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INDONESIA
Indonesian Journal of Enterprise Architecture
Published by PT. Global Research Collaboration
ISSN : 30256410     EISSN : 30256402     DOI : https://doi.org/10.66314/ijea
Core Subject : Economy, Social,
Economics, Econometrics & Finance Social Sciences
Business Strategic and Operations Management Digital Marketing and Consumer Studies Entrepreneurship and Management of Innovation Management of Technology and Innovation Data Analysis For Business Artificial Intelligence in Business Technology Adoption in Business
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Pemasaran
Articles 34 Documents
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TOGAF ADM–Based Enterprise Architecture Design: A Design Science Study on Capability and Process Alignment in Digital Organizations Hajar Dewantara; Andi Asrida Reskinah D; Nurul Aulia Fitriani; Risnawati S
Indonesian Journal of Enterprise Architecture Vol. 2 No. 3 (2025): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v2i3.540

Abstract

TOGAF ADM (The Open Group Architecture Framework Architecture Development Method) is a structured and comprehensive framework for developing and managing PT Shopee Indonesia's architecture. TOGAF ADM provides a systematic approach to planning, designing, and implementing architectures that support business objectives. Within this framework, the architecture development process consists of a series of well-organized stages, from initial planning to implementation and maintenance of the architecture. Each TOGAF ADM stage is equipped with guidelines and templates that assist enterprise architects in describing, analyzing, and implementing architectural elements such as business architecture, data architecture, application architecture, and information technology architecture. Enterprise Architecture modeling using TOGAF ADM helps organizations understand the interrelated relationships between these architectural elements and ensure alignment with business strategy. By using TOGAF ADM, organizations can create and manage a consistent, integrated, and adaptive architecture, which helps in reducing complexity, increasing operational efficiency, and facilitating successful change and transformation. Understanding and applying TOGAF ADM provides practical guidance for enterprise architects in developing architectures capable of addressing complex business challenges and achieving competitive advantage.
Applying the Zachman Framework to Enterprise Architecture: A Multi-View Perspective on Business–IT Alignment in Platform-Based Firms Andika Isma; Alfian Pasomba; Andi Naila Quin Azisah Alisyahbana
Indonesian Journal of Enterprise Architecture Vol. 2 No. 3 (2025): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v2i3.541

Abstract

PT. Dekoruma Inovasi Lestari (Dekoruma) is a technology-based company, which focuses on furniture sales, interior design services, and property sales. The company's extensive business lines require more comprehensive data and applications than currently available. Therefore, an enterprise architecture design is needed for this company so that all business lines can run smoothly. This study aims to design the Dekoruma company's enterprise architecture. This study uses an enterprise architecture planning method with the Zachman framework approach. The focus of this study lies in four important aspects of the Zachman framework, namely scope, business model, system model, and technology model, as well as two main components in the Zachman framework, namely the data column (what) and the function column (how). The result of this study is an initial enterprise architecture design that describes the data and application requirements that can be implemented. In addition, this study also produces a list of application recommendations and implementation plans that can be implemented.
Implementing TOGAF ADM for Enterprise Architecture Development and Governance: Evidence from a Large-Scale Technology Enterprise Salwa Nabilah Assidiq; Muh Anugerah Jufri; Hajar Dewantara; Betania Kartika Muflih
Indonesian Journal of Enterprise Architecture Vol. 2 No. 3 (2025): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v2i3.542

Abstract

Enterprise architecture (EA) is a structured approach to designing, developing, and managing information technology (IT) infrastructure to support business objectives. TOGAF is a popular enterprise architecture framework and is widely used by large enterprises to develop and manage their IT architecture. This article discusses the implementation of TOGAF at IBM and explains how the company managed to develop a structured and well-coordinated enterprise architecture. IBM Enterprise has implemented TOGAF as the main framework in developing and managing their IT architecture. They use TOGAF as a tool to integrate their IT architecture with business needs and to ensure that the IT solutions developed can meet their business and technology requirements. In implementing TOGAF, IBM follows a set of well-documented processes and practices. They started by identifying their business architecture and designing the right IT architecture to support their business goals. The result of the TOGAF implementation at the IBM company is the development of a structured and well-coordinated enterprise architecture. In addition, IBM can manage risk more effectively and ensure that their IT architecture aligns with their business strategy.
Designing a Web-Based Sales and Ordering Information System with the Zachman Framework: From Business Models to a Technology Roadmap Nurul Inayah Aulia Anas; Nitha Nurul Fitri Thayyib; Muh. Asyraff A Asmal; Aulya Dialira Zahra; Soussou Raharimalala
Indonesian Journal of Enterprise Architecture Vol. 2 No. 3 (2025): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v2i3.544

Abstract

The use of the system aims to achieve conformity with business needs, which requires organizations of a certain scale to develop their systems to a level of complexity. Enterprise architecture (EA) is a structured approach used to identify all system requirements and enables the design and development of complex systems to be simpler. In EA modeling, frameworks are used to provide guidance for developers in designing and developing systems. With a framework, developers can easily follow the steps, methods or logical structures provided by the framework. The ease of obtaining information via the internet does not reduce the importance of books as a valid source of information or reference. However, buying books directly often faces several obstacles, such as lack of information about the book you are looking for, difficulty finding books in stores that have many types of books, and offers regarding the stock and place of the book you want. Therefore, an online book sales information system framework based on the Zachman Framework was developed, with the aim of making it easier for book buyers and sellers to transact. The system is designed to have a clean, easy-to-understand, balanced and complete design, and provides features such as book catalogs, company information, payment systems and transaction processing information. The use of the Zachman Framework in designing a website-based book sales and ordering information system provides an effective solution to meet business and user needs.
Enterprise Architecture Blueprint using the Zachman Framework: Mapping Processes, Data, and Technology for Digital Transformation Andika Isma; Gusti Ayu Sri Adinda Prameswari; Nurul Fathiah Annisa D; Muh Fadel Mubarak; Salim Diarra
Indonesian Journal of Enterprise Architecture Vol. 2 No. 3 (2025): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v2i3.545

