Article Sidebar
Main Article Content
Abstract
Digital transformation has become a strategic necessity for state-owned enterprises, and PT Telkom Indonesia (Persero) Tbk has adopted Enterprise Architecture (EA) to align its business strategy with its information technology systems. Although the TOGAF Architecture Development Method (ADM) has been widely applied in banking, education, and government contexts, structured documentation of how its four core domains, business, application, data, and technology architecture, jointly capture the transition from manual to automated operations within a large Indonesian telecommunications state-owned enterprise remains limited. This study analyses Telkom's EA implementation using TOGAF through a qualitative descriptive case study design, drawing on internal documentation and Unified Modelling Language (UML) diagrams. The analysis shows that Telkom has progressively shifted to fully automated processes within the middle office (provisioning, network configuration, and service monitoring) and back office (billing, financial analytics, and audit and compliance), while the front office retains partially manual service registration and verification. The SWOT analysis indicates that extensive national infrastructure and financial stability are key strengths, whereas suboptimal system integration is the most significant weakness. Managers should therefore prioritize integrating front-office registration systems with the already-automated middle and back office layers to achieve end-to-end digital service delivery.
Keywords
Article Details

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Similar Articles
- Syamsu Alam, Muh. Nur Syamsi Hidayah, Muh. Ashif, Rizal Bakri, Muh. Qardawi Hamzah, Deep Learning for Investment Decision Support: A SimpleRNN Approach to Stock Price Prediction with Real-Time API Deployment , Online Journal of Management, Innovation, Economics, and Digital Studies: Vol. 1 No. 1: Mei (2026)
- Salsabila, Shasy Due Mahardika, Arnisyah, Rizal Bakri, Farida Islamiah, Data-Driven Customer Segmentation for Digital Marketing Strategy in Shopping Malls Using Four Unsupervised Learning Algorithms , Online Journal of Management, Innovation, Economics, and Digital Studies: Vol. 1 No. 1: Mei (2026)
- Hasnia Dwi Lestari, Syamsu Alam, Valentino Aris, Design of an Expenditure Data Management System to Minimize Human Error in Figor Coffee MSME using the Waterfall Method , Online Journal of Management, Innovation, Economics, and Digital Studies: Vol. 1 No. 1: Mei (2026)
- Muhammad Ramdan Alqadri, Ahmad Syarif Hidayatullah, Rizal Bakri, Muh. Qardawi Hamzah, Decision Tree-Based Customer Churn Prediction in Banking: Predictive Performance, Data Leakage Detection, and Managerial Implications , Online Journal of Management, Innovation, Economics, and Digital Studies: Vol. 1 No. 1: Mei (2026)
You may also start an advanced similarity search for this article.
