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All Journal Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran Journal of Innovative and Creativity Horizon: Indonesian Journal of Multidisciplinary
Hizbul Khootimah Azzaakiyyah
Universitas Mandiri
Agriculture, Biological Sciences & Forestry Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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AI dan Budaya FOMO Gen Z Menjelang Tahun Baru: Implikasi bagi Pemasaran UMKM Hizbul Khootimah Azzaakiyyah; Riko Mersandro Permana
Journal of Innovative and Creativity Vol. 5 No. 3 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i3.6169

Abstract

Perkembangan kecerdasan buatan (Artificial Intelligence/AI) telah mengubah secara fundamental strategi pemasaran digital, khususnya dalam membentuk perilaku konsumsi Generasi Z yang sangat dipengaruhi oleh budaya Fear of Missing Out (FOMO). Menjelang periode Tahun Baru, intensitas penggunaan media sosial dan eksposur konten berbasis algoritma meningkat secara signifikan, sehingga memperkuat dorongan konsumsi berbasis tekanan sosial dan persepsi urgensi. Penelitian ini bertujuan untuk menganalisis peran AI dalam membentuk budaya FOMO Generasi Z serta implikasinya terhadap strategi pemasaran Usaha Mikro, Kecil, dan Menengah (UMKM). Penelitian ini menggunakan pendekatan kualitatif dengan metode tinjauan pustaka dan analisis deskriptif terhadap 29 artikel terpilih yang diterbitkan pada periode 2021–2025, yang diperoleh melalui Google Scholar dan sumber daring kredibel lainnya. Hasil kajian menunjukkan bahwa AI melalui algoritma media sosial, sistem rekomendasi, dan iklan tertarget berperan sebagai penguat utama budaya FOMO, yang mendorong keterlibatan emosional dan keputusan pembelian impulsif pada Gen Z. Bagi UMKM, pemanfaatan AI membuka peluang peningkatan visibilitas dan penjualan, namun juga menghadirkan risiko kelelahan digital dan penurunan kepercayaan konsumen jika tidak dikelola secara etis. Penelitian ini menegaskan pentingnya strategi pemasaran berbasis AI yang berkelanjutan, berorientasi nilai, dan sensitif terhadap dinamika psikologis konsumen muda.
Entrepreneurship Education and Perceived Economic Opportunities as Determinants of Students’ Entrepreneurial Decisions: The Mediating Role of Risk-Taking Behavior Sutrisno; Abu Muna Almaududi Ausat; Syamsuri; Susatyo Adhi Pramono; Hizbul Khootimah Azzaakiyyah; Muhammad Aqib Shafiq
Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran Vol. 12 No. 2 (2026): June
Publisher : LPPM Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jk.v12i2.20617

Abstract

This study aims to examine the influence of entrepreneurship education and perceived economic opportunities on students’ entrepreneurial decisions through risk-taking behavior as a mediating variable. This research integrates the Theory of Planned Behavior (TPB) and Behavioral Finance Theory (BFT) to explain how knowledge, opportunity perception, and psychological attitudes toward risk shape entrepreneurial decision-making among students. A quantitative approach was employed using a structured questionnaire distributed to university students in Semarang City who had participated in entrepreneurship courses. A total of 104 valid responses were analyzed using SEM-PLS, with respondents selected through a purposive sampling technique based on specific research criteria. The results indicate that entrepreneurship education and perceived economic opportunities have positive and significant effects on students’ risk-taking behavior. Furthermore, risk-taking behavior significantly influences students’ entrepreneurial decisions. The analysis also confirms that risk-taking behavior partially mediates the relationship between entrepreneurship education, perceived economic opportunities, and students’ entrepreneurial decisions. These findings highlight that entrepreneurial decisions among students are influenced not only by entrepreneurial knowledge and opportunity recognition but also by psychological readiness to take risks in uncertain economic conditions.
Artificial Intelligence dan Literasi Digital Pelaku UMKM: Tantangan Dan Peluang dalam Transformasi Bisnis Arjang; Endang Sri Wahyuningsih; Hizbul Khootimah Azzaakiyyah
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5654

Abstract

Advances in Artificial Intelligence (AI) are driving significant changes in business practices, including within the Micro, Small and Medium Enterprises (MSME) sector, which is required to adapt to the dynamics of the digital economy. This study aims to analyse the role of digital literacy in supporting the adoption of AI and to identify the challenges and opportunities faced by MSME operators in the business transformation process. The method employed is a literature review using a qualitative approach and descriptive analysis of 39 selected articles from a total of 50 initial sources obtained via Google Scholar and various credible websites spanning the years 1984–2026. Data analysis was conducted through the stages of data reduction, data presentation, and drawing descriptive conclusions. The results of the study indicate that digital literacy has a strong influence on the ability of SME operators to understand and utilise AI technology, which impacts improvements in operational efficiency, service quality, and business performance. The findings of this research confirm that the success of SME digital transformation is largely determined by the readiness of human resources and adequate ecosystem support. The limitations of this study lie in the use of secondary data and a qualitative approach, meaning that the results of the analysis do not yet measure the specific relationships between variables. Further research is recommended to employ quantitative or mixed-methods approaches using primary data, so that the results are more contextual and measurable.
Strategi Talent Management Berbasis Digital dalam Meningkatkan Retensi dan Loyalitas Karyawan Generasi Milenial dan Gen Z Riko Mersandro Permana; Hizbul Khootimah Azzaakiyyah; Ahmad Junaidi
HORIZON: Indonesian Journal of Multidisciplinary Vol. 4 No. 3 (2026): HORIZON: Indonesian Journal of Multidisciplinary
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/hijm.v4i3.5655

Abstract

This study aims to analyze the role of digital talent management strategies in improving employee retention and loyalty among Millennials and Generation Z employees. The research method employed a qualitative approach with a literature review design and descriptive analysis. Data were obtained from 41 selected scientific articles sourced from Google Scholar with publication years ranging from 1964–2026, which were selected from an initial 50 articles based on relevance and scientific quality. The data analysis techniques included theme categorization, interpretation, and synthesis. The findings indicate that the implementation of digital talent management through data-based HR systems, digital learning platforms, and employee engagement systems can enhance employees’ attachment to the organization. Case studies from global and national companies such as Google and Tokopedia strengthen the finding that digitalization contributes to increasing employee retention and loyalty, especially among younger generations. The success of implementation is strongly influenced by organizational readiness in integrating technology with a human-centered approach. This study is limited by its reliance on literature review without direct primary data and its greater focus on large companies and the technology sector, so the generalization of findings should be interpreted cautiously. Future research is recommended to apply mixed methods approaches, expand studies to SMEs and non-technology organizations, and develop more integrated AI-based digital talent management systems.  
Co-Authors Abu Muna Almaududi Ausat Ahmad Junaidi arjang Endang Sri Wahyuningsih, Endang Sri Muhammad Aqib Shafiq Riko Mersandro Permana Susatyo Adhi Pramono, Susatyo Adhi Sutrisno Sutrisno Syamsuri Syamsuri