Delfin Masna Gulo
Sekolah Tinggi Olahraga dan Kesehatan Bina Guna, Indonesia

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Value and Character Education in the Perspective of General Education in Higher Education Fuadaturrahmah Fuadaturrahmah; Sukma Ningtias; Doni Setiari; Ebenezer Tarigan; Desnor Steven Waruwu; Waruwu Waruwu; Delfin Masna Gulo; Dwi Agillia Putri; Dhea Reni Anggraini
Education Achievement: Journal of Science and Research Volume 5 Issue 2 July 2024
Publisher : Pusdikra-Publishing.com

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/jsr.v5i2.1965

Abstract

To effectively address the growing complexity of living conditions, its crucial to use a comprehensive and multidisciplinary approach. Engaging with experts from many scientific fields s crucial for finding tailored answers to complex problems that require knowledge from multiple disciplines. Library research s utilised to investigate and clarify data. This inquiry utilises literature the form of rules to assess the value and character education higher education from a general education perspective. The aim of this study s to examine and offer arguments concerning the subjects of value and character education higher education institutions Indonesia, focusing on the perspective of general education. Here s a brief overview of the findings from this investigation: General education, sometimes known as "liberal education," provides unique answers that are not accessible in other academic disciplines. Moreover, general education has the ability to bring together different academic fields by examining the fundamental concepts of science, which are closely connected to morals and ethics. General education hinders the scientific community's ability to protect tself from other scientific fields or engage in conflicts with each other by presuming that science has any moral or ethical principles. The core focus of general education lies an cultivating values and character, which empower persons who have undergone general education to develop a well-rounded personality and acquire extensive knowledge across various disciplines. This research s expected to encourage individuals to embrace a more open-minded outlook on the accessibility of many areas of study, therefore avoiding the limitation of confining oneself to their present expertise. To be competitive in the constantly changing and sophisticated world, humans must cultivate an enduring inclination to acquire knowledge and engage in continuous study.
Penggunaan Deep Learning untuk Mengidentifikasi Postur Tubuh Siswa dalam Pembelajaran Senam M Chandra Dassena; Denny Setyawan; Delfin Masna Gulo; Ebenezer Tarigan; Mawar Humairoh Marpaung
Center of Knowledge : Jurnal Pendidikan Dan Pengabdian Masyarakat Volume 5 Nomor 2 Agustus 2025
Publisher : Pusdikra Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/cok.v5i2.2859

Abstract

Pendidikan jasmani memiliki tantangan dalam hal akurasi observasi gerakan siswa, terutama ketika jumlah peserta didik banyak dan variasi gerakan yang diajarkan cukup kompleks. Kesalahan postur tubuh yang tidak terdeteksi berpotensi menurunkan kualitas pembelajaran dan meningkatkan risiko cedera. Kegiatan yang digunakan bertujuan untuk mengevaluasi efektivitas penggunaan teknologi deep learning dalam mengidentifikasi postur tubuh siswa pada pembelajaran senam. Metode yang digunakan berupa pendekatan mix methode dengan desain deskriptif. Populasi penelitian adalah siswa sekolah menengah pertama, dengan sampel sebanyak 40 siswa yang dipilih secara purposive. Instrumen penelitian meliputi kamera digital, sistem analisis berbasis deep learning, lembar observasi guru, serta kuesioner persepsi siswa. Prosedur kegiatan terdiri atas persiapan, pelaksanaan, dan evaluasi, dengan analisis data dilakukan melalui statistik deskriptif, uji-t, korelasi, dan triangulasi. Hasil kegiatan menunjukkan bahwa sistem deep learning mampu mengidentifikasi postur tubuh dengan tingkat akurasi 89%, lebih tinggi dibanding observasi manual guru yang hanya 76%. Temuan ini menegaskan bahwa deep learning dapat mengurangi human error dan memberikan umpan balik visual yang efektif untuk perbaikan gerakan siswa. Siswa dan guru menyatakan bahwa penggunaan teknologi ini meningkatkan motivasi, keterlibatan, serta efisiensi pembelajaran. Meskipun demikian, keterbatasan penelitian terdapat pada cakupan sampel yang sempit dan spesifikasi perangkat keras yang terbatas.