Ivan Septian, - (2024) RANCANG BANGUN SMART EVALUATION SYSTEM MENGGUNAKAN RULE BASED REASONING UNTUK MENDUKUNG PEMBELAJARAN ADAPTIF SISWA. S1 thesis, Universitas Pendidikan Indonesia.
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Abstract
Kurikulum Merdeka di Sekolah Menengah Kejuruan (SMK) mendorong siswa untuk aktif dalam pembelajaran dan mengembangkan keterampilan industri, seperti bahasa pemrograman. Namun, kesulitan memahami konsep dasar pemrograman menyebabkan beberapa siswa kesulitan. Untuk mengatasi ini, diperlukan sistem evaluasi adaptif yang disesuaikan dengan kemampuan siswa. Pendekatan Rule-Based Reasoning menawarkan solusi untuk mendukung pembelajaran adaptif dan meningkatkan kemampuan kognitif siswa. Maka dari itu penelitian ini bertujuan untuk merancang smart evaluation system dengan Rule-Based Reasoning untuk meningkatkan kemampuan kognitif siswa pada pembelajaran adaptiif. Penelitian ini fokus pada materi percabangan di kelas XI RPL di SMK Negeri 4 Bandung, menggunakan metode Smart Learning Environment Establishment Guideline (SLEEG) dan desain One Group Pretest Posttest. Berdasarkan penelitian yang telah dilakukan melalui uji paired t test menunjukan peningkatan signifikan dari media smart evaluation system terhadap tingkat kognitif siswa. Hasil penelitian juga menunjukkan peningkatan signifikan dalam kognitif siswa dengan skor N-gain 67% dan tanggapan positif terhadap sistem evaluasi dengan nilai 82,75% dengan kategori "Sangat Baik". Dapat disimpulkan bahwa media smart evaluation system dapat meningkatan kemampuan kognitif siswa. The Merdeka Curriculum at Vocational High Schools (SMK) encourages students to be active in learning and develop industrial skills, such as programming languages. However, difficulties in understanding basic programming concepts cause some students to struggle. To address this, an adaptive evaluation system tailored to students' abilities is needed. Rule-Based Reasoning offers a solution to support adaptive learning and enhance students' cognitive abilities. Therefore, this study aims to design a smart evaluation system using Rule-Based Reasoning to improve students' cognitive abilities in adaptive learning. This study focuses on the branching material in the XI RPL class at SMK Negeri 4 Bandung, using the Smart Learning Environment Establishment Guideline (SLEEG) and a one-group pretest-posttest design. Based on the research conducted through paired t-test, it shows a significant increase in cognitive levels of students using the smart evaluation system. The research also shows a significant increase in cognitive levels of students with an N-gain score of 67% and positive feedback towards the evaluation system with an 82.75% score in the "Very Good" category. It can be concluded that the smart evaluation system can enhance students' cognitive abilities.
Item Type: | Thesis (S1) |
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Additional Information: | https://scholar.google.com/citations?hl=en&user=iLyM1OQAAAAJ ID SINTA Dosen Pembimbing: Wahyudin: 5979725 Nusuki Syariati Fathimah: 6751506 |
Uncontrolled Keywords: | Pembelajaran Adaptif, Rule-based Reasoning, Smart Evaluation System, Smart Learning Environment Establishment Guideline. Adaptive Learning, Rule-based Reasoning, Smart Evaluation System, Smart Learning Environment Establishment Guideline. |
Subjects: | L Education > L Education (General) L Education > LB Theory and practice of education Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) |
Divisions: | Fakultas Pendidikan Matematika dan Ilmu Pengetahuan Alam > Program Studi Pendidikan Ilmu Komputer |
Depositing User: | Ivan Septian |
Date Deposited: | 06 Sep 2024 06:50 |
Last Modified: | 06 Sep 2024 06:50 |
URI: | http://repository.upi.edu/id/eprint/122670 |
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