Analysis of the Trends in AI-as-a-Service (AIaaS) Implementation in Technology Companies in Indonesia

Main Article Content

Enda Wista Sinuraya
Ajub Ajulian ZM
Bambang Winardi

Abstract

This study examines the impact of adoption drivers, perceived benefits, and implementation challenges of Artificial Intelligence-as-a-Service (AIaaS) on the organizational performance of technology companies in Indonesia. Using a quantitative approach, data were collected from 200 respondents through structured questionnaires and analyzed with multiple regression techniques. The results reveal that adoption drivers and perceived benefits have a significant positive influence on organizational performance, while implementation challenges exert a negative impact. These findings suggest that while AIaaS offers considerable potential for efficiency, innovation, and competitive advantage, unresolved barriers such as data security, system integration, and limited human resources hinder its effectiveness. This study contributes to the growing body of literature on AI adoption in emerging economies by highlighting the dual role of enablers and inhibitors in shaping AIaaS outcomes. Practical implications include the need for organizations to invest in digital skills development and risk management, and for policymakers to establish clear regulatory frameworks to accelerate responsible AIaaS adoption in Indonesia.

Article Details

How to Cite
Sinuraya, E. W., ZM, A. A., & Winardi, B. (2025). Analysis of the Trends in AI-as-a-Service (AIaaS) Implementation in Technology Companies in Indonesia. The Eastasouth Journal of Information System and Computer Science, 3(01), 53–63. https://doi.org/10.58812/esiscs.v3i01.721
Section
Articles

References

D. Kosaraju, “Artificial Intelligence in Cloud Computing: Enhancements and Innovations,” Galore Int. J. Appl. Sci. Humanit., vol. 5, no. 4, pp. 61–67, 2021.

K. Mohammed, “AI in cloud computing: Exploring how cloud providers can leverage AI to optimize resource allocation, improve scalability, and offer AI-as-a-service solutions,” Adv. Eng. Innov., vol. 3, no. 1, pp. 22–26, 2023.

D. L. Dede, E. Adityarini, and M. A. Madiansah, “Analisis Implementasi Kecerdasan Buatan (Artificial Intelligence) Dalam Optimalisasi Proses Bisnis,” J. Sist. Inf. dan Teknol., vol. 5, no. 1, pp. 90–99, 2025.

M. A. Khan, “Understanding the impact of artificial intelligence (AI) on traditional businesses in Indonesia,” J. Manag. Stud. Dev., vol. 3, no. 02, pp. 146–158, 2024.

L. Judijanto, “Perkembangan Startup Digital di Indonesia: Sebuah Tinjauan,” Indo-Fintech Intellectuals J. Econ. Bus., vol. 4, no. 5, pp. 2011–2032, 2024.

L. Griesch, J. Rittelmeyer, and K. Sandkuhl, Towards AI as a service for small and medium-sized enterprises (SME). In IFIP Working Conference on The Practice of Enterprise Modeling. Cham: Springer Nature Switzerland, 2023.

M. A. Afkar, “Transformasi bisnis dengan penerapan kecerdasan buatan (AI) pada sistem informasi dan teknologi digital: Tren utama tahun 2023,” 2023.

F. Fajri, K. A. Perdana, D. U. Manurung, P. K. N. Dharmawan, and N. G. Dewi, “The Role of Early Adoption of Artificial Intelligence in Supporting the Growth of Micro and Ultra-Micro Enterprises in Indonesia: Challenges and Opportunities,” J. Akunt. dan Bisnis, vol. 10, no. 02, pp. 133–143, 2025.

P. Maghfirah and Y. Eni, “The Impact Of Artificial Intelligence (Ai) Adoption On The Productivity Of Small And Medium Enterprises (Smes) Industries In Indonesia: High Cost, Lack Of Knowledge, And Inadequate Infrastructure As Mediation Variables,” Int. J. Bus. Manag. Econ. Rev., vol. 7, no. 03, pp. 128–145, 2024.

