JURNAL
Optimizing Digital Transformation Through AI and Cloud Technology Integration for Innovation in Big Data-Driven Information Systems
- Bagikan:
Digital transformation has become critical for SMEs in emerging economies, yet
integrated studies combining AI, cloud computing, and human factors remain
scarce. This study addresses this gap by developing a holistic framework for
Indonesian SMEs through a systematic literature review. Using PRISMA protocol,
we analyzed 46 peer-reviewed articles (2020-2025) from Scopus, IEEE Xplore, and
Google Scholar, with thematic synthesis in NVivo 12. The proposed framework
reveals three interdependent dimensions: (1) technological integration (AI-cloud-big
data synergy), (2) process optimization (automation and analytics), and (3) human-
digital leadership (competency and cultural readiness). Case studies show 35%
operational efficiency gains but highlight infrastructure and skill gaps. This study
contributes a novel integration of TOGAF and DCMM theories, offering
policymakers a roadmap for SME digitalization while cautioning against one-size-
fits-all solutions.
Detail Information
| Item Type |
Other
|
|---|---|
| Penulis |
Lilik Tiara Giantri - Personal Name
|
| Student ID | |
| Dosen Pembimbing | |
| Penguji | |
| Kode Prodi PDDIKTI |
55200
|
| Edisi |
Published
|
| Departement |
Informatika
|
| Kontributor | |
| Bahasa |
Indonesia
|
| Penerbit | Universitas Yarsi Pratama : Tangerang., |
| Edisi |
Published
|
| Subyek | |
| No Panggil | |
| Copyright |
Lembaga Penerbit
|
| Doi |