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Upaya Guru Mata Pelajaran Agama dalam Meminimalisir Prokrastinasi Akademik Siswa Madrasah Tsanawiyah Al Muttaqin Kota Pekanbaru Nuraini; Gusma Afriani
Milenial: Journal for Teachers and Learning Vol. 4 No. 1 (2023): Milenial
Publisher : Lembaga Anotero Scientific Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55748/mjtl.v4i1.207

Abstract

This research aimed at finding out how the efforts of religious subject teachers in minimizing student academic procrastination at Islamic Junior High School of Al-Muttaqin Pekanbaru City were. It was a qualitative research. Observation, interview, and documentation were the techniques of collecting data. The data analysis technique was done through the steps of data reduction, data display, and drawing conclusions. The data validity was tested through data triangulation technique-comparing data from various sources to obtain the validity of the research findings. The research findings showed that some efforts carried out by the religious subject teachers in minimizing the behavior of academic procrastination were giving punishment, using various learning methods, giving motivation before and after the teaching and learning process, cooperating and communicating among religious subject teachers. The supporting factors were the support from the school and the cooperation among religious subject teachers and homeroom teachers in minimizing student procrastination behavior. The obstructing factors were the lack of student motivation and participation interest in learning, the lack of social support from the family, and the influence of peers.
Ethical Considerations in the Development and Application of Artificial Intelligence for Social and Economic Progress Loso Judijanto; Jackson Yumame; Tanwir Tanwir; Gusma Afriani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
Publisher : Edujavare Publishing

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Abstract

This study investigates the ethical considerations surrounding the development and application of artificial intelligence (AI) for social and economic progress. This research aims to analyze the impact of AI on fairness, transparency, accountability, privacy, and social outcomes. The research method uses a systematic literature review (SLR) to collect and synthesize relevant findings from previous research and theoretical frameworks. The data is collected, and the data analysis technique used in the SLR method is to carry out stages such as study selection, evaluation of study quality, extraction of relevant data, and synthesis of findings from the selected studies. This research results in the importance of mitigating bias, increasing transparency and accountability, protecting privacy and data, and evaluating the social impact of AI. In conclusion, this research underscores the critical need for ethical frameworks and regulations to guide AI's responsible development and deployment to drive equitable and beneficial social and economic progress.