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All Journal Jurnal Informatika dan Teknik Elektro Terapan Journal of Integrated Elementary Education
Bagja Nugraha
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Computer Science & IT Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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The Effectiveness of AI-Based Education Management Systems in Implementing Deep Learning Curriculum in Elementary Schools Enjang Yusup Ali; Rana Gustian Nugraha; Bagja Nugraha
Journal of Integrated Elementary Education Vol. 5 No. 2 (2025): April-September
Publisher : Universitas Islam Negeri Walisongo Semarang in collaboration with PD PGMI Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jieed.v5i2.28004

Abstract

The purpose of this study is to evaluate the effectiveness of artificial intelligence (AI) in supporting elementary school teachers in implementing the deep learning curriculum. Two groups from a public elementary school in Sumedang Regency participated in a quantitative, quasi-experimental design. While the control group employed traditional teaching techniques, the experimental group used AI-based support. Pretest and posttest tools for learning outcomes were used to gather data. The Shapiro-Wilk normality test, Levene's homogeneity test, Wilcoxon signed-rank test, and N-Gain effectiveness analysis were among the methods used to analyze the data. The results show that students in the experimental group outperformed those in the control group in terms of their learning outcomes. A significant difference between the pretest and posttest scores was indicated by the Wilcoxon test's significance value of 0.000. The experimental group's average N-Gain score was 0.58 (58.13%), which was considered moderate and higher than the control group's 0.37 (37.48%). These findings show that integrating AI not only increases student learning effectiveness but also gives teachers the ability to evaluate learning data in real time and modify their lessons to meet the needs of their students. It is determined that deep learning curricula in elementary schools can be successfully supported by the application of AI. To guarantee long-term implementation, schools are urged to improve their digital infrastructure and offer sufficient teacher training.
Perancangan Web LMS Berbasis Komunitas Menggunakan Prototype Model pada HIMSIKA Vian Haryadi; Bagja Nugraha; Azhari Ali Ridha
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.9991

Abstract

Study Club HIMSIKA sebagai komunitas pembelajaran nonformal mahasiswa Sistem Informasi menghadapi kendala pengelolaan pembelajaran yang tersebar pada berbagai platform tidak terintegrasi. Penelitian ini bertujuan merancang dan membangun Web Learning Management System (LMS) berbasis komunitas menggunakan Prototype Model serta mengevaluasi fungsionalitas dan penerimaan penggunanya. Pengembangan dilaksanakan melalui tahapan Communication, Quick Design, Prototype Building, User Evaluation, dan Refinement. Sistem dibangun pada ekosistem JavaScript dengan Next.js, React, Express.js, PostgreSQL, dan Prisma ORM, mencakup pengelolaan course, module, dan lesson, submission, forum diskusi, notifikasi, sertifikat, serta Role-based access control. Blackbox Testing terhadap 49 kasus uji mencapai keberhasilan 100% dan User Acceptance Testing memperoleh penerimaan 95,52% dengan kategori Sangat Baik, dengan seluruh umpan balik pengguna ditindaklanjuti pada tahap Refinement hingga ditetapkan Prototype final. Hasil ini menunjukkan Prototype Model menghasilkan prototype fungsional Web LMS yang memenuhi kebutuhan pengguna dan dapat menjadi rujukan pengembangan sistem pembelajaran komunitas pada organisasi kemahasiswaan.
Co-Authors Ali, Enjang Yusup Azhari Ali Ridha Rana Gustian Nugraha Vian Haryadi