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PERAN TEKNOLOGI 5G DALAM MENDORONG INOVASI PEMBELAJARAN Jamil, Muhammad Abdun; Haetami, Aceng; Mayasari, Mayasari; Aina, Mia; Sukini, Sukini; Ulimaz, Almira
Jurnal Review Pendidikan dan Pengajaran Vol. 7 No. 1 (2024): Volume 7 No 1 Tahun 2024
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v7i1.25562

Abstract

Penelitian ini menjelajahi potensi Teknologi 5G dalam memajukan inovasi dalam pembelajaran. Dengan memfokuskan pada aspek kecepatan tinggi, responsivitas, dan integrasi teknologi canggih, penelitian ini memberikan pemahaman yang mendalam mengenai pengaruh Teknologi 5G terhadap pembelajaran. Melalui pendekatan studi literatur, hasil utama mencakup peningkatan aksesibilitas dan responsivitas dalam pembelajaran daring, pemanfaatan augmented reality (AR) dan virtual reality (VR) untuk pengalaman belajar yang lebih mendalam, serta dukungan Internet of Things (IoT) untuk pembelajaran yang disesuaikan secara personal. Namun, perlu dicatat bahwa masalah keamanan data, isu etika, dan ketidaksetaraan akses menjadi fokus krusial dalam menerapkan Teknologi 5G di bidang pendidikan. Kesimpulan dari penelitian ini adalah bahwa, dengan mengatasi risiko yang sesuai, Teknologi 5G berpotensi menjadi fondasi utama dalam membentuk masa depan pendidikan yang fleksibel dan inklusif.
ETHICAL AND DATA SECURITY ANALYSIS IN THE IMPLEMENTATION OF GENERATIVE AI IN HIGHER EDUCATION ENVIRONMENTS Haetami, Aceng; Aghata, Frhendy
MSJ : Majority Science Journal Vol. 3 No. 4 (2025): MSJ-November
Publisher : PT. Hafasy Dwi Nawasena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61942/msj.v3i4.482

Abstract

The rapid adoption of generative artificial intelligence in higher education has introduced significant pedagogical opportunities while simultaneously raising critical concerns regarding academic ethics and data security. This study aims to analyze ethical risks and data vulnerabilities associated with the use of generative AI by university students and lecturers, as well as to assess institutional readiness in establishing responsible AI governance. Using an analytical literature study with a descriptive qualitative approach, this research synthesizes empirical and conceptual findings from reputable international publications between 2015 and 2024. The findings indicate that generative AI poses threats to academic integrity through machine-generated plagiarism, reduced critical thinking, and algorithmic bias in learning processes. From a data security perspective, major risks include opaque data-storage policies, potential model memorization of sensitive information, and weak cybersecurity infrastructures in universities. Institutional readiness remains limited, marked by the absence of AI ethics guidelines, low AI literacy among academic communities, and inadequate monitoring mechanisms. This study recommends the development of generative-AI ethical guidelines, enhancement of digital literacy, improvement of data protection standards, and the establishment of AI governance committees within universities.
The Implementation of Problem Based Learning (PBL) Model in Thermochemistry to Enhance Concept Understanding in 11th Grade Science Students at SMAN 1 Anggaberi Novriana, Dita Tri; Harimu, La; Haetami, Aceng
The Future of Education Journal Vol 5 No 1 (2026)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v5i1.1625

Abstract

This research aims to determine the description of students' concept understanding, effectiveness, and student responses to the application of the problem-based learning model on thermochemical  material for class XI MIA SMAN 1 Anggaberi. The sample in this study was class XI Mia, with a total of 18 students as the experimental class. The research method used was pre-experimental with a Pretest-Posttest Control Group Design. Data collection techniques used Pretest-Posttest, observation sheets, and questionnaires. The results showed that the learning outcomes of class XI MIA₂ students of SMAN 1 Anggaberi who were taught using the Problem Based Learning model obtained an average score of 83.33, student learning activities of 85.75%, and a response questionnaire of 71.30%. The N-gain analysis results showed that the problem-based learning model was significantly effective on student learning outcomes in the thermochemical system material at SMAN 1 Anggaberi, which was proven by the N-gain test analysis results with a value of 0.77.
DEVELOPMENT OF INTERACTIVE VIDEO BASED ON LOOMIE LIVE APPLICATION ASSISTED BY NEARPOD AS LEARNING MEDIA ON THE SUBJECT OF CHEMICAL BONDS Haetami, Aceng; Karsita, Elma; Maysara, Maysara; Dahlan, Dahlan; Esnawi, Esnawi; Arsyad, Muhammad
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 10 No. 1 (2026): Volume 10, Nomor 1, February 2026
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v10i1.53109

Abstract

The abstract nature of chemical bonding concepts often results in low student engagement and suboptimal learning outcomes, particularly when instruction relies on teacher-centered approaches. This study aimed to develop and evaluate an interactive video learning medium based on the Loomie Live application integrated with Nearpod and structured using the Problem-Based Learning (PBL) model. Employing a Research and Development (R&D) design, the study involved expert validation, small-group trials (n = 9), and field implementation with 30 tenth-grade students. Data were collected using validation sheets, practicality questionnaires, observation sheets, and pretest–posttest instruments, and analyzed using percentage criteria and N-gain scores. The results indicated that the developed media achieved high validity (media aspect = 80.55%; material aspect = 78.27%), very high practicality (teacher response = 92.43%; student response = 95.83%), and strong effectiveness (N-gain = 0.8, high category). Student learning activity reached 84.28%, indicating very active engagement. The novelty of this study lies in the integration of real-time animated video production (Loomie Live) with interactive assessment features (Nearpod) within a PBL framework, enabling synchronous conceptual visualization and formative feedback in chemistry learning. The findings imply that technology-enhanced, problem-based interactive video can significantly improve conceptual understanding and learner engagement in abstract science topics. This model offers a scalable digital learning innovation adaptable to secondary chemistry education contexts.