JOURNAL INFORMATION AND TECHNOLOGY MANAGEMENT (JISTM)

GIS APPLICATIONS FOR HALAL LOGISTICS COMPLIANCE MONITORING: A CRITICAL REVIEW OF SPATIAL GOVERNANCE FRAMEWORKS

Asrul Zakaria — 2026-03-01

The rapid expansion of global halal markets has intensified the need for robust logistics systems to safeguard halal integrity across increasingly complex, spatially distributed supply chains. Within this context, Geographical Information Systems (GIS) have emerged as a promising digital enabler for compliance monitoring, traceability, and governance by embedding logistics operations within explicit spatial and temporal frameworks. However, despite growing scholarly interest, the application of GIS in halal logistics remains fragmented, technologically focused, and insufficiently integrated with broader halal governance and regulatory mechanisms. Existing halal logistics practices continue to rely heavily on periodic audits, document-based reporting, and siloed information systems, limiting real-time visibility and proactive risk management. The literature further reveals a lack of a coherent synthesis of how GIS capabilities, such as spatial traceability, geofencing, risk mapping, and decision-support, can be systematically aligned with halal compliance requirements across transportation, warehousing, and distribution stages. This fragmentation highlights a clear research gap at the intersection of geospatial technologies, halal standards, and supply chain governance. Accordingly, this review aims to critically synthesize and evaluate existing studies on GIS applications in halal logistics compliance and monitoring, with particular emphasis on transparency, traceability, and trust as core governance dimensions. By integrating insights from logistics management, geospatial science, and halal studies, the review consolidates dispersed conceptual discussions into a structured understanding of GIS as a spatial governance enabler rather than a standalone technical tool. The review contributes to the literature by clarifying conceptual linkages, identifying gaps in governance and implementation, and outlining future research directions for spatially enabled halal logistics systems. It concludes that GIS holds significant potential to support evidence-based, continuous, and location-aware compliance monitoring when embedded within coherent institutional and regulatory frameworks. This review is timely and important as halal supply chains undergo digital transformation, offering scholars and policymakers a consolidated foundation for advancing resilient, transparent, and trusted halal logistics governance.

DIGITAL COMMUNICATION COMPETENCE AND EMOTIONAL RESILIENCE: A SYSTEMATIC REVIEW OF SOCIAL MEDIA LITERACY INTERVENTIONS FOR PREADOLESCENTS

Nur Haffiza Rahaman — 2026-03-02

The rapid integration of social media into preadolescents’ daily lives has redefined patterns of communication, learning, and emotional development. While digital platforms offer opportunities for connection and creativity, they also present risks to mental health, including cyberbullying, anxiety, and social comparison. These challenges underscore the urgent need to understand how digital communication competence and emotional resilience can serve as protective mechanisms that enhance psychological well-being. This study systematically reviews existing scholarship on social media literacy interventions targeting preadolescents, applying the PRISMA 2020 protocol to ensure transparency and replicability. Two major databases Scopus and Web of Science were systematically searched, yielding a total of 31 primary studies published between 2015 and 2025 that met inclusion criteria. Data were extracted, coded, and thematically synthesized. The analysis produced three significant thematic clusters: (1) Digital Communication Competence and Literacy Development (2) Emotional and Psychological Resilience among Adolescents, and (3) Social Media Interventions and Behavioral Outcomes. The review reveals that integrated interventions combining media literacy, emotional intelligence, and participatory communication yield the impacts on adolescents’ digital well-being. However, regional gaps persist, particularly in culturally grounded studies within Southeast Asia. The paper concludes that future research should advance a context-sensitive communication framework that unites digital competence and emotional resilience as twin pillars for promoting safe, ethical, and psychologically adaptive social media engagement among preadolescents.

INTEGRATION OF ARTIFICIAL INTELLIGENCE (AI) IN SHAPING USER INTERFACE (UI) AND USER EXPERIENCE (UX) IN MOBILE PACKAGING DESIGN: iDPAC APPS

Nurulkusuma Adnan — 2026-03-02

Intelligence Digital Packaging (iDPAC) is a digital integration of artificial intelligence (AI) in mobile applications' user interface and user experience (UX) design modules. This approach addresses the lack of educational resources and samples in packaging design, leading to unrealistic designs. The study focuses on AI in UI and UX mobile app prototypes and packaging design processes to optimize its advantages in the creative design industry. The qualitative methodology involves observation and interviews with educators, learners, and industry experts to gather insights on potential improvements in AI integration in UI and UX mobile apps. The study uses Design Developmental Research (DDR) and Design Thinking (DT) frameworks to discover user needs, design prototypes, and test them with real users. The DDR-DT framework has effectively facilitated the development of mobile apps that meet user satisfaction in packaging design.

