eprintid: 137714 rev_number: 47 eprint_status: archive userid: 217755 dir: disk0/00/13/77/14 datestamp: 2025-09-09 02:42:06 lastmod: 2025-09-09 02:42:06 status_changed: 2025-09-09 02:42:06 type: thesis metadata_visibility: show creators_name: Azzahra Pravita Zheta, - creators_name: Budi Laksono Putro, - creators_name: Andini Setya Arianti, - creators_nim: NIM2106019 creators_nim: NIDN0010077605 creators_nim: NIDN0031129402 creators_id: azzahra.pravita@upi.edu creators_id: budilp@upi.edu creators_id: andini.sa@upi.edu contributors_type: http://www.loc.gov/loc.terms/relators/THS contributors_type: http://www.loc.gov/loc.terms/relators/THS contributors_name: Budi Laksono Putro, - contributors_name: Andini Setya Arianti, - contributors_nidn: NIDN0010077605 contributors_nidn: NIDN0031129402 contributors_id: budilp@upi.edu contributors_id: andini.sa@upi.edu title: RANCANG BANGUN SISTEM REKOMENDASI PEMBELAJARAN ADAPTIF BERDASARKAN PROFIL MAHASISWA JALUR MANDIRI MENGGUNAKAN METODE FORWARD CHAINING DALAM MENDUKUNG KETERAMPILAN SHARING IDEAS ispublished: pub subjects: L1 subjects: LB subjects: T1 divisions: PENDILKOM full_text_status: restricted keywords: Collaboration Skill, Rule-Based System, Sharing Ideas, Sistem Rekomendasi Pembelajaran Adaptif Collaboration Skill, Recommendation System of Adaptive Learning, Rule-Based System, Sharing Ideas note: https://scholar.google.com/citations?hl=en&user=0WIECm8AAAAJ ID SINTA Dosen Pembimbing: Budi Laksono Putro: 5993187 Andini Setya Arianti: 6751563 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. date: 2025-08-28 date_type: published institution: Universitas Pendidikan Indonesia department: KODEPRODI83207#Pendidikan Ilmu Komputer_S1 thesis_type: other thesis_name: other official_url: https://repository.upi.edu/ related_url_url: https://perpustakaan.upi.edu/ related_url_type: org citation: 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. document_url: http://repository.upi.edu/137714/2/S_KOM_2106019_Chapter1.pdf document_url: http://repository.upi.edu/137714/3/S_KOM_2106019_Chapter2.pdf document_url: http://repository.upi.edu/137714/9/S_KOM_2106019_title.pdf document_url: http://repository.upi.edu/137714/4/S_KOM_2106019_Chapter3.pdf document_url: http://repository.upi.edu/137714/5/S_KOM_2106019_Chapter4.pdf document_url: http://repository.upi.edu/137714/6/S_KOM_2106019_Chapter5.pdf document_url: http://repository.upi.edu/137714/7/S_KOM_2106019_Appendix.pdf