eprintid: 138105 rev_number: 27 eprint_status: archive userid: 217792 dir: disk0/00/13/81/05 datestamp: 2025-09-08 07:23:40 lastmod: 2025-09-08 07:23:40 status_changed: 2025-09-08 07:23:40 type: thesis metadata_visibility: show creators_name: Deafani Meily Zianillah, - creators_name: Budi Laksono Putro, - creators_name: Yogi Prasetyo, - creators_nim: NIM2107961 creators_nim: NIDN0010077605 creators_nim: NIDN0024119204 creators_id: deafanimeilyz@upi.edu creators_id: budilp@upi.edu creators_id: yogiprasetyo@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: Yogi Prasetyo, - contributors_nidn: NIDN0010077605 contributors_nidn: NIDN0024119204 contributors_id: budilp@upi.edu contributors_id: yogiprasetyo@upi.edu title: PENGEMBANGAN SISTEM REKOMENDASI PEMBELAJARAN ADAPTIF BERDASARKAN PROFIL MAHASISWA SNBP MENGGUNAKAN METODE FORWARD CHAINING UNTUK MENDUKUNG KETERAMPILAN REGULATION PROBLEM SOLVING MAHASISWA ispublished: pub subjects: L1 subjects: LB subjects: QA75 divisions: PENDILKOM full_text_status: restricted keywords: Pembelajaran Adaptif, Forward Chaining, Sistem Rekomendasi Pembelajaran, Rule Based System, Kemampuan Pemecahan Masalah. Adaptive Learning, Forward Chaining, Learning Recommendation System, Rule Based System, Regulation Problem Solving. note: https://scholar.google.com/citations?hl=en&user=EbqHQEgAAAAJ ID SINTA Dosen Pembimbing Budi Laksono Putro : 5993187 Yogi Prasetyo : 6745790 abstract: Keberagaman latar belakang akademik mahasiswa jalur SNBP (Seleksi Nasional Berdasarkan Prestasi) menuntut perguruan tinggi untuk mengembangkan strategi pembelajaran yang lebih adaptif dan personal. Studi ini bertujuan untuk mengembangkan sistem rekomendasi pembelajaran adaptif berbasis web yang memanfaatkan metode inferensi forward chaining untuk mendukung kemampuan pemecahan masalah regulasi mahasiswa dalam lingkungan pembelajaran kolaboratif. Sistem ini dirancang berdasarkan profil mahasiswa yang dikumpulkan melalui kuesioner, dan memetakan strategi pembelajaran yang sesuai menggunakan sistem berbasis aturan. Metode riset dan pengembangan dengan pendekatan ADDIE dan Pedoman Pembentukan Lingkungan Pembelajaran Cerdas (SLEEG) diterapkan. Efektivitas sistem diuji menggunakan desain one shot case study (posttest) dengan melibatkan 12 mahasiswa jalur SNBP, sedangkan aspek usability diukur menggunakan System Usability Scale (SUS). Hasil penelitian menunjukkan bahwa kategori dominan terdiri dari 4 mahasiswa yang sesuai dengan rekomendasi sistem, dengan skor rata-rata tinggi sebesar 3,88. Secara keseluruhan, rata-rata skor mahasiswa jalur SNBP adalah 3,43. Temuan ini mengindikasikan bahwa sistem rekomendasi pembelajaran yang dikembangkan relevan dan mampu mendukung keterampilan regulation problem solving. Skor SUS mencapai 84,69 yang menunjukkan usability yang excellent. Studi ini menunjukkan bahwa sistem yang diusulkan menawarkan solusi praktis untuk menyediakan pengalaman belajar adaptif dan meningkatkan kompetensi pemecahan masalah kolaboratif siswa. Kata Kunci: Pembelajaran Adaptif, Forward Chaining, Sistem Rekomendasi Pembelajaran, Rule Based System, Kemampuan Pemecahan Masalah. The diversity of academic backgrounds among students enrolled through the SNBP (National Selection Based on Achievement) pathway requires universities to develop more adaptive and personalized learning strategies. This study aims to develop a web-based adaptive learning recommendation system that utilizes the forward chaining inference method to support students' regulatory problem-solving abilities in a collaborative learning environment. This system is designed based on student profiles collected through questionnaires, and maps appropriate learning strategies using a rule-based system. The research and development method with the ADDIE approach and the Smart Learning Environment Development Guidelines (SLEEG) was applied. The effectiveness of the system was tested using a one-shot case study (posttest) design involving 12 SNBP pathway students, while usability aspects were measured using the System Usability Scale (SUS). The results showed that the dominant category consisted of 4 students who matched the system's recommendations, with a high average score of 3.88. Overall, the average score of SNBP pathway students was 3.43. These findings indicate that the developed learning recommendation system is relevant and capable of supporting problem-solving regulation skills. The SUS score reached 84.69, indicating excellent usability. This study shows that the proposed system offers a practical solution for providing adaptive learning experiences and improving students' collaborative problem-solving competencies. Keywords: Adaptive Learning, Forward Chaining, Learning Recommendation System, Rule Based System, Regulation Problem Solving. date: 2025-09-08 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: Deafani Meily Zianillah, - and Budi Laksono Putro, - and Yogi Prasetyo, - (2025) PENGEMBANGAN SISTEM REKOMENDASI PEMBELAJARAN ADAPTIF BERDASARKAN PROFIL MAHASISWA SNBP MENGGUNAKAN METODE FORWARD CHAINING UNTUK MENDUKUNG KETERAMPILAN REGULATION PROBLEM SOLVING MAHASISWA. S1 thesis, Universitas Pendidikan Indonesia. document_url: http://repository.upi.edu/138105/1/S_KOM_2107961_Title.pdf document_url: http://repository.upi.edu/138105/2/S_KOM_2107961_Chapter1.pdf document_url: http://repository.upi.edu/138105/3/S_KOM_2107961_Chapter2.pdf document_url: http://repository.upi.edu/138105/4/S_KOM_2107961_Chapter3.pdf document_url: http://repository.upi.edu/138105/5/S_KOM_2107961_Chapter4.pdf document_url: http://repository.upi.edu/138105/6/S_KOM_2107961_Chapter5.pdf document_url: http://repository.upi.edu/138105/7/S_KOM_2107961_Appendix.pdf