N. Rohmah and K. Komarudin, “Digital transformation in business operations management,” Am. J. Econ. Manag. Bus., vol. 2, no. 9, pp. 330–336, 2023.

H. Halim, T. M. Kesuma, and M. R. Siregar, “Digital transformation strategy to optimize company performance,” J. Manaj. Bisnis, Akunt. Dan Keuang., vol. 2, no. 2, pp. 189–200, 2023.

T. Haryanti, N. A. Rakhmawati, and A. P. Subriadi, “Navigating the Digital Transformation Landscape in Indonesia: A Qualitative Sectoral Analysis,” in In 2024 IEEE International Symposium on Consumer Technology (ISCT), 2024, pp. 805–811.

J. Paiva, “Exploring the Drivers of AI Adoption: A Meta-Analysis of Technological, Organizational and Environmental (TOE) Factors,” 2024.

O. M. Horani, A. S. Al-Adwan, H. Yaseen, H. Hmoud, W. M. Al-Rahmi, and A. Alkhalifah, “The critical determinants impacting artificial intelligence adoption at the organizational level,” Inf. Dev., vol. 41, no. 3, pp. 1055–1079, 2023, doi: https://doi.org/10.1177/02666669231166889.

I. S. Mangula, I. Van De Weerd, and S. Brinkkemper, “The adoption of software-as-service: an Indonesian case study,” 2014.

N. Rane, S. P. Choudhary, and J. Rane, “Acceptance of artificial intelligence: key factors, challenges, and implementation strategies,” J. Appl. Artif. Intell., vol. 5, no. 2, pp. 50–70, 2024.

O. T. Murire, “Artificial intelligence and its role in shaping organizational work practices and culture,” Adm. Sci., vol. 14, no. 12, p. 316, 2024.

C. Safitri and M. Miranda, “Impact of Technological Adoption, Innovation Management, and Market Demand on Competitive Advantage,” Int. J. Business, Law, Educ., vol. 5, no. 2, pp. 2165–2176, 2024.

A. V. C. Solano, L. D. C. Arboleda, C. C. C. García, and C. D. C. Dominguez, “Benefits of artificial intelligence in companies,” Management:(Montevideo), no. 1, p. 16, 2023.

R. Suraji and H. Ali, “Catalyzing change: Unleashing the power of artificial intelligence in Indonesian business,” Int. J. Adv. Multidiscip., vol. 2, no. 4, pp. 952–961, 2024.

H. S. Putra, J. Badri, and H. Irfani, “Exploring Business Potential Through the Application of Artificial Intelligence: Impact Analysis on Operational Efficiency, Decision Making, and Customer Experience,” Escalat. Econ. Bus. J., vol. 1, no. 02, pp. 72–81, 2023.

B. Christine and C. S. Kansil, “Hambatan Penerapan Perlindungan Data Pribadi di Indonesia Setelah Disahkannya Undang-Undang Nomor 27 Tahun 2022 Tentang Perlindungan Data Pribadi,” Syntax Lit. J. Ilm. Indones., vol. 7, no. 9, pp. 16331–16339, 2022.

A. Fikri and T. Amelia, “Indonesia’s Legal Policy on Protecting Personal Data from Artificial Intelligence Abuse,” in In SHS Web of Conferences (Vol. 204, p. 07002), 2024.

I. Gemiharto, “Analysis of Personal Data Preservation Policy in Utilizing AI-Based Chatbot Applications in Indonesia,” Medium, vol. 12, no. 1, pp. 63–78, 2024.

A. R. Hapriyanto, “The Urgency of Adopting Regulations on Artificial Intelligence Utilization to Enhance Personal Data Protection in Indonesia,” Asian J. Eng. Soc. Heal., vol. 2, no. 12, pp. 1581–1587, 2023.

N. A. P. Adytia, S. Arief, and D. Astesa, “Regulatory arrangements and utilization of artificial intelligence (AI) in realizing personal data protection in Indonesia,” 2024.