Dila Indra Nurdiansyah, - and Budi Laksono Putro, - and Yogi Prasetyo, - (2025) RANCANG BANGUN SISTEM REKOMENDASI PEMBELAJARAN ADAPTIF BERDASARKAN PROFIL MAHASISWA SELEKSI NASIONAL BERDASARKAN TES MENGGUNAKAN METODE RULE BASED SYSTEM DALAM MENDUKUNG KETERAMPILAN NEGOTIATING IDEAS. S1 thesis, Universitas Pendidikan Indonesia.
Abstract
Pembelajaran adaptif menjadi salah satu pendekatan yang efektif dalam menyesuaikan strategi pembelajaran dengan karakteristik individu mahasiswa. Di perguruan tinggi, penerapannya masih jarang difokuskan pada peningkatan keterampilan Negotiating Ideas, khususnya bagi mahasiswa jalur Seleksi Nasional Berdasarkan Tes (SNBT) yang memiliki latar belakang dan kesiapan belajar yang beragam. Kondisi ini menuntut adanya sistem yang mampu memberikan rekomendasi strategi pembelajaran secara otomatis berdasarkan profil mahasiswa, sehingga proses belajar menjadi lebih personal, kolaboratif, dan tepat sasaran. Penelitian ini bertujuan mengembangkan sistem rekomendasi pembelajaran adaptif berbasis rule-based system untuk mendukung keterampilan Negotiating Ideas. Metode yang digunakan adalah Research and Development (R&D) dengan model pengembangan Smart Learning Environment Establishment Guideline (SLEEG) yang diadaptasi dari kerangka kerja ADDIE. Desain penelitian yang digunakan adalah one group pretest–posttest design, melibatkan 23 mahasiswa jalur SNBT Program Studi Pendidikan Ilmu Komputer Universitas Pendidikan Indonesia yang mengikuti mata kuliah Sistem Basis Data. Instrumen yang digunakan meliputi tes keterampilan Negotiating Ideas, perhitungan N-Gain, dan kuesioner System Usability Scale (SUS). Hasil penelitian menunjukkan bahwa data pretest dan posttest tidak berdistribusi normal (uji Shapiro–Wilk), sehingga digunakan uji Wilcoxon dengan p-value = 0,005 (< 0,05) dan effect size = −0,684 (kategori sedang–besar). Nilai rata-rata N-Gain sebesar 0,33 (kategori sedang) menunjukkan peningkatan yang belum merata di seluruh mahasiswa. Penilaian SUS memperoleh skor 84,69 (Grade A+), menandakan tingkat kegunaan yang sangat tinggi. Dengan demikian, sistem yang dikembangkan terbukti efektif secara statistik dalam meningkatkan keterampilan Negotiating Ideas dan mendapatkan penerimaan yang sangat baik dari pengguna, meskipun pemerataan peningkatan kemampuan masih menjadi tantangan pada implementasi berikutnya. Adaptive learning has emerged as an effective approach to tailoring instructional strategies to the unique characteristics of individual students. In higher education, its application is still rarely focused on enhancing Negotiating Ideas skills, particularly for students admitted through the Indonesian National Test-Based Selection (SNBT) pathway, who often possess diverse backgrounds and varying levels of learning readiness. This condition highlights the need for a system capable of automatically generating learning strategy recommendations based on student profiles, enabling a more personalized, collaborative, and targeted learning process. This study aims to develop an adaptive learning recommendation system based on a rule-based system to support Negotiating Ideas skills. The research employed a Research and Development (R&D) approach using the Smart Learning Environment Establishment Guideline (SLEEG) model adapted from the ADDIE framework. A one-group pretest–posttest design was implemented, involving 23 SNBT students from the Computer Science Education program at Universitas Pendidikan Indonesia enrolled in the Database Systems course. Instruments included a Negotiating Ideas skills test, N-Gain analysis, and the System Usability Scale (SUS) questionnaire. Results indicated that both pretest and posttest data were non-normally distributed (Shapiro–Wilk test), leading to the use of the Wilcoxon test, which yielded a p-value of 0.005 (< 0.05) and an effect size of −0.684 (moderate-to-large category). The average N-Gain score of 0.33 (moderate category) indicated uneven improvement among students. The SUS evaluation yielded a score of 84.69 (Grade A+), reflecting excellent system usability. In conclusion, the developed system was statistically effective in improving Negotiating Ideas skills and received highly positive acceptance from users, although achieving more evenly distributed learning gains remains a challenge for future implementation.
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| Item Type: | Thesis (S1) |
|---|---|
| Additional Information: | https://scholar.google.com/citations?view_op=new_profile&hl=en ID SINTA Dosen Pembimbing: Budi Laksono Putro: 5993187 Yogi Prasetyo: 6745790 |
| Uncontrolled Keywords: | Negotiating Ideas, Rule-Based System, Sistem Rekomendasi Pembelajaran Adaptif, Smart Learning Environment Establishment Guideline (SLEEG). Adaptive Learning Recommendation System, Negotiating Ideas, Rule-Based System, Smart Learning Environment Establishment Guideline (SLEEG). |
| Subjects: | L Education > L Education (General) L Education > LB Theory and practice of education |
| Divisions: | Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Pendidikan Ilmu Komputer |
| Depositing User: | Dila Indra Nurdiansyah |
| Date Deposited: | 09 Sep 2025 01:57 |
| Last Modified: | 09 Sep 2025 01:57 |
| URI: | http://repository.upi.edu/id/eprint/137641 |
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