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Adi Permana Sidik
Universitas Sangga Buana YPKP
Humanities Environmental Science Languange, Linguistic, Communication & Media Social Sciences

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A CONCEPTUAL FRAMEWORK FOR AI SELF-HEALING FOR BIAS MITIGATION: A PROACTIVE ARCHITECTURAL PROPOSAL Harianja Harianja; Elgamar Syam; Alawiyah Abd Wahab; Huda Ibrahim; Hapini Awang; Nur Suhaili Mansor; Adi Permana Sidik
TOPLAMA Vol. 3 No. 2 (2026): TOPLAMA
Publisher : PT Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/tla.v3i2.509

Abstract

As the adoption of Artificial Intelligence (AI) continues to expand across various sectors, the issue of bias in training data has emerged as a significant ethical and technical challenge. AI systems are commonly trained using large-scale datasets collected from digital environments such as the internet, social media, and public databases. These datasets often contain historical inequalities, stereotypes, and unbalanced representations of certain demographic groups. Consequently, AI models may unintentionally replicate and amplify these biases in their predictions or decisions. This situation becomes particularly concerning when AI is used in high-stakes domains such as recruitment, healthcare, financial services, and public policy. Most existing bias mitigation strategies rely on reactive approaches, such as adjusting model outputs or modifying datasets after bias has already been identified. While these methods can reduce certain forms of discrimination, they often require significant manual intervention and may not effectively address bias in dynamic data environments. This research proposes a conceptual framework for an AI self-healing system designed to autonomously detect and correct bias in training data before it influences model outcomes. The proposed framework integrates four key modules: Data Monitoring, Bias Analysis, Automated Bias Correction, and a Feedback Loop and Validation mechanism. Together, these components create a continuous workflow that allows the system to identify bias patterns, apply corrective strategies, and verify fairness before data is used for model training. This framework offers a proactive and sustainable approach to bias mitigation while supporting the development of more ethical, robust, and accountable AI systems.
PROPHETIC COMMUNICATION IN DIGITAL DA’WAH: A CASE STUDY OF USTAZ HANDY BONNY’S INSTAGRAM CONTENT Kania Nur Hanifah Hasna; Adi Permana Sidik; Erwan Komara; Karla Safa Attallah
TOPLAMA Vol. 3 No. 2 (2026): TOPLAMA
Publisher : PT Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/tla.v3i2.511

Abstract

This study aims to analyze the prophetic communication approach applied in Ustaz Handy Bonny’s da’wah content on Instagram, which has attracted significant attention among young Muslim audiences. The research addresses three main questions: why prophetic communication is essential in the context of digital da’wah, how the six qaulan principles (qaulan sadiidan, qaulan balighan, qaulan maysuuran, qaulan layyinan, qaulan kariiman, and qaulan ma’ruufan) are implemented, and what forms and content of da’wah reflect these values. Using a qualitative method with a case study approach, the research employed in-depth interviews with Ustaz Handy Bonny, his media team, followers, and experts, along with observation of his Instagram content. Data analysis followed Miles and Huberman’s interactive model (reduction, display, conclusion) and triangulation for credibility. The findings show that Ustaz Handy Bonny’s da’wah reflects prophetic communication by combining clarity, emotional appeal, and ethical language, while addressing contemporary youth issues such as relationships, mental health, and spiritual awareness. However, critiques arise regarding the use of slang language, questions of credibility as a ‘hijrah ustaz’, and challenges in maintaining prophetic standards in a commercialized digital space. This study contributes to the development of Islamic communication by showing that prophetic communication provides an ethical and transformative framework for digital da’wah, balancing between popularity and spiritual depth.
MOBILE SECURITY PRACTICES AMONG MALAYSIAN CITIZENS: A SURVEY OF RISK AWARENESS AND PROTECTIVE BEHAVIORS QIN QIN; Nur Suhaili Mansor; Hapini Awang; Huda Ibrahim; Adi Permana Sidik
TOPLAMA Vol. 3 No. 2 (2026): TOPLAMA
Publisher : PT Altin Riset Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61397/tla.v3i2.512

Abstract

Mobile phones have become an important part of Malaysian youth's daily lives, and as easy as it is to get our hands on a mobile, the growing issues that follow raise alarms for cybersecurity. WordPress site. Although there has been a recent influx of online scam and privacy breach reports, little still exists on how ordinary users perceive mobile security, or if their behaviors are consistent with good risk mitigation practices. This study aims to examine the relationships that exist among mobile security confidence, user practices, and incident experiences with the gender of Malaysian youth. Using an eight-sectioned structured survey as an evaluation instrument, key findings are mainly gleaned from users who report medium levels of confidence in their mobile malware knowledge and overall adoption of protective behaviors such as keeping software updated, only using trusted sources to download apps, and using biometrics. A total of 38.1% of respondents, meanwhile, admitted to previous security incidents largely borne out of the presence of outdated systems and a lack of oversight elements in place for vetting third-party applications. in a rapidly digitizing society. Yet without habitual practice and supportive system design, awareness alone may not be enough.
Co-Authors Alawiyah Abd Wahab Elgamar Syam Erwan Komara Hapini Awang Harianja Harianja Huda Ibrahim Kania Nur Hanifah Hasna Karla Safa Attallah Nur Suhaili Mansor QIN QIN