RANCANG BANGUN SISTEM REKOMENDASI PEMBELAJARAN ADAPTIF BERDASARKAN PROFIL MAHASISWA JALUR MANDIRI MENGGUNAKAN METODE FORWARD CHAINING DALAM MENDUKUNG KETERAMPILAN SHARING IDEAS

    Azzahra Pravita Zheta, - and Budi Laksono Putro, - and Andini Setya Arianti, - (2025) RANCANG BANGUN SISTEM REKOMENDASI PEMBELAJARAN ADAPTIF BERDASARKAN PROFIL MAHASISWA JALUR MANDIRI MENGGUNAKAN METODE FORWARD CHAINING DALAM MENDUKUNG KETERAMPILAN SHARING IDEAS. S1 thesis, Universitas Pendidikan Indonesia.

    Abstract

    Keterampilan kolaboratif merupakan kompetensi penting dalam pendidikan tinggi, khususnya kemampuan sharing ideas yang mencakup menyampaikan pemikiran, membangun pemahaman bersama, dan memberikan kontribusi intelektual dalam diskusi kelompok. Namun, mahasiswa masih menunjukkan partisipasi yang rendah dan kurang percaya diri dalam kegiatan kolaboratif. Penelitian ini bertujuan mengembangkan sistem rekomendasi pembelajaran adaptif berbasis rule-based dengan metode forward chaining untuk mendukung keterampilan sharing ideas mahasiswa berdasarkan profil individu mereka. Sistem dikembangkan menggunakan Smart Learning Environment Establishment Guideline (SLEEG). Sistem memanfaatkan profil mahasiswa meliputi kesiapan akademik, latar belakang pendidikan, kondisi ekonomi, dan pengalaman belajar untuk menghasilkan strategi pembelajaran yang personal. Efektivitas sistem diuji melalui desain kuasi eksperimen one-group pretest-posttest dan penilaian sejawat (peer assessment), serta uji kebergunaan sistem menggunakan System Usability Scale (SUS). Hasil penelitian menunjukkan dampak positif terutama pada mahasiswa dengan kemampuan awal kolaborasi yang rendah hingga sedang. Skor SUS rata-rata sebesar 84,06 mengindikasikan tingkat kebergunaan sistem yang sangat baik. Penelitian ini membuktikan bahwa sistem rekomendasi pembelajaran adaptif dapat menjadi alat efektif dalam mendukung pengembangan keterampilan kolaboratif. Collaborative skills are crucial competencies in higher education, particularly the ability to share ideas, which includes expressing thoughts, building shared understanding, and making intellectual contributions in group discussions. However, students from independent pathways still show low participation and lack of confidence in collaborative activities. This study aims to develop an adaptive learning recommendation system based on rule-based forward chaining to support students' sharing ideas skills based on their individual profiles. The system was developed using the Smart Learning Environment Establishment Guideline (SLEEG). The system utilizes student profiles, including academic readiness, educational background, economic conditions, and learning experiences, to generate personalized learning strategies. The effectiveness of the system was tested through a quasi-experimental one-group pretest posttest design and peer assessment, and the system's usability was evaluated using the System Usability Scale (SUS). The research findings show a positive impact primarily on students with initial collaboration skills ranging from low to moderate. The average SUS score of 84.06 indicates a very high level of system usefulness. This study proves that an adaptive learning recommendation system can be an effective tool in supporting the development of collaborative skills in higher education.

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    Official URL: https://repository.upi.edu/
    Item Type: Thesis (S1)
    Additional Information: https://scholar.google.com/citations?hl=en&user=0WIECm8AAAAJ ID SINTA Dosen Pembimbing: Budi Laksono Putro: 5993187 Andini Setya Arianti: 6751563
    Uncontrolled Keywords: Collaboration Skill, Rule-Based System, Sharing Ideas, Sistem Rekomendasi Pembelajaran Adaptif Collaboration Skill, Recommendation System of Adaptive Learning, Rule-Based System, Sharing Ideas
    Subjects: L Education > L Education (General)
    L Education > LB Theory and practice of education
    T Technology > T Technology (General)
    Divisions: Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Pendidikan Ilmu Komputer
    Depositing User: Azzahra Pravita Zheta
    Date Deposited: 09 Sep 2025 02:42
    Last Modified: 09 Sep 2025 02:42
    URI: http://repository.upi.edu/id/eprint/137714

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