Electronic Theses and Dissertation

Qatrun nida. (2026). analisis kualitas perangkat pembelajaran materi virus melalui expert judgment berbasis deep learning. [skripsi. universitas syiah kuala]. di bawah bimbingan dr. muhibbuddin, m.s. dan dr. hafnati rahmatan, m.si. perkembangan teknologi dalam dunia pendidikan mendorong hadirnya inovasi perangkat pembelajaran berbasis deep learning yang meliputi media augmented reality (ar), modul ajar, lembar kerja peserta didik (lkpd), dan instrument penilaian sebagai upaya penyajian materi virus secara interaktif dan berkualitas. penelitian ini bertujuan untuk menganalisis kualitas perangkat pembelajaran materi virus berbasis deep learning berdasarkan penilaian para ahli (expert judgment). penelitian ini menggunakan metode survei dengan pendekatan kuantitatif dan jenis penelitian deskriptif. subjek penelitian terdiri atas dosen ahli sebagai validator kelayakan perangkat pembelajaran, guru biologi sebagai penilai perangkat pembelajaran, serta 30 peserta didik kelas x sma negeri 2 banda aceh sebagai sampel uji keterbacaan media dan uji coba soal yang dipilih menggunakan teknik purposive sampling. instrumen yang digunakan meliputi lembar validasi ahli, lembar penilaian guru, soal tes, dan angket keterbacaan media. analisis data dilakukan menggunakan indeks aiken’s v untuk validasi ahli serta persentase skor untuk penilaian guru dan keterbacaan media. hasil penelitian menunjukkan bahwa berdasarkan penilaian ahli, media pembelajaran ar memperoleh nilai validasi isi sebesar 0,78, modul ajar sebesar 0,89, dan lkpd sebesar 0,81, seluruhnya dinyatakan valid dan layak digunakan. penilaian guru terhadap perangkat pembelajaran seluruhnya berada dalam kategori sangat baik, dengan media ar memperoleh rata-rata 95,6%, modul 93,0%, dan lkpd 90,1%. instrumen soal menunjukkan 57 dari 60 butir dnyatakan valid secara isi oleh ahli, sementara uji coba empiris kepada peserta didik menghasilkan 49 butir memenuhi kriteria valid. hasil uji keterbacaan media oleh peserta didik berada dalam kategori sangat baik dengan perolehan rata-rata sebesar 87,9%. berdasarkan hasil tersebut, perangkat pembelajaran materi virus berbasis deep learning telah memenuhi standar kualitas dan layak digunakan dalam proses pembelajaran biologi di sekolah menengah atas. hasil penelitian ini diharapkan dapat menjadi referensi pengembangan perangkat pembelajaran berbasis deep learning yang inovatif dan berkualitas di dunia pendidikan. kata kunci: augmented reality, deep learning, expert judgment, perangkat ajar, virus.

Qatrun Nida. (2026). Analysis of the Quality of Learning Materials on Viruses Using Deep Learning-Based Expert Judgment. [Script. Universitas Syiah Kuala]. Under direction of Dr. Muhibbuddin, M.S. and Dr. Hafnati Rahmatan, M.Si. Technological developments in the field of education have encouraged the emergence of Deep Learning-based learning device innovations, including Augmented Reality (AR) media, teaching modules, Student Worksheets (LKPD), and assessment instruments, as an effort to present virus material in an interactive and high-quality manner. This study aims to analyze the quality of Deep Learning-based learning devices on virus material based on expert judgment. This study employed a survey method with a quantitative approach and a descriptive research type. The research subjects consisted of expert lecturers as validators of the feasibility of the learning devices, biology teachers as evaluators of the learning devices, and 30 tenth-grade students of SMA Negeri 2 Banda Aceh as samples for the media readability test and question trial, selected using purposive sampling technique. The instruments used included expert validation sheets, teacher assessment sheets, test questions, and a media readability questionnaire. Data analysis was conducted using Aiken's V index for expert validation and percentage scores for teacher assessment and media readability. The results showed that, based on expert assessment, the AR learning media obtained a content validity score of 0.78, the teaching module 0.89, and the LKPD 0.81, all of which were declared valid and feasible for use. Teacher assessment of the learning devices fell entirely within the very good category, with the AR media obtaining an average of 95.6%, the module 93.0%, and the LKPD 90.1%. The test instrument showed that 57 of 60 items were declared content-valid by experts, while empirical trials with students resulted in 49 items meeting the valid criteria. The media readability test conducted by students fell within the very good category, with an average score of 87.9%. Based on these results, the Deep Learning-based learning devices on virus material have met quality standards and are feasible for use in the biology learning process at the senior high school level. The results of this study are expected to serve as a reference for the development of innovative and high-quality Deep Learning-based learning devices in the field of education. Keywords: Augmented Reality, Deep Learning, Expert Judgment, Educational Media, Teaching Materials