MODUL DIGITAL BERBASIS STEM DENGAN BANTUAN ARTIFICIAL INTELLIGENCE (AI) PADA MATERI PEMANASAN GLOBAL

DIKI MAULANA, . (2026) MODUL DIGITAL BERBASIS STEM DENGAN BANTUAN ARTIFICIAL INTELLIGENCE (AI) PADA MATERI PEMANASAN GLOBAL. Sarjana thesis, UNIVERSITAS NEGERI JAKARTA.

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Abstract

Penelitian ini bertujuan mengembangkan modul digital berbasis STEM (Science, Technology, Engineering, and Mathematics) dengan bantuan Artificial Intelligence (AI) pada materi pemanasan global yang layak sebagai bahan ajar mandiri peserta didik kelas X SMA. Penelitian ini menggunakan metode Research and Development (R&D) dengan model ADDIE (Analisis, Desain, Pengembangan, Implementasi, Evaluasi) yang dibatasi hingga tahap pengembangan. Data dikumpulkan melalui wawancara, kuesioner, lembar uji kelayakan dan lembar uji coba. Penelitian pendahuluan yang melibatkan peserta didik dan guru di SMAN 59 Jakarta dengan 60 responden menunjukkan bahwa 53,3% (32 responden) mengalami kesulitan dalam belajar fisika, khususnya materi pemanasan global, sehingga diperlukan bahan ajar tambahan. Hasil penelitian menunjukkan bahwa produk yang dikembangkan menggunakan Canva dan Heyzine Flipbook dinyatakan sangat layak digunakan, dengan penilaian dari ahli materi sebesar 95,41%, ahli media 98,4%, dan ahli pembelajaran 91,07%. Hasil uji coba produk ke sekolah, didapatkan penilaian dari guru sebesar 95,83% (sangat baik) dan peserta didik 94,13% (sangat baik). Dengan demikian modul digital berbasis STEM dengan bantuan AI pada materi pemanasan global layak digunakan sebagai bahan ajar mandiri peserta didik kelas X SMA. Penelitian ini mendukung SDGs 4 (Quality Education) dan SDGs 13 (Climate Action) melalui pengembangan modul digital pada materi pemanasan global ***** This study aims to develop a STEM (Science, Technology, Engineering, and Mathematics)-based digital module with the help of Artificial Intelligence (AI) on global warming material that is feasible as independent teaching material for grade X. This study uses the Research and Development (R&D) method with the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) which is limited to the development stage. Data were collected through interviews, questionnaires, feasibility test sheets and trial sheets. Preliminary research involving students and teachers at SMAN 59 Jakarta with 60 respondents showed that 53.3% (32 respondents) experienced difficulties in learning physics, especially global warming material, so additional teaching materials were needed. The results showed that the product developed using Canva and Heyzine Flipbook was declared very feasible to use, with assessments from material experts of 95.41%, media experts 98.4%, and learning experts 91.07%. The results of the product trial at the school, obtained assessments from teachers of 95.83% (very good) and students 94.13% (very good). Thus, the AI-assisted STEM-based digital module on global warming is feasible for use as independent teaching material for grade X. This research supports SDGs 4 (Quality Education) and 13 (Climate Action) through the development of digital teaching materials on global warming

Item Type:	Thesis (Sarjana)
Additional Information:	1). Dr. Ir. Vina Serevina, M.M. ; 2). Dr. Hadi Nasbey, S.Pd., M.Si.
Subjects:	Pendidikan > Media Pembelajaran Sains > Fisika
Divisions:	FMIPA > S1 Pendidikan Fisika
Depositing User:	Users 34706 not found.
Date Deposited:	30 Jul 2026 02:18
Last Modified:	30 Jul 2026 02:18
URI:	http://repository.unj.ac.id/id/eprint/67662

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