DEFECT ENHANCEMENT DETECTION METHOD IN COMPLEX BACKGROUNDS BASED ON MIXED ATTENTION

Cheng Changyin — 2026-03-01

This paper proposes a defect enhancement detection method based on Mixed attention, aiming to address the difficulty of feature extraction caused by complex background interference in metal surface defect detection. The core of this method is the design of a lightweight Mixed Attention Module (MAM). This module integrates channel attention and spatial attention mechanisms in parallel, working collaboratively at multiple levels: channel attention adaptively recalibrates channel feature responses by modeling the interdependencies between feature channels, emphasizing feature maps related to defects; spatial attention focuses on key spatial locations in the feature maps, generating spatial weight masks to highlight defect regions and suppress texture and noise interference from irrelevant backgrounds. Simultaneously, the module employs an efficient structural design, achieving effective capture and fusion of multi-scale contextual information without introducing significant computational overhead, thereby enhancing the discriminative representation of defect features in complex backgrounds. Experimental results demonstrate that this method achieves significant improvements in detection accuracy (mAP) on the NEU-DET and GDUT-DET public metal surface defect datasets.

AN ENHANCED DARK CHANNEL PRIOR WITH ITERATIVE TRANSMISSION UPDATE FOR SINGLE

You Qin — 2026-03-01

Hazy images suffer from visibility degradation and colour distortion due to light scattering and atmospheric attenuation, which complicates downstream vision tasks and human interpretation. The Dark Channel Prior (DCP) remains a simple yet effective physically grounded method for single image dehazing; however, it tends to underestimate transmission in bright or textureless regions (e.g., sky or specular surfaces), leading to halo artefacts and colour distortions. To address this, this paper introduces a physically interpretable corrective term from the DCP-derived transmission–radiance pair to compensate for local violations of the dark-channel assumption. The proposed method iteratively refines both the transmission map and scene radiance without requiring region segmentation. Experiments on the RESIDE and NH-HAZE datasets demonstrate that our method achieves superior PSNR, SSIM, and colour fidelity than four representative model-based dehazing algorithms, while maintaining competitive computational efficiency. Overall, the proposed iterative refinement substantially enhances the robustness and visual quality of traditional prior-based dehazing while avoiding the computational burden and data dependency of deep learning approaches.

EXPLORING THE INTERSECTION OF IMMERSIVE VR/AR TECHNOLOGIES AND CULTURAL IDENTITY IN CHINESE VARIETY SHOWS

Guo Zhiyao — 2026-03-02

This paper investigates the impact of VR/AR immersive variety shows on the creation of organizational cultural identity based on the cultural identity theory. In particular, it explores how the defining characteristics of immersive media, such as embodiment, interactivity, and cultural symbolism, support the identity-forming process.To determine the implications, this study integration approach will be based on the semi-structured interviews, with the participants being the producers, performers, and viewers; participant observation, analysis of program materials, and the analysis of discussions among audiences in social media platforms. Three exemplary cases are chosen to be analyzed VR headset-based formats, mobile AR formats, and live hybrid formats. The inherent design of the comparative will facilitate cross-case development and theory development.Initial therapies indicate that audiences will have a greater emotional connection with content that is rich in cultural elements. The embodied experiences are better at improving memorability of cultural symbols and the meaning-making processes depend on both the viewing context and the composition of the audience. The paper is designed to make its way into the media identity theory and provide practical implications to the content design and audience engagement approaches in the fast-changing XR environment.

SRIVIJAYAPEDIA: A DIGITAL PLATFORM FOR CULTURAL HERITAGE PRESERVATION OF THE SRIVIJAYA CIVILIZATION

Nazlena Mohamad Ali — 2026-03-01

This paper introduces Srivijayapedia, a digital platform developed to preserve and promote the cultural heritage of the Srivijaya civilization. Documenting historical environments is essential for enhancing public understanding of the past and reinforcing individual and national identities. Such knowledge fosters cultural unity, instills pride, and aids in sustainable heritage preservation. The key question posed is how a digital encyclopedia can enhance public engagement with heritage, enabling individuals to explore their identity and understand historical evolution. Although abundant historical information on Srivijaya exists, it remains scattered and underutilized in digital formats. Digital tools, such as virtual reconstructions and interactive platforms, offer accessible and immersive ways to preserve and disseminate cultural knowledge. Srivijayapedia is an interdisciplinary project rooted in Human-Computer Interaction (HCI), aiming to transform traditional historical documentation into an engaging digital experience. A thematic literature review guides the focus on three core areas: (1) the educational impact of digital heritage platforms, (2) the current state of Srivijaya's digital representation, and (3) the economic potential of digital heritage in promoting tourism. The platform embraces intercultural and community-based approaches to ensure inclusivity and sustainability. Ultimately, Srivijayapedia contributes to broader efforts aligned with the United Nations Sustainable Development Goals (SDGs), focusing on education, cultural sustainability, innovation, and economic development.