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All Journal Pedagogi : Jurnal Penelitian Pendidikan Jurnal Cakrawala Pendas Journal of Primary Education
Dalia Susilawati
Universitas Pendidikan Indonesia
Education Languange, Linguistic, Communication & Media Mathematics Other

Published : 3 Documents Claim Missing Document
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PEMANFAATAN WEBSITE PROPROFS BRAIN GAMES UNTUK MENGUKUR PEMAHAMAN SISWA DALAM PEMBELAJARAN PAI KELAS V SD Nurjanah Nurjanah; Anisa Nur Paridah; Dalia Susilawati; Ani Nur Aeni
Pedagogi Vol 9, No 1 (2022)
Publisher : UNIKU PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/pedagogi.v9i1.5758

Abstract

ProProfs Brain Games sebagai media alat ukur pemahaman pada materi yang telah dipelajari. Selain itu,  ProProfs Brain Games juga dapat memberikan kesan yang berbeda bagi siswa pada saat mengerjakan soal karena yang disuguhkan bukan hanya soal berbentuk teks tetapi bisa dalam bentuk games yang menarik dan tidak membosankan. Model penelitian yang kami gunakan yaitu model Design and Development (DD) atau dalam bahasa Indonesia dikenal dengan desain dan pengembangan. Pada model Design and Development (DD) ini kami mendesain, mengembangkan serta mengevaluasi produk yang akan dikembangkan sebagai dasar peninjauan pengembangan produk. Hasil penelitian dan uji coba produk terhadap siswa kelas V SDIT Insan Teladan dan guru mata pelajaran PAI, media tersebut dianggap layak untuk digunakan dalam mengukur pemahaman siswa dalam pembelajaran PAI di kelas V SD. Hal tersebut dapat dibuktikan dengan adanya persentase penilaian akhir yaitu siswa 81,5%, dan guru PAI 82%. Yang artinya website ProProfs Brain Games sangat baik dan layak untuk digunakan.
Analysis Of Lesson Planning in Developing Teaching Modules in Primary Schools Enjang Yusup Ali; Dalia Susilawati
Journal of Primary Education Vol. 13 No. 1 (2024): June 2024
Publisher : Universitas Negeri Semarang

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Abstract

This research is motivated by learning planning using teaching modules carried out by teachers in implementing the independent curriculum in elementary schools. The purpose of this study is to explain the planning that has been implemented by elementary school teachers in Sumedang Regency. This research uses qualitative research with data collection techniques using questionnaires given to grade 1,2 and grade 4,5 teachers. The data analysis technique uses the Miles and Huberman model which consists of three stages, namely data reduction, data display and conclusion drawing. The results showed that teachers have planned lessons using teaching modules that are tailored to the components but there are some teachers who experience difficulties when preparing teaching modules. Thus, additional support and training is needed for teachers to improve their skills and provide a better learning experience for students.
UTILIZATION OF ARTIFICIAL INTELLIGENCE (AI) TO DETECT ELEMENTS OF BULLYING IN THE SCHOOL AND CAMPUS ENVIRONMENT Yudha Munajat Saputra; Enjang Yusup Ali; Dalia Susilawati
Jurnal Cakrawala Pendas Vol. 11 No. 1 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jcp.v11i1.11810

Abstract

Bullying is an unpleasant behavior that makes someone feel uncomfortable, hurt, and emotionally and psychologically distressed. One form of bullying that often goes undetected is verbal bullying, which is not directly visible but has a profound impact on the victim. This research aims to prevent verbal bullying by utilizing AI technology in campus and school environments. This research uses a qualitative method with a case study approach, which focuses on in-depth exploration of specific contexts and phenomena, allowing researchers to understand in detail how AI can detect verbal bullying. AI will be used to analyze conversations in the context of classes and other social interactions, with the ability to recognize language patterns containing elements of sarcasm, insults, or bullying behavior that are difficult for humans to see. While the technology is promising, a key challenge is the AI's ability to understand the nuances of human behavior, such as sarcasm or different cultural contexts, which can affect detection accuracy. In addition, the use of AI in these sensitive environments raises ethical issues related to privacy, which need to be carefully addressed. The data collection technique was conducted with a questionnaire given to 572 respondents consisting of students, teachers, lecturers, and education personnel in Sumedang Regency. The data analysis technique used the Miles and Huberman model, which includes three stages: data reduction, data presentation, and conclusion drawing. The results of the analysis show that the utilization of AI to detect verbal bullying in school and campus environments is very potential, but human supervision is still needed to verify the results of AI detection.
Co-Authors Ali, Enjang Yusup Ani Nur Aeni, Ani Nur Anisa Nur Paridah Nurjanah, Nurjanah Saputra, Yudha Munajat