Publication: AI-assisted human resource management for recruitment
| creativework.keywords | artificial intelligence, HRM system, recruitment | |
| dc.contributor.advisor | Patacsil, Joseph A. | |
| dc.contributor.author | Sakr, Muhammad Hamdy Hassan | |
| dc.contributor.author | Hasan, Mohamed Malek Hasan Abdulwahab | |
| dc.contributor.chair | Novencido, Denver A. | |
| dc.contributor.committeemember | Pimentel, Emmalou B. | |
| dc.date.accessioned | 2026-03-13T05:16:31Z | |
| dc.date.available | 2026-03-13T05:16:31Z | |
| dc.date.issued | 2025-11 | |
| dc.description | Full text | |
| dc.description.abstract | This study developed an AI-Assisted Human Resource Management (HRM) System for Recruitment to automate and improve the hiring process at Don Mariano Marcos Memorial State University - Mid La Union Campus (DMMMSU-MLUC). The existing manual workflow caused delays, document misplacement, and limited transparency. Using a descriptive-developmental research design and the Scrum methodology, the system was designed, implemented, and iteratively improved based on HRM feedback. Key features include online application submission, document validation, AI-assisted screening with GPT-4o-mini, automated ranking, interview scheduling, and email notifications. Usability was evaluated through the System Usability Scale (SUS) with six HRM personnel. Results yielded an average SUS score of 62.5 (“Marginal"), indicating acceptable usability with areas for interface refinement. Findings show that integrating automation and AI improves efficiency, accuracy, and transparency in university recruitment workflows. | |
| dc.format.extent | x, 75 p. : ill. (col.). | |
| dc.identifier.citation | Sakr, M. H. H. & Hasan, M. M. H. A. (2025). AI-assisted human resource management for recruitment. [Unpublished Undergraduate Thesis]. Don Mariano Marcos Memorial State University - Mid La Union Campus, City of San Fernando, La Union. Lakasa ti Sirib, DMMMSU Institutional Repository. | |
| dc.identifier.uri | https://lakasa.dmmmsu.edu.ph/handle/123456789/1188 | |
| dc.language.iso | en | |
| dc.publisher | Don Mariano Marcos Memorial State University - Mid La Union Campus | |
| dc.rights.license | CC BY 4.0 | |
| dc.sdg | SDG 9 | |
| dc.sdg | SDG 8 | |
| dc.subject | SOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science | |
| dc.subject | SOCIAL SCIENCES::Statistics, computer and systems science::Informatics, computer and systems science::Information technology | |
| dc.subject | Artificial intelligence | |
| dc.subject | Personnel Management--Data Processing | |
| dc.subject | Employee Selection--Automation | |
| dc.subject | Human Capital--Management--Technological Innovations | |
| dc.subject.ddc | Recruitment and selection -- Computer applications | |
| dc.subject.ddc | Human resource management--Data processing | |
| dc.title | AI-assisted human resource management for recruitment | |
| dc.type | Thesis | |
| dcterms.accessRights | Open access | |
| dspace.entity.type | Publication | |
| thesis.degree.discipline | College of Information Technology | |
| thesis.degree.level | Undergraduate | |
| thesis.degree.name | Bachelor of Science in Information Technology |
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