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All Journal Medina-Te : Jurnal Studi Islam MES Management Journal Sci-Tech Journal Journal of Educational Management Research
Enah Pahlawati
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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Peran Artificial Intelligence dalam Rekrutmen dan Seleksi: Meningkatkan Efisiensi dan Akurasi dalam MSDM Efrita Norman; Enah Pahlawati
Sci-tech Journal Vol. 3 No. 1 (2024): Sci-Tech Journal
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/stj.v3i1.320

Abstract

Artificial Intelligence (AI) has become an important element in various aspects of life, including Human Resource Management (HRM). AI offers great potential to increase efficiency and accuracy in employee recruitment and selection processes. This research aims to explore how AI can be implemented in recruitment and selection to increase the speed, effectiveness and fairness of the process. This research also evaluates the benefits and challenges faced in using AI in the HRM context, with a particular focus on the candidate screening process based on relevant criteria. The research approach used is a literature study, where data is collected from books, journal articles, industry reports, and other reliable sources. The literature review includes analysis of a variety of academic and practical sources relevant to this topic, to gain a comprehensive picture of the development and application of AI in recruitment and selection. The analysis process involves identifying key themes related to adaptive and flexible leadership and their implications for organizations . This method was chosen to gain a comprehensive understanding of the concepts discussed and their relevance in the context of digital transformation. The research results show that the use of AI in recruitment and selection can significantly increase the efficiency and speed of candidate screening. AI is able to automate the resume screening process, perform big data analysis, and use natural language processing to interact with candidates in a more personal way. AI systems are also able to reduce subjective bias, increase objectivity in decision making, and enable significant time and cost savings. Additionally, the study found that customization of screening criteria provided by AI allows companies to tailor the selection process to their specific needs, resulting in higher quality candidates. However, the research also identified several challenges, such as the need for accurate data, potential bias in algorithms, and the need for ongoing monitoring to ensure transparency and fairness in the recruitment process. AI offers an effective solution to improve efficiency and accuracy in recruitment and selection, but successful implementation requires a deep understanding of the technology as well as a commitment to minimizing risk and ensuring a fair and transparent process.
Quality Assurance and Accreditation in MBA Programs: A Systematic Review of Emerging Trends and Frameworks Efrita Norman; Arman Paramansyah; Heni Feviasari; Enah Pahlawati
Journal of Educational Management Research Vol. 4 No. 6 (2025)
Publisher : Al-Qalam Institue

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Abstract

This study aims to examine emerging trends, frameworks, and stakeholder perspectives on accreditation and quality assurance (QA) in Master of Business Administration (MBA) programs. The purpose is to identify shared and divergent QA practices, analyze stakeholder roles, and assess how accreditation influences institutional performance and strategic priorities. A systematic literature review was conducted using predefined inclusion criteria, resulting in the selection of 48 empirical and conceptual studies from Scopus-indexed sources. Thematic analysis structured the findings into five key areas: conceptualizations of quality, comparative accreditation models, stakeholder participation in QA, challenges in autonomous institutions, and measurable impacts on performance. The results reveal that accreditation not only promotes standardization but also stimulates innovation and contextual adaptation, particularly in non-Western and autonomous institutions. Stakeholder engagement, collaboration, and transparency emerged as critical factors in ensuring QA legitimacy and effectiveness. Furthermore, accreditation was strongly associated with enhanced graduate employability, student satisfaction, governance, and market positioning. The study contributes to advancing the discourse on business education quality by highlighting gaps in existing frameworks and recommending more inclusive, flexible, and globally relevant accreditation strategies.
Pengembangan Kepemimpinan yang Adaptif dan Fleksibel: Meningkatkan Ketahanan Organisasi di Era Transformasi Digital Efrita Norman; Enah Pahlawati
MES Management Journal Vol. 3 No. 1 (2024): MES Management Journal 
Publisher : MES Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mesman.v3i1.314

Abstract

In an era of rapidly evolving digital transformation, adaptive and flexible leadership development is becoming increasingly crucial to ensure organizational sustainability and resilience. Adaptive leadership allows leaders to face dynamic challenges with innovative strategies, while flexible leadership helps adapt management styles to different situations. This research aims to explore the concept of adaptive and flexible leadership and its strategies to increase organizational resilience in the face of rapid technological and market changes. This research was carried out through an in-depth literature study by analyzing relevant literature from various scientific sources and industry reports. The research approach used was a literature study, where data was collected from books, journal articles, industry reports and other reliable sources. The analysis process involved identifying key themes related to adaptive and flexible leadership and their implications for the organization. This method was chosen to gain a comprehensive understanding of the concepts discussed and their relevance in the context of digital transformation. The research results show that adaptive and flexible leadership has a significant positive impact on organizational resilience. Adaptive leaders are able to navigate change more effectively, manage uncertainty, and encourage innovation. Meanwhile, flexibility in leadership allows for quicker response to market changes and employee needs, which in turn improves overall organizational performance. This study also identified several key strategies for developing adaptive and flexible leadership, including continuous training, organizational learning approaches, and emotional skills development. However, this research also revealed several challenges in developing adaptive and flexible leadership, such as high uncertainty, resistance to change , and resource limitations. However, with the right approach, these challenges can be overcome, and organizations can take advantage of the long-term benefits of adaptive and flexible leadership. This research concludes that to remain competitive and resilient in the era of digital transformation, organizations must invest in the development of adaptive and flexible leadership . It is hoped that these findings can provide guidance for practitioners and academics in designing effective leadership development strategies to face future challenges.
Digital Transformation of Islamic Education: AI, Gamification, and Pedagogical Adaptation for Generation Z Norman, Efrita; Enah Pahlawati; Muhammad Lanri Siregar; Dessy Damayanthy
Medina-te : Jurnal Studi Islam Vol 21 No 1 (2025): Medina-Te: Jurnal Studi Islam
Publisher : Pascasarjana Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/medinate.v21i1.27952

Abstract

Islamic education is undergoing a significant transformation due to rapid technological advancements and the learning preferences of Generation Z. Traditional methods such as memorization, halaqah, and talaqqi remain fundamental, yet digitalization is becoming increasingly necessary to maintain engagement and relevance. This study aims to explore the integration of artificial intelligence and gamification into Islamic education, particularly in madrasahs, Islamic boarding schools, and modern Islamic schools in Bogor. Using a mixed methods approach, qualitative data were collected through in-depth interviews and observations, while quantitative data were gathered from surveys involving students, educators, and parents. The findings reveal that while modern Islamic schools have embraced digital learning, madrasahs and Islamic boarding schools face challenges in digital adoption due to resistance from educators, lack of infrastructure, and concerns over maintaining traditional values. Statistical analysis indicates no significant correlation between digital learning preferences and students’ understanding of Islamic values, highlighting the need for a structured approach to digital integration. This study contributes to the field by proposing a hybrid learning model that combines traditional pedagogies with AI-driven personalized learning and interactive gamification techniques. While offering a framework for digital transformation in Islamic education, this study acknowledges limitations, including its focus on a single geographic region and the need for further research on the long-term effects of AI in religious education. Moving forward, strategic policies, educator training, and infrastructure development are essential to ensure that digitalization enhances, rather than compromises, the integrity of Islamic education.
Co-Authors Arman Paramansyah Dessy Damayanthy Efrita Norman Heni Feviasari Muhammad Lanri Siregar