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All Journal MIX : Jurnal Ilmiah Manajemen Syntax Literate: Jurnal Ilmiah Indonesia Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Jurnal Benefita : Ekonomi Pembangunan, Manajemen Bisnis Dan Akuntansi JURNAL EKONOMI SAKTI (JES) Dinasti International Journal of Management Science Jurnal Investasi Business, Economics and Entrepreneurship Dinasti International Journal of Digital Business Management Ilomata International Journal of Management International Journal of Engagement and Empowerment (IJE2) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Indonesia Sosial Sains Innovative: Journal Of Social Science Research Manis : Jurnal Manajemen dan Bisnis Jurnal Penelitian Pendidikan Indonesia Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka) Pemberdayaan Masyarakat: Jurnal Aksi Sosial Novatio : Journal of Management Technology and Innovation
Siswadhi, Ferry
Sekolah Tinggi Ilmu Ekonomi Sakti Alam Kerinci
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Physics Public Health Social Sciences Other

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The Impact of Transformational Leadership on Organizational Performance in the Digital Government Era Siswadhi, Ferry; Haryono, Gampo; Lestari, Anggia Ayu; Yelnim, Yelnim
MIX: JURNAL ILMIAH MANAJEMEN Vol 15, No 3 (2025): MIX : Jurnal Ilmiah Manajemen
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/jurnal_mix.2025.v15i3.010

Abstract

The rapid advancement of digital government has reshaped organizational structures, decision-making processes, and leadership dynamics. This study explores the impact of transformational leadership on organizational performance in the digital government era using a qualitative research approach. Through in-depth interviews with government officials, policy analysts, and digital transformation experts, this research examines how transformational leadership traits such as vision, motivation, intellectual stimulation, and individualized consideration enhance performance, innovation, and adaptability in public institutions. Findings indicate that transformational leaders play a crucial role in fostering a culture of digital innovation, encouraging employee engagement, and driving effective change management. Leaders who exhibit proactive strategies and inspire a shared vision significantly contribute to improved public service delivery, cross-sector collaboration, and institutional resilience in navigating digital transformation challenges. Additionally, this study highlights the barriers to leadership effectiveness, including bureaucratic inertia, resistance to change, and skill gaps in digital competencies. The analysis underscores the importance of continuous leadership development programs and a supportive digital infrastructure to maximize the benefits of transformational leadership in the public sector. This study contributes to the discourse on public administration modernization by providing insights into leadership strategies that enhance government efficiency, agility, and citizen-centric service delivery. Future research should explore quantitative models to measure the correlation between transformational leadership and key performance indicators in digital governance.
Service Learning in Cultural Preservation and Education in Kampung Glam Area, Singapore Satriadi Satriadi; Ferry Siswadhi; Fitri Rezeki; Elondri Elondri; Andini Dwi Pratiwi; Nurul Rabbani
Pemberdayaan Masyarakat : Jurnal Aksi Sosial Vol. 2 No. 4 (2025): Desember: Pemberdayaan Masyarakat : Jurnal Aksi Sosial
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/aksisosial.v2i4.2614

Abstract

Kampung Glam as a heritage area in Singapore faces modernization challenges that have the potential to shift local cultural identity. Service learning is applied to bridge cultural preservation efforts with community education through the collaboration of students, communities, and cultural stakeholders. The purpose of this activity is to strengthen cultural education, increase awareness of the younger generation, and support the sustainability of the creative economy based on local values. The methods used include needs mapping, collaborative solution design, implementation of cultural workshops, and sustainability evaluation. The results showed that students gained contextual experience on heritage management, while the local community was helped through educational materials, mentoring, and strengthening of cultural narratives. This activity also increases the understanding of the importance of a balance between the preservation of historical values and the development of the modern economy. In conclusion, service learning is effective as an educational approach and community empowerment in maintaining cultural identity. It is suggested that the program be continued with the development of cultural education modules and long-term partnerships to strengthen sustainability.
Co-Authors Abdallah, Zachari Ahmad, Mauledy Andini Dwi Pratiwi Ayu Esteka Sari Azliyanti, Elfitra Carolina, Cyntia Elondri Elondri Endang Widyastuti Fitri Rezeki Fitrina Afrianti Fitrina Afrianti, Fitrina Gampo Haryono Hafiz, Adrul Hapzi Ali Karimi, Kasman Kasman Karimi Koesmariadi, Fransiska Agustina Lestari, Anggia Ayu Liantifa, Melifia Maryanto Mauledy Ahmad Mauledy Ahmad Melifia Liantifa Melifia Liantifa Mira Hastin Moh. Kurdi Munir, Ningky Sasanti Ni Nyoman Sawitri Nurul Rabbani Reni Yuliviona, Reni Rian Martias Rony, Zahara Tussoleha Satriadi Satriadi Sembiring, Rinawati Septiani, Eka Suci Marselina Sudirman Sudirman Tri Widyastuti Yelnim . Yelnim, Yelnim Yuliza, Mai