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All Journal Fitrah: Jurnal Studi Pendidikan Ahlussunnah: Journal of Islamic Education
Huda, Zainur
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Religion Education Environmental Science Other

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Holistic Islamic Education Curriculum Towards Society 5.0 Adona, Putri; Huda, Zainur; Yani, Fitri; Aprison, Wedra
Fitrah Vol 16 No 2 (2025): December
Publisher : Prodi PAI STIT Sunan Giri Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47625/fitrah.v16i2.1175

Abstract

This study aims to (1) analyse the gap between the traditional PAI curriculum and the demands of Society 5.0, (2) identify the main challenges in implementing PAI digitalisation in schools, and (3) construct a Holistic PAI Curriculum Model (PAI-H) as a new theoretical framework that ensures the relevance of PAI in the digital age. This study adopts a Systematic Literature Review (SLR) approach involving qualitative content analysis of reputable international and national literature focusing on PAI curriculum reform, Society 5.0, teacher competencies, and digital ethics to produce credible data synthesis. The findings indicate that technology integration is often superficial, functioning only as a tool for delivering material, and that there is an urgent need to improve the competence of PAI teachers as Spiritual Mentors and shift the focus of the curriculum to be transdisciplinary. The PAI-H model is proposed as a solution that integrates technology, 4C skills, and digital ethics in utilising digital technology within a coherent framework, ensuring that PAI functions as a bastion of moderation. The presented PAI-H model offers strategic policy guidance for curriculum developers and educational institutions to produce graduates who are not only intellectually and digitally superior but also possess moral integrity and play an active role in positive social transformation.
Data Collection Methods in the Big Data Era: A Systematic Literature Review on Technical and Ethical Challenges Adona, Putri; Huda, Zainur; Sesmiarni, Zulfani
Ahlussunnah: Journal of Islamic Education Vol. 4 No. 3 (2025): December
Publisher : STIT Ahlussunnah Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58485/jie.v4i3.398

Abstract

The Big Data era, characterized by the massive Volume, Velocity, and Variety of information, has revolutionized decision-making processes across various sectors. However, this paradigm shift has created significant methodological gaps, particularly related to population bias and the absence of standardized frameworks for validating non-probabilistic data representations. This study aims to bridge these gaps through a Systematic Literature Review, employing academic documentation and theoretical triangulation to synthesize both the challenges and solutions in the data acquisition phase. The findings identify three dominant data collection methods Web Scraping, Application Programming Interface, and the Internet of Things (IoT) as direct responses to the 3V characteristics of Big Data. Crucial insights reveal a persistent tension between the massive data volume and its validity, further complicated by technical risks (such as application programming interface rate limiting) and legal or ethical concerns (including compliance with Terms of Service and data privacy regulations). Research implementation in this era must therefore adopt a strategic framework, emphasizing essential practices such as personal identifiable information de-identification to ensure privacy rights and the application of Exponential Backoff techniques to overcome application programming interface quota limitations. This review presents a comprehensive synthesis of the pre-analysis phase of Big Data research, underscoring that the integrity and reliability of scientific findings in this era depend heavily on the adoption of rigorous methodological and ethical frameworks.
Co-Authors Fitri Yani Putri Adona Wedra Aprison Zulfani Sesmiarni