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All Journal JDM (Jurnal Dinamika Manajemen) Journal of Economic, Bussines and Accounting (COSTING) At-Tadbir : jurnal ilmiah manajemen Jurnal Pengabdian Al-Ikhlas Al Kalam : Jurnal Komunikasi, Bisnis dan Manajemen jurnal ilmiah hospitality Enrichment : Journal of Management Jurnal Inovasi Penelitian International Journal of Economics, Management, Business, and Social Science International Journal of Applied Finance and Business Studies CEBONG Journal Madani: Multidisciplinary Scientific Journal Nanggroe: Journal Of Scholarly Service Jurnal Manajemen Riset Inovasi Jurnal Kabar Masyarakat Jurnal Manuhara: Pusat Penelitian Ilmu Manajemen Dan Bisnis Applied Business and Administration Journal (ABAJ) Nanggroe: Journal of Scholarly Service Socius: Social Sciences Research Journal Jurnal Pengabdian Sosial Inovasi Sosial: Jurnal Pengabdian Masyarakat Harmony Management: International Journal of Management Science and Business Jurnal Pengabdian Indonesia
Abdurrahim
Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin
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Journal : CEBONG Journal

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Artificial Intelligence: Optimizing The Recruitment Process Abdurrahim, Abdurrahim
Cebong Journal Vol. 4 No. 1 (2024): Nov: Green dan Blue Economy
Publisher : IHSA Institute

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Abstract

This study aims to explore the role and potential of artificial intelligence (AI) in the recruitment process in an increasingly complex digital era. Using the Narrative Literature Review method, this research summarizes and analyzes various relevant literature sources related to the use of AI in recruitment. The findings indicate that AI enhances efficiency and effectiveness in candidate search and selection, with the ability to analyze data quickly and accurately. Additionally, AI contributes to reducing bias in decision-making, creating a more objective and transparent process. However, challenges such as potential algorithmic bias and privacy issues still need to be addressed. With proper implementation, AI not only helps organizations find suitable candidates but also promotes a fairer and more inclusive recruitment process. This study provides valuable insights for HR practitioners and stakeholders in adopting AI technology in recruitment.
Co-Authors Abdul Kadir Aditya, Muhammad Fajar Agnia Aslam Aida Vitria Aida Vitria Aida Vitria Aida Vitria Amalia Wahyuni Amalia Wahyuni Ana Sofia Herawati Apriya Santi, Apriya ARIEF BUDI PRATOMO Arifa, Tutus Rani Azahraty Azahraty Basmahu Syifa Arreishi Basuki Bulkia, Sri Damaisari, Rika Defin Shahrial Putra Defin Shahrial Putra Defin Shahrial Putra Desy Fitriani Dhiana Ekowati Ekha Putri Lesmana Fanlia Adiprimadana Sanjaya Farida Yulianti Farida Yulianti Farida Yulianti Farida Yulianti Fatrah, Siti Firdaus Firdaus Firdaus Firdaus Firdaus, H. Fitriani, Desy GA, Gt Meinar Gusti Meinar Girda Ariani H, Ana Sofia H, Husnurrofiq Hendy Tannady Husnurrofiq Husnurrofiq Intan Nurjannah Isma Susanti J, Jumiati Jumiati Jumiati Junaidi Junaidi Kumala, Sari Kumara Efrianti Kurniaty kurniaty Lusiana, Herlina Mahfuz Afif Maulana Mahmudin Mahmudin Meilani Rizki Saputri MS, Abdul Kadir Mursanto Mursanto Mursanto, Mursanto Muthia Harnida Nida’an Hafia Noor Syifa Hayati Noorlaily Maulida Nora Idiawati Prihatini Ade Mayvita Purboyo Purboyo Purboyo, Purboyo Putera , Roja Putrie Zahra Aprillia Rahmi Widyanti Rasisca Tita Marvelia Siti Zainab Siti Zainab, Siti Susila Dewi Syahrani Syahrani Syahrani SYAHRANI SYAHRANI Teguh Wicaksono Vitria, Aida Vitria, Aida . Wahyuni, Amalia Zakky Zamrudi Zamilah, Ervica Zulfikar, Rizka