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All Journal Prosperia: Journal of Economic Development, Accounting, and Global Markets Technema: Journal of Intelligent Engineering and Computing
Mohammad Fauzan Nawawi
Universitas Raharja

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The Use of Digital Data and Artificial Intelligence in Recruitment: An Analysis of Business Candidates’ Perceptions of Organizational Attractiveness Haryanto Haryanto; Najmuddin Najmuddin; Mohammad Fauzan Nawawi; Andri Cahyo Purnomo; Memed Saputra
Prosperia: Journal of Economic Development, Accounting, and Global Markets Vol. 1 No. 3 (2026): : August: Prosperia: Journal of Economic Development, Accounting, and Global Ma
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65310/0b6erk57

Abstract

This study examines the causal relationships between artificial intelligence implementation, digital data sourcing practices, and candidates' perceptions of organizational attractiveness within the contemporary talent acquisition landscape. Adopting a rigorous empirical research design, a scenario based vignette survey experiment was conducted with a sample of 413 final year undergraduate university students in major Indonesian metropolitan areas. The econometric analyses, executed using paired Student's t-tests, reveal that increasing automation levels enhances corporate innovation signals but severely reduces perceived social environment viability and applicant intentions to apply. Furthermore, the utilization of personal online digital data significantly damages procedural fairness evaluations compared to professional tracking frameworks. Individual technology trust serves as a critical moderating variable, determining the magnitude of intention shifts among prospective business and engineering applicants. These findings suggest that organizations must strategically balance automated processing efficiency with candidate privacy boundaries to protect employer brand value. Navigating this sociotechnical dynamic allows recruiting organizations to leverage predictive talent analytics while maintaining high organizational attractiveness for top tier talent.    
Design of A Web-Based Marketing Data Information System to Improve Product Marketing Efficiency at CV San Amerta Romoro Anur Rahmah Tiawulandari; Ahmad Holidin; Haryanto Haryanto; Andri Cahyo Purnomo; Mohammad Fauzan Nawawi
Technema: Journal of Intelligent Engineering and Computing Vol. 1 No. 2 (2026): : June: Technema: Journal of Intelligent Engineering and Computing
Publisher : CV SCRIPTA INTELEKTUAL MANDIRI

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Abstract

Effective marketing activities require centralized, structured, accurate, and accessible information. CV San Amerta Romora previously managed government institution data, vendor information, product data, Inaproc links, company profiles, and brochures through separate files and storage media, creating difficulties in data retrieval, updating, and information consistency. This study aimed to design a web-based marketing data information system to improve the efficiency of internal marketing information management. Data were collected through observation, interviews, and literature review, while the existing system was analyzed using the PIECES framework. System requirements were modeled using Unified Modeling Language, including Use Case, Activity, Sequence, and Class Diagrams. The system was implemented using Laravel, Filament, and Fortify, with role-based access for Admin and User/Sales. The proposed system integrates marketing data, document management, requests, and notifications within a centralized portal. Black Box Testing was conducted on authentication, data access, data management, request processing, notifications, and access control functions. The testing involved 19 functional scenarios, and all scenarios produced results consistent with the expected outputs. The system provides a structured platform for improving marketing data accessibility, retrieval efficiency, data control, and internal information management at CV San Amerta Romora.  
Co-Authors Ahmad Holidin Andri Cahyo Purnomo Anur Rahmah Tiawulandari Haryanto Haryanto Memed Saputra Najmuddin Najmuddin