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All Journal Jurnal Pengabdian Masyarakat dan Riset Pendidikan Maneggio
Firdiansyah Lukman
Sekolah Tinggi Ilmu Pelayaran Jakarta
Humanities Decision Sciences, Operations Research & Management Education Languange, Linguistic, Communication & Media Mathematics Other

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Strategi Pengembangan UMKM Berbasis Ekonomi Kreatif di Wilayah Perdesaan : Pengabdian Tunggal Puspa Nugraha; Firdiansyah Lukman; Riduwan; Yuka Martlisda Anwika; Siska Mayratih
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 April - Juni
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.5794

Abstract

Pengabdian ini bertujuan mendorong pengembangan UMKM di wilayah perdesaan melalui pendekatan ekonomi kreatif. Kegiatan dilaksanakan melalui beberapa tahap, yaitu identifikasi potensi dan permasalahan, perencanaan program, sosialisasi, pelatihan, pendampingan, dan evaluasi. Hasil kegiatan menunjukkan perubahan positif pada pelaku UMKM, terutama dalam memahami pentingnya kreativitas sebagai strategi pengembangan usaha. Pelaku usaha mulai memanfaatkan potensi lokal untuk menciptakan variasi produk yang lebih bernilai serta meningkatkan kualitas pengemasan agar lebih menarik dan memiliki identitas yang jelas. Selain itu, kemampuan memanfaatkan media digital untuk promosi juga mulai berkembang sehingga membuka peluang perluasan pasar. Kegiatan ini turut meningkatkan kepercayaan diri dan motivasi pelaku usaha untuk menerapkan strategi baru, termasuk pengelolaan usaha yang lebih sistematis melalui pencatatan kegiatan usaha serta membangun kerja sama dengan pelaku usaha lain. Secara keseluruhan, kegiatan pengabdian ini berkontribusi dalam memperkuat kapasitas pelaku UMKM dan mendorong terciptanya ekosistem usaha yang lebih kreatif dan berkelanjutan di wilayah perdesaan.
Talent Management Strategies in Responding to Industry 5.0 Disruption: A Competency- and Agility-Based Human Resource Development Model Firdiansyah Lukman
Maneggio Vol. 3 No. 1 (2026): FEBRUARY-MJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/vm9qa744

Abstract

The transition to Industry 5.0 requires organizations to adopt human-centered and sustainable strategies in managing their workforce. Talent management is no longer an administrative function but a strategic mechanism for developing competencies and agility to sustain competitive advantage. This study aims to analyze how competency-based talent management integrated with agility as a dynamic capability forms an effective human resource development model in responding to Industry 5.0 disruption. This research employs a quantitative explanatory design using a cross-sectional survey of managers and HR professionals in digitally transforming organizations. Data were collected through structured questionnaires and analyzed using Structural Equation Modeling to test direct and mediating relationships among competency-based talent management, agility, and sustainable competitive advantage. The findings reveal that competency-based talent management significantly influences agility, and agility significantly enhances sustainable competitive advantage. Moreover, agility partially mediates the relationship between competency-based talent management and sustainable performance, indicating that competencies must be activated through adaptive capabilities to generate long-term value. The study concludes that integrating competency development with agility-building mechanisms is essential for achieving sustainable competitiveness in the Industry 5.0 era.
Artificial Intelligence in Human Resource Management Aris Setia Noor; Firdiansyah Lukman; Pandef Rudianto
Maneggio Vol. 3 No. 4 (2026): AUGUST - MJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/8dfg1g23

Abstract

Artificial intelligence (AI) is transforming human resource management (HRM) from an administrative function into a data-driven strategic capability. This article synthesizes twenty-five peer-reviewed sources published between 2021 and 2026 to examine how AI technologies, including machine learning, natural language processing, and generative AI, are reshaping recruitment, training, performance management, compensation, and retention. Using a structured literature review method with a PRISMA-informed research flow, this study identifies patterns across empirical, conceptual, and bibliometric studies on AI-HRM integration. The findings show that AI enhances the speed and consistency of recruitment screening, personalizes learning and development pathways, and produces predictive insights that support retention and workforce planning. At the same time, the literature consistently raises concerns about algorithmic bias, data privacy, and the erosion of human judgment in high-stakes decisions such as hiring and termination. The novelty of this review lies in integrating strategic, ethical, and technological perspectives into one conceptual framework linking AI capability, HR functional application, organizational outcome, and governance safeguard, an integration most prior single-function reviews omit. The article concludes that sustainable AI-HRM adoption requires augmentation rather than replacement of human decision-makers, supported by transparent governance, continuous auditing, and HR professionals equipped with data literacy to interpret and contest algorithmic recommendations responsibly.
Co-Authors Aris Setia Noor Pandef Rudianto Riduwan Siska Mayratih Tunggal Puspa Nugraha Yuka Martlisda Anwika