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Manajemen Penggunaan AI dalam Rekrutmen dan Karier: Studi Kasus Perusahaan Bahdin Nur Tanjung; Jumadiah Wardati; Gita Nainggolan
Jurnal Pariwisata Tawangmangu Vol 3 No 3 (2025): Desember 2025
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/juparita.v3i3.998

Abstract

This study, titled AI Use Management in Recruitment and Career: A Case Study of a Company, aims to analyze how artificial intelligence (AI) is implemented and managed in recruitment, performance appraisal, and career management, along with examining its effects on employees and the ethical challenges that arise. Using a qualitative case study approach in a company that has adopted AI systems, the research collected data through in-depth interviews, document studies, field observations, and quantitative data analysis (e.g., screening time, conversion rate, and employee satisfaction). The findings indicate that AI improves recruitment efficiency by automating candidate screening and interview scheduling, and it enables more objective performance evaluations based on real-time data analysis. Furthermore, AI supports career development and internal mobility through data-driven recommendations aligned with employees’ performance and preferences. Nevertheless, the study also highlights risks of algorithmic bias and limited transparency (“black box”), implying the need for regular audits, human oversight, and clear internal policies to ensure that AI is used fairly, responsibly, and ethically.
PENGUATAN RANTAI PASOK UMKM MELALUI MANAJEMEN PERSEDIAAN DAN DISTRIBUSI YANG EFISIEN Bahdin Nur Tanjung; Jumadiah Wardati; Gita Nainggolan
Jurnal Industri Kreatif dan Inovatif Vol. 3 No. 2 (2025): Pengembangan Komunikasi Visual dan Komunikasi Digital
Publisher : Institut Teknologi dan Bisnis Kristen Bukit Pengharapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61696/visisakti.v3i2.1025

Abstract

This Community Service Program (PKM) activity aims to strengthen the MSME supply chain through the implementation of efficient inventory and distribution management. The main problems faced by partners include inaccurate stock, frequent stockouts/overstocks, the absence of a reorder point, untidy inventory recording, and unmeasured distribution costs. The program is implemented through supply chain process assessments, training and workshops on inventory recording, establishing stock policies (minimum-maximum/ROP), improving simple warehouse layouts and flows, distribution planning (routes, schedules, delivery consolidation), and assistance in implementing tools (stock cards/Excel/Google Sheet). The outputs include inventory and distribution SOPs, recording templates, indicator dashboards, and implementation trials on participating MSMEs. The targeted results are increased stock accuracy, reduced stockouts, and distribution cost efficiency.