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Pengembangan Media Diaroma Terhadap Hasil Belajar Siswa Pada Materi Siklus Air di SMP Negeri 4 Kota Bengkulu Sari, Meirita; Yunilarosi, Elvida sari; Laili, Ummiy Fauziyah; Yulita, Nourma
Indonesian Journal of Computer Science and Engineering Vol. 1 No. 02 (2024): IJCSE Volume 01, Nomor 02, November 2024
Publisher : CV. Cendekiawan Muda Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70656/ijcse.v1i02.116

Abstract

This study aims to explore the development of diorama media to improve student learning outcomes on the water cycle topic at SMP Negeri 4 Kota Bengkulu. The diorama media is used as an interactive and visual learning tool to enhance students' understanding of the water cycle concept. The research method applied is Research and Development (R&D). The study sample comprises two randomly selected classes, an experimental class using diorama media and a control class using conventional methods. Data collection instruments include a pre-test and post-test to assess learning outcomes before and after the intervention. Data were analyzed using a t-test to compare learning outcomes between the two groups. The analysis results showed that media expert validation I reached 90.57%, media expert II 93.7%, material expert I 92.5%, and material expert II 89.6%. Test results indicated a significant difference in learning outcomes between the experimental and control classes, with students who learned through diorama media showing higher learning gains compared to those who used conventional methods. Diorama media often captures students' attention due to its visually engaging presentation and ability to represent abstract concepts visually. Therefore, the use of diorama media can enhance the effectiveness of learning in the water cycle topic.
TEACHER'S EFFORTS IN HANDLING UNDERACHIEVER STUDENTS IN CLASS VII STUDENTS AT MTsN 1 KOTA KEDIRI Mubarok, Tohir Al; Laili, Ummiy Fauziyah; Umatin, Choiru
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 1, No 1 (2023): First International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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Abstract

This research aims to address a teacher's efforts in dealing with students who experience underachievers in class VII at MTsN 1 Kota Kediri. In this study, the qualitative approach was included in the case study research. Techniques for collecting data include; interviews, observation, and documentation. In the data analysis section, there are several steps: data reduction, data presentation, and then a conclusion is drawn by checking the validity of the data carried out by participation and triangulation. The research findings are: The teacher's efforts in dealing with underachiever students in class VII students at MTsN 1 Kota Kediri by identifying problems with underachiever students, the teacher conducts, approaches and directs the underachiever students, the teacher provides the correct pattern of thinking for underachiever students, provides effective learning style in underachiever students, instils a disciplined attitude. Regarding the factors supporting underachiever students in class VII students at MTsN 1 Kota Kediri, namely support from the homeroom teacher for class VII underachiever children, other teachers fully support handling underachiever students, and teachers use school facilities and infrastructure as optimally as possible. The inhibiting factors in dealing with underachiever students in class VII students at MTsN 1 Kota Kediri are the lack of openness to underachiever students and problems in communication with parents.
A Bibliometric Analysis of AI Plagiarism in Education Ilyasa, Deiya Gama; Setyono, Noer Fitria Putra; Laili, Ummiy Fauziyah; Ni’mah, Ainun; Prayogi, Ilyas Bintang; Nazy, Sles
Proceeding International Conference on Education Volume 03, Agustus Tahun 2025: International Conference on Education
Publisher : Faculty of Tarbiyah, Institut Agama Islam Negeri (IAIN) Kediri, Indonesia

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Abstract

This study aims to map the development of research on plagiarism related to the use of Artificial Intelligence (AI) in the field of education through a bibliometric approach. A total of 250 scientific articles with the keyword AI Plagiarism in education published between 2015 and 2025 were analyzed. Data extraction was conducted using Publish or Perish 8 software, sorting data by author keywords and abstract using Mendeley software, and bibliometric visualization using VOSviewer software. The findings reveal that plagiarism in educational contexts significantly affects academic integrity. The issue has become increasingly complex with the widespread use of generative AI platforms such as ChatGPT. The analysis also shows a strong correlation between plagiarism cases and academic integrity, ethics, and policy. Most of the studies in this field originate from Europe, North America, and certain parts of Asia, indicating a high level of academic concern regarding digital ethics. This research is expected to serve as a comprehensive mapping of research trends, collaboration networks, and emerging themes, providing valuable insights for the formulation of academic policies that are responsive to technological advancements.
A Bibliometric Analysis of Artificial Intelligence Plagiarism in Education Deiya Gama Ilyasa; Setyono, Noer Fitria Putra; Laili, Ummiy Fauziyah; Ni'mah, Ainun; Prayogi, Ilyas Bintang; Nazy, Sles
Allimna: Jurnal Pendidikan Profesi Guru Vol. 4 No. 02 (2025): Allimna Vol. 04 No. 02
Publisher : LPTK UIN Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/allimna.v4i02.6796

Abstract

This study aims to map the development of research on plagiarism related to the use of Artificial Intelligence (AI) in education using a bibliometric approach. A total of 250 scientific articles with the keyword AI Plagiarism in education published between 2015 and 2025 were analyzed. Data extraction was conducted using Publish or Perish 8 software, sorting data by author keywords and abstract using Mendeley software, and bibliometric visualization using VOSviewer software. The findings reveal that plagiarism in educational contexts significantly affects academic integrity. The issue has become increasingly complex with the widespread use of generative AI platforms such as ChatGPT. The analysis also shows a strong correlation between plagiarism cases and academic integrity, ethics, and policy. Most studies in this field originate in Europe, North America, and certain parts of Asia, indicating a high level of academic concern about digital ethics. This research is expected to provide a comprehensive mapping of research trends, collaboration networks, and emerging themes, offering valuable insights for the formulation of academic policies responsive to technological advancements.