Publication Search

72,210 articles from 652 journals · 2,111 citations tracked

Showing 1-5 of 5

Analytics

Cahyatih Kumandang; Ruslaini Ruslaini; Seger Santoso; Muhammad Rizal

The International Conference on Education, Social Sciences and Technology 2022 International Forum of Researchers and Lecturers

In the rapidly evolving landscape of artificial intelligence (AI), optimizing human resources (HR) practices is imperative to foster organizational excellence. This qualitative research aims to explore the intersection of AI and HR practices to enhance organizational performance. The research adopts a qualitative approach utilizing in-depth interviews with HR professionals, AI specialists, and organizational leaders. Sampling techniques include purposive and snowball sampling to ensure diverse perspectives are captured. Data analysis involves thematic analysis, allowing for the identification of patterns and themes within the qualitative data. Preliminary findings indicate that organizations are increasingly leveraging AI to streamline HR processes, enhance talent acquisition, and improve employee engagement. Furthermore, the research reveals the significance of ethical considerations and human oversight in AI-driven HR practices. This study contributes to the growing discourse on AI integration in HR and provides insights for organizations aiming to navigate the AI-driven landscape while fostering excellence in HR practices.  

Ruslaini Ruslaini; Dadang Irawan; Farah Qalbia; Seger Santoso

The International Conference on Education, Social Sciences and Technology 2022 International Forum of Researchers and Lecturers

This research aims to explore strategies for maximizing human capital in the context of advancing artificial intelligence (AI) technologies within the workforce. The study employs a phenomenological approach to understand individuals' experiences and perceptions regarding AI integration in the workplace. Through purposive sampling, data were gathered from a diverse pool of professionals across industries. Semi-structured interviews were conducted to delve into participants' perspectives on the impact of AI on job roles, skill requirements, and organizational dynamics. Thematic analysis was employed to identify recurring patterns and emergent themes within the qualitative data. Preliminary findings suggest a nuanced interplay between AI technologies and human capabilities, highlighting the need for upskilling, retraining, and fostering adaptability among employees. The study contributes to the discourse on optimizing human resources amidst rapid technological advancements, offering insights for organizational strategies to harness the synergy between human expertise and AI innovations in the future workforce.      

Ekawahyu Kasih; Farah Qalbia; Novrizal Novrizal

The International Conference on Education, Social Sciences and Technology 2022 International Forum of Researchers and Lecturers

In the dynamic landscape of Human Resource Management (HRM), the emergence of Artificial Intelligence (AI) technologies presents both challenges and opportunities. This research aims to explore strategies for empowering talent amidst AI innovations in HRM. The research adopts a phenomenological approach to delve into the lived experiences of HR professionals and employees within organizations integrating AI technologies. Through purposive sampling, data were collected via in-depth interviews and focus group discussions. Thematic analysis was employed to identify patterns, themes, and insights from the narratives. The findings reveal a nuanced understanding of how AI impacts talent management practices, including recruitment, training, performance evaluation, and career development. Moreover, the research elucidates the importance of human-centric approaches in leveraging AI to augment rather than replace human capabilities. These insights contribute to enhancing organizational strategies for talent empowerment in the era of AI-driven HRM innovations.

AR, Khairan; Musfikar, Rahmat; Ilham, Robbi Amanda; Yusuf, Bustami

JURNAL ILMIAH KOMPUTER GRAFIS 2022 UNIVERSITAS STEKOM

A mental illness is a syndrome, psychological, or behavioral disorder in which a person is dysfunctional at work. The problem is that medical personnel or doctors who are professionals in the field of psychology are not comparable to mental illness, especially teenagers. The initial diagnosis by web based and using the Extreme Programming (XP) method. Meanwhile, the main objective of the research is to determine the quality of the web system based on the perceptions of respondents, namely Darul Ihsan Vocational High School students. Measuring the quality of an expert web system using the WebQual instrument. There are three aspects of WebQual that will be measured, namely: usability, information, and interaction quality. Based on the questionnaires distributed to respondents, the expert web system was developed to fulfill the three aspects of WebQual (usability, information, and interaction, with a score of 83.78%, 80%, and 82.97% in the good category.

Marthen Timisela; Yan Tabuni

Jurnal DIKMAS 2022 Biro Pengelolaan Penelitian dan Pengabdian Kepada Masyarat SETIA Ngabang

There is a lack of understanding of just and civilized humanitarian values ​​in the community environment, so that the application of Pancasila values ​​​​is an obligation for Indonesian citizens as a guideline for their lives. This study discusses the implementation of just and civilized humanitarian values ​​​​in various professions in Jayapura City. By referring to previous literature reviews, this study aims to explore how these values ​​​​are internalized in daily practice in various sectors, including education, health, and government. Through qualitative methods, this study collected data from in-depth interviews and participant observations. The results show that despite the challenges, many professionals in Jayapura are committed to implementing humanitarian values ​​​​in their work, which contributes to the development of a more civilized society.