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Business Sustainability Based on Digital Marketing, Entrepreneurial Passion, and Self-Efficacy in MSMEs as Cooperative Members Awa Awa; Afzil Ramadian; Yoyok Priyo Hutomo; Saepul Alam; M. Albi Sahal Ma’hadi
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 2 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.6541

Abstract

Many micro, small, and medium enterprises (MSMEs) remain conventional, hindering their business sustainability. A key strategy to achieve sustainability is digital marketing, which helps MSMEs adapt to digital transformation. Alongside this, entrepreneurial passion and self-efficacy are essential in improving competitiveness and performance. However, studies that examine the combined influence of digital marketing, entrepreneurial passion, and self-efficacy on MSMEs' sustainability—especially among cooperative members—are still limited. This study analyzes their influence on MSMEs in Cisarua and Cijeruk districts, Bogor Regency, using a quantitative approach with census sampling of 62 cooperative-member MSMEs. Data were analyzed using multiple linear regression with SPSS 19. The results show that digital marketing, entrepreneurial passion, and self-efficacy each significantly influence business sustainability, both partially and simultaneously. These findings offer insights for researchers, policymakers, and MSME actors, and encourage further studies across various sectors.
The Influence of Workload, Education Skills, and Autonomy on Job Satisfaction Moderated by Digital Skills Afzil Ramadian; Awa Awa; Dede Syahrudin; Della Zulfia Nurlinda; Puput Sabrina Laelani Putri
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 2 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i2.7130

Abstract

The purpose of this study is to identify the effects of workload, education skills, and autonomy on job satisfaction, moderated by digital skills. This research is classified as quantitative research. The population of this study consists of employees at the Central Office of the Ministry of Marine Affairs and Fisheries. The sampling technique used in this study is purposive sampling, resulting in a sample size of 140 employees from the Central Office of the Ministry of Marine Affairs and Fisheries. The data analysis technique employed in this study uses Partial Least Squares (PLS). PLS is a Structural Equation Modeling (SEM) approach. The results show that: 1) Workload has a significant and positive effect on Job Satisfaction; 2) Educational Skill has a significant and positive effect on Job Satisfaction; 3) Autonomy has a significant and positive effect on Job Satisfaction; 4) Digital Skill cannot moderate the effect of Workload on Job Satisfaction; 5) Digital Skill cannot moderate the effect of Educational Skill on Job Satisfaction; and 6) Digital Skill cannot moderate the effect of Autonomy on Job Satisfaction.
REINVITING HUMAN RESOURCE MANAGEMENT IN THE AGE OF ARTIFICIAL INTELLIGENCE Ramadian, Afzil; Ismartaya; Fadla, Syakira; Zamil, Esih Nurasiah
Jurnal Visionida Vol. 11 No. 2 (2025): Desember
Publisher : Fakultas Ekonomi Universitas Djuanda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30997/jvs.v11i2.22285

Abstract

This study conducts a systematic literature review and bibliometric analysis to map the intellectual structure and thematic evolution of Artificial Intelligence (AI) and Machine Learning (ML) in Human Resource Management (HRM), with a focus on sustainability implications in business. Using PRISMA 2020, 62 articles were selected from Scopus-indexed publications. Bibliometric analysis via VOS viewer reveals three dominant thematic clusters: technical foundations of AI/ML, HRM-oriented applications, and data-driven decision-support systems. Key findings identify India, China, Malaysia, and the United States as leading contributors, with strong South–South collaborations especially between India and Malaysia highlighting emerging innovation pathways in plural economies. The results demonstrate that AI–HRM synergy significantly enhances business sustainability by enabling data-driven strategic decisions, optimizing resource allocation, and supporting personalized and inclusive HR practices. However, ethical risks such as algorithmic bias pose challenges to sustainable implementation. The study recommends transparent AI governance, regular algorithmic audits, and Human-in-the-Loop (HITL) protocols to ensure that AI integration strengthens rather than undermines human-centric and sustainable HRM. These insights provide a foundation for policymakers and organizations pursuing responsible digital transformation in dynamic regions such as Southeast Asia.
Innovation in Talent Management to Enhance Generation Z Retention and Performance Ramadian, Afzil; Meisyarani, Nara; Dewi, Sri Eka
Jurnal MANDIRI: Ilmu Pengetahuan, Seni, dan Teknologi Vol 8 No 2: Desember 2024
Publisher : Lembaga Kajian Demokrasi dan Pemberdayaan Masyarakat (LKD-PM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33753/mandiri.v8i2.338

Abstract

The dynamic development of the labor market demands organizations to innovate in talent management, especially in adapting to the unique characteristics of Generation Z. This study aims to identify and analyze effective retention strategies for Generation Z employees in Indonesia. Using a Systematic Literature Review (SLR) method, this paper synthesizes relevant literature on talent management and employee retention. The findings indicate that innovative talent management—integrating digital technologies, flexible work arrangements, and inclusive organizational culture—is effective in enhancing retention and performance among Generation Z. Practical implications suggest that organizations must design adaptive retention policies aligned with business goals and generational expectations. This study contributes insights into human capital strategies in the digital era.
The Role of Artificial Intelligence Competencies and Organizational Support in Predicting Government Employee Performance: A Bibliometric and Systematic Review Afzil Ramadian; Ismartaya; Revaliana Putri; Syakhira Fadla; Esih Nurasiah Zamil
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3539

