITORING BEBAN LATIHAN DAN RISIKO CEDERA: SYSTEMATIC LITERATURE REVIEW Mukharrarfadjri; Emayanti Anggraeni; Muh. Mawardi; Jusrianto As
Journal of Innovation Research and Knowledge Vol. 5 No. 7 (2025): Desember 2025
Publisher : Bajang Institute

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Abstract

The development of wearable device technology and Artificial Intelligence (AI) has opened new opportunities in sports science, particularly in monitoring training load and preventing injury risk. Wearable devices enable objective, real-time measurement of physiological and biomechanical parameters, while AI plays a role in analyzing complex data to identify training load patterns and predict potential injuries. The purpose of this study is to synthesize findings from 15 scientific articles related to the use of wearable devices and AI in monitoring training load and sports injury risk. The method used was a literature review of internationally reputable articles discussing the use of wearable sensors, machine learning, and deep learning in the sports context. The results of the study indicate that the integration of wearable devices and AI can improve the accuracy of training load monitoring, strengthen injury risk prediction, and support data-driven decision-making in training management. However, most research still focuses on elite athletes, so its application in the context of physical education and school sports is still limited. In conclusion, the integration of wearable devices and AI has great potential in optimizing training load and preventing injuries, and requires further development for its widespread adaptation to various populations and sports coaching contexts.