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Peran Pendidikan Kewirausahaan dalam Menumbuhkan Minat Berwirausaha Pada Mahasiswa Administrasi Bisnis Politeknik Lembaga Pendidikan dan Pengembangan Profesi Indonesia Makassar Muhammad Arfah; Shofiana Syam
Innovative: Journal Of Social Science Research Vol. 3 No. 1 (2023): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v3i1.3920

Abstract

Penelitian ini bertujuan mengetahui peran mata kuliah kewirausahaan dalam menumbuhkan semangat berwirausaha untuk mahasiswa. Penelitian ini merupakan jenis penelitian kualitatif deskriptif. Penentuan subjek dengan purposive sampling. Teknik pengumpulan data dengan observasi, dokumentasi, wawancara. Hasil penelitian menunjukan bahwa seorang dosen berperan memberikan motivasi agar mahasiswa memiliki sifat percaya diri, sehingga lahir keberanian untuk bertindak melawan resik yang diambil, dan dosen mengajarkan bahwa mahasiswa harus memiliki sifat wirausaha yaitu kreatif, inovatif. Minat berwirausaha mahasiswa dipengaruhi oleh faktor internal yakni keinginan dari diri sendiri. Selain itu faktor eksternal seperti lingkungan akademis dan lingkungan wirausaha yang dapat melihat secara langsung dalam menjalankan usaha. Dapat disimpulkan bahwa mata kuliah kewirausahaan adalah salah satu mata kuliah penting yang berperan dalam mengedukasi mahasiswa dalam mengambil langkah menjadi seorang entrepreneur.
Pengaruh Kepemimpinan DAN Budaya Organisasi Terhadap Kinerja Karyawan Pada PT Wijaya Karya (PERSERO)Tbk Muhammad Arfah
AL-MIKRAJ Jurnal Studi Islam dan Humaniora (E-ISSN 2745-4584) Vol. 4 No. 1 (2023): AL-Mikraj Jurnal Studi Islam dan Humaniora
Publisher : Pascasarjana Institut Agama Islam Sunan Giri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/almikraj.v4i1.4925

Abstract

This study aims to determine the influence of leadership and organizational culture on employee performance at PT. Wijaya Karya (Persero), Tbk. The types of data used in this research are qualitative and quantitative data. Sources of data used are primary data and secondary data. The data analysis method used is descriptive analysis. Multiple linear regression, correlation coefficient, coefficient of determination, t test and f test. the results of this study that simultaneously leadership and organizational culture have a positive and significant effect on PT. Wijaya Karya (Persero), Tbk.
Artificial Intelligence in Human Resource Management: A Systematic Literature Review of Emerging Practices, Challenges, and Future Research Directions Muhammad Arfah; Ahmad Firdaus
GoodWill Vol. 6 No. 1 (2026): April 2026
Publisher : Yayasan Amerta Insan Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65246/goodwill.v61.725

Abstract

Artificial Intelligence (AI) is transforming Human Resource Management (HRM) by enabling automation, predictive analytics, personalization, and data-driven decision-making across the employee lifecycle. However, the rapid expansion of AI-HRM research has produced fragmented evidence concerning emerging applications, employee and organizational outcomes, ethical challenges, and responsible governance. This study aims to systematically synthesize recent literature on AI in HRM, identify dominant applications and outcomes, examine implementation challenges, and develop a future research agenda. A Systematic Literature Review (SLR) was conducted using a structured search strategy based primarily on Scopus-indexed peer-reviewed journal articles published between 2021 and 2026. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 framework. Eligible studies were analyzed through descriptive mapping, thematic coding, comparative synthesis, and theoretical analysis. The findings indicate that AI applications are concentrated in recruitment and selection, performance management, talent management, workforce planning, HR analytics, learning and development, employee engagement, and retention. AI-HRM generates potential benefits through improved efficiency, decision support, personalization, productivity, and workforce optimization, but also creates challenges involving algorithmic bias, privacy, transparency, explainability, accountability, employee trust, job insecurity, and technostress. Generative AI and large language models represent an emerging frontier that further expands AI's role from automation toward human-AI collaboration. The study proposes an integrated AI-HRM framework emphasizing responsible AI governance and organizational readiness as critical conditions for sustainable value creation. The review contributes theoretically by integrating technological, organizational, human, and ethical perspectives and practically by providing guidance for responsible AI adoption in HRM.