Abstract

This study focuses on AI competencies and organizational support in human resource management and information technology. It aims to help the government with policies for AI development and employee performance. Literature review analysis is the method used, collecting data from the Scopus database. Bibliometric and Dimension software helped analyze various indicators, like authors, articles, citations, institutions, and countries. The search found 53,672 documents from 2016 to 2025, including 27,057 chapters, 13,206 edited books, 6,175 articles, 5,029 monographs, 1,677 proceedings, and 528 preprints. With a focus on exploring AI skills and support in human resource management to help improve policies and employee performance. The study analyzes the impact of artificial intelligence on government employee performance, highlighting key authors and sources, emphasizing the importance of experience, and suggesting policy improvements for enhanced skills and competitiveness.
THE ROLE OF ARTIFICIAL INTELLIGENCE COMPETENCIES, ORGANIZATIONAL SUPPORT, AND EMPLOYEE SELF-EFFICACY IN PREDICTING GOVERNMENT EMPLOYEE PERFORMANCE: A MEDIATION ANALYSIS WITH WORK ENGAGEMENT Afzil Ramadian; Chairuddin Chairuddin; Loso Judijanto; Rachmawati Rachmawati; Encep Sopandi
Jurnal Manajemen dan Kewirausahaan Vol. 27 No. 1 (2025): MARCH 2025
Publisher : Management Study Program, Faculty of Business and Economics, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jmk.27.1.22-32

Abstract

The purpose of this research is to determine the role of Artificial Intelligence Competencies, organizational support, and employee self-efficacy in predicting the performance of government employees. This research uses quantitative methods with a type of correlation research. The structural Equation Model (SEM) approach is assisted by the smart PLS application. This approach was chosen because it aims to determine the correlation between the Artifical Intelligence Competencies, Organizational Support, and Employee Self-Efficacy variables: Employee Self-Efficacy. Data analysis in this research used descriptive analysis and statistical analysis. Descriptive analysis is done by describing the results of the sampling percentage. Based on the results of the research, we show that Artificial Intelligence (AI) competencies, employee self-efficacy, work engagement, and organizational support proved to have an important contribution to improving the performance of government employees. Implications of this study indicates the need of holistic approach in human resource management in government sector. Organizations should also develop technical competencies like artificial intelligence and support psychological competencies like self-efficacy and work engagement through just policies and sufficient facilities.
Hilirisasi Teknologi Berbasis Inovasi Digital: Peran Katalitik Universitas di Indonesia Ramadian, Afzil; Ismartaya, Ismartaya; Fadla, Syakhira; Zamil, Esih Nurasiah
Jurnal Edukasi Vol. 4 No. 1 (2026): Jurnal Edukasi
Publisher : Edu Berkah Khatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60132/edu.v4i1.605

Abstract

Universitas di Indonesia memainkan peran krusial dalam memajukan inovasi digital untuk mendukung hilirisasi teknologi, namun kajian sistematis mengenai model dan pendekatan strategisnya masih terbatas. Penelitian ini bertujuan memetakan dinamika riset global dan menganalisis posisi universitas Indonesia dalam ekosistem inovasi digital untuk hilirisasi teknologi industri.  Metode yang digunakan adalah Systematic Literature Review (SLR) mengacu pada pedoman PRISMA 2020, dipadukan dengan analisis bibliometrik menggunakan perangkat lunak VOSviewer. Data dikumpulkan dari basis data Scopus pada 12 November 2025 dengan kata kunci “digital innovation” AND “university”, sehingga diperoleh 93 artikel open access yang memenuhi kriteria inklusi. Metode yang digunakan adalah Systematic Literature Review (SLR) mengacu pada pedoman PRISMA 2020, dipadukan dengan analisis bibliometrik menggunakan perangkat lunak VOSviewer. Data dikumpulkan dari basis data Scopus pada 12 November 2025 dengan kata kunci “digital innovation” AND “university”, sehingga diperoleh 93 artikel open access yang memenuhi kriteria inklusi. Hasil penelitian menunjukkan puncak produktivitas publikasi pada tahun 2025 dengan topik dominan meliputi artificial intelligence, digital transformation, dan sustainability. Amerika Serikat menjadi kontributor utama, sementara Indonesia berada dalam 10 besar negara produktif, meskipun jejaring kolaborasi internasionalnya masih terbatas. Analisis kluster mengidentifikasi tiga fokus riset utama: inovasi digital berorientasi keberlanjutan, pendekatan metodologis dalam studi inovasi, serta pendidikan berbasis virtual reality. Kebaruan penelitian ini terletak pada integrasi metodologis SLR dan bibliometrik untuk secara eksplisit menghubungkan wacana global tentang inovasi digital berbasis universitas dengan kebutuhan praktis hilirisasi teknologi industry sebuah hubungan yang masih jarang dikaji secara sistematis. Kontribusi teoretisnya adalah pengembangan model konseptual ekosistem Quadruple Helix, yang memperluas kerangka Triple Helix klasik dengan mengintegrasikan prinsip keberlanjutan dan inovasi digital sebagai elemen katalitik, sehingga memosisikan ulang universitas sebagai katalis sistemik multidimensi. Berdasarkan temuan, penelitian ini merekomendasikan penguatan kolaborasi universitas-industri serta penyusunan roadmap hilirisasi teknologi berbasis bukti bagi pendidikan tinggi Indonesia.