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Journal of Artificial Intelligence and Digital Economy
Published by PT. Antis International Publisher
ISSN : -     EISSN : 30321077     DOI : https://doi.org/10.61796/jaide
Core Subject :
Journal of Artificial Intelligence and Digital Economy is part of the Discover journal series committed to providing a streamlined submission process, rapid review and publication, and a high level of author service at every stage. It is an open-access, community-focused journal publishing research covering all aspects of artificial intelligence in theory and application.
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Articles 203 Documents
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CONSTRUCTING MEANING IN LOCAL PRODUCT CONSUMPTION THROUGH TIKTOK AFFILIATE CONTENT: A ROLAND BARTHES SEMIOTIC ANALYSIS IN THE SOCIAL COMMERCE ECOSYSTEM Nurul Hidayatiningsih; Mahesa Maulana
Journal of Artificial Intelligence and Digital Economy Vol. 3 No. 8 (2026): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v3i8.1899

Abstract

Objective: This study aims to analyze the construction of meaning in local product consumption within TikTok Affiliate content and to identify how visual and verbal signs shape the meaning of consumption in the social commerce ecosystem. Method: This study employs a qualitative approach using Roland Barthes’ semiotic analysis through three levels of signification: denotation, connotation, and myth. The data consist of 15 TikTok Affiliate contents promoting local products across the categories of beauty and personal care, fashion, food and beverage, household, and lifestyle. The data were analyzed by identifying visual and verbal signs and their contextual use, followed by cross-case comparison to identify patterns in the construction of consumption meanings. Results: The findings indicate that local products are represented not only in terms of their material functions but also constructed as part of self-care, identity, functional value, consumption experiences, and lifestyle. At the level of myth, the relationship between personal needs and consumption is naturalized, making purchasing appear as a reasonable and relevant choice in consumers’ everyday lives. Novelty: This study demonstrates that TikTok Affiliate functions not merely as a promotional and transactional channel but also as a space for the production of consumption meanings, where the functional value of local products is transformed into symbolic meanings through representation, experience, demonstration, and persuasive narratives. These findings extend social commerce scholarship by positioning the construction of meaning as an important dimension of consumption persuasion.
DATA-DRIVEN SPATIAL MAPPING FOR DIGITAL ECONOMY-ORIENTED SMART VILLAGE GOVERNANCE AND LOCAL ECONOMIC DEVELOPMENT: EVIDENCE FROM MARTOPURO Adinda Ridya Rahman; Lailatul Maghfiroh; Muhammad Fatkhul Ikhsan; Nur Efendi
Journal of Artificial Intelligence and Digital Economy Vol. 3 No. 8 (2026): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v3i8.1908

Abstract

Objective: This study aims to develop a spatial information base for Martopuro Village, Purwosari District, Pasuruan Regency, and to examine how GIS-based digital spatial data can support smart village governance and data-driven local economic decision-making. Method: A descriptive qualitative approach was combined with simple descriptive quantification. Data were obtained through coordination with village officials, field observation, facility coordinate recording using Google Maps, photographic documentation, and spatial data processing. Facility points were integrated with thematic layers and interpreted in relation to economic accessibility, local-business potential, production-distribution connectivity, resource planning, and development priorities. Results: The mapping produced 20 georeferenced facility points and six supporting thematic layers comprising administrative boundaries, roads, rivers, settlements, agricultural land, and shrubs. The mapped points consist of governance facilities (35%), health facilities (30%), education facilities (25%), religious/social facilities (5%), and a tourism asset (5%). The integration of D’Embung, agricultural land, road networks, settlements, and other spatial layers provides an information base for tourism accessibility analysis, potential local-business locations, land-use prioritization, production-distribution connectivity, resource planning, and evidence-based economic decisions. Novelty: The study repositions village mapping from a static cartographic product into a digital spatial data infrastructure for local economic decision support. Rather than claiming direct economic impacts, it demonstrates a data-value chain in which local observations are converted into georeferenced data that can be updated, integrated, analyzed, and expanded for subsequent village economic development planning.
ADAPTIVE AI-DRIVEN SERVICE-PRESERVING CYBER CONTAINMENT FOR RESILIENT CRITICAL INFRASTRUCTURE Shakila Akter; Md Riyad Uddin; Md. Golam Mostafa; Sajidul Haque Chowdhury
Journal of Artificial Intelligence and Digital Economy Vol. 2 No. 2 (2025): Journal of Artificial Intelligence and Digital Economy
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/jaide.v2i2.1917

Abstract

Objective: Cyber containment in critical infrastructure is a dual-risk decision: insufficient isolation permits lateral movement, while excessive isolation can interrupt electricity, water, healthcare, transportation, and communications. This study introduces Adaptive Service-Preserving Containment (ASPC), which estimates compromise uncertainty, forecasts attack spread, models critical-service dependencies, predicts operational consequences, and repeatedly selects the smallest boundary satisfying safety and residual-risk constraints. Method: Unlike a purely conceptual treatment, ASPC was implemented in a stochastic graph-based test environment and evaluated against full isolation, rule-based containment, and a cyber-centric AI baseline. Results: Across 450 paired trials on seen topology families and 300 on held-out topologies, ASPC achieved attack spread statistically indistinguishable from full isolation while sharply reducing unnecessary isolation and safety violations. On unseen topologies, ASPC averaged 1.49 additional compromised nodes, 3.91% unnecessary isolation, 1.27 containment epochs, 5.76 recovery epochs, 0.51 safety violations, and 92.30% critical-service availability. Its availability exceeded the other methods by 14.49–74.75 percentage points. Ablations showed that continuous reassessment was necessary to contain delayed footholds and that the service-dependency model prevented coarse over-isolation. Novelty: Results support ASPC as a testbed-validated resilience controller, while remaining subject to the limitations of synthetic topology, simplified physical dynamics, and simulated telemetry.

Page 21 of 21 | Total Record : 203

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