Abstract

PT Elizabeth Hanjaya is a retail company operating in the fashion industry. Throughout its development, Elizabeth has been known for its unique characteristics, offering trendy, elegant, and high-quality fashion products at affordable prices. However, in terms of Information Systems/Information Technology (IS/IT) planning, the company has yet to fully maximize the utilization of Systems/Information Technology (IS/IT) that should be implemented within a company. Therefore, the company requires a more strategic planning to support its business objectives that align with the business and Systems/Information Technology (IS/IT) strategies. Enterprise Architecture Planning has been chosen as a guide, with the Zachman Framework as the method, consisting of six rows: scope, enterprise model, system model, technology constrained model, retailed representations, and functioning enterprise, as well as six columns: what, how, where, who, when, and why. The result of this research is a proposed architectural design that is expected to fully support the ongoing business operations to achieve optimal and effective outcomes.
Customer Segmentation with AI-Based Customer Relationship Management for Effective Marketing of Nichoa Chocolate MSMEs Asizah, Andi Balqis Mutiara; Aris, Valentino; Isma, Andika; Masud; Rahmatillah, Andi Aisyiah
Indonesian Journal of Enterprise Architecture Vol. 3 No. 1 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i1.191

Abstract

This study aims to design and evaluate an AI-integrated Customer Relationship Management (CRM) application to support marketing decision-making at Nichoa Chocolate SMEs. Initial problems include inconsistent customer data recording, transactions that are not yet connected to analytics, limited data dashboards, and the absence of customer segmentation, resulting in marketing strategies that tend to be unsuitable for business needs. The system was developed using a Research and Development approach based on the ADDIE model. The built system integrates transaction data with RFM analysis to generate measurable customer mapping and more targeted marketing strategy recommendations. The analysis results showed that the recency value was dominated by new and nearly lost customer segments, so the recommended strategy emphasised a retention-first approach through the reactivation of passive customers, regular communication, and personalised offers, accompanied by efforts to convert new customers to make repeat purchases. The system evaluation showed that all functional test scenarios were successful, usability was rated as good through demonstrations and interviews, and the application performance was very high. These findings confirm that AI-integrated RFM-based CRM is suitable for strengthening SME marketing in a more targeted and measurable manner.
AI-Driven Green Technology Adoption and Sustainable Tourism Behavior: An Extended Technology Acceptance Model Aunalal, Zany Irayati; Salhuteru, Andrie Christina; Kriekhoff, Shella; Hahury, Jessy Juniu; Fredriksz, Grace
Indonesian Journal of Enterprise Architecture Vol. 3 No. 2 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i2.427

Abstract

This study examines the determinants of AI-driven green technology adoption and their implications for sustainable tourism behavior in environmentally sensitive destinations. Drawing on the Technology Acceptance Model, the study extends the framework by incorporating green technology trust and environmental concern to explain how users form attitudes toward AI-enabled green tourism technologies and how these attitudes translate into sustainable behavioral intention and actual behavior. Data were collected through a survey and analyzed using Partial Least Squares Structural Equation Modeling. The results show that perceived ease of use (β = 0.388; t = 10.819), green technology trust (β = 0.274; t = 7.670), and environmental concern (β = 0.194; t = 4.993) significantly influence attitudes toward green tourism technologies. In addition, attitude has a significant positive effect on sustainable behavioral intention (β = 0.545; t = 17.218), which subsequently exerts a strong effect on actual sustainable tourism behavior (β = 0.656; t = 24.675). These findings suggest that accessible, reliable, and environmentally credible AI-enabled tourism technologies can strengthen responsible tourism practices. The study contributes to the literature by demonstrating that technology-related perceptions and pro-environmental orientation jointly shape sustainable tourism behavior. It also offers practical implications for destination managers and tourism service providers seeking to design digital sustainability initiatives in ecologically fragile tourism contexts.
An OCR–LSTM-Based Framework for Hazardous Cosmetic Ingredient Detection and Skin-Type Classification Using Ingredient Analysis Natsir, Muh. Syahlan; Mustafa, M. Syukri
Indonesian Journal of Enterprise Architecture Vol. 3 No. 2 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i2.433

Abstract

This study proposes an OCR–LSTM-based framework for hazardous cosmetic ingredient detection and skin-type classification using ingredient analysis. The increasing use of skincare products has raised significant safety concerns, particularly regarding the presence of harmful substances in products distributed through online platforms. To address this issue, the proposed framework integrates Optical Character Recognition (OCR) for extracting ingredient text from cosmetic labels with a Long Short-Term Memory (LSTM) model for classification and analysis.Two primary datasets were utilized: a hazardous ingredient list obtained from the Indonesian Food and Drug Authority (BPOM) and a skincare ingredient dataset categorized based on compatibility with different skin types, including oily, dry, normal, and combination. The extracted text was processed through preprocessing and normalization stages before being used as input for the LSTM model to classify ingredient safety and determine skin-type suitability. Experimental results show that the proposed framework achieved a training accuracy of 97.59% and a validation accuracy of 96.68%, with strong classification performance, particularly for Combination, Normal, and Dry skin categories. These results demonstrate that the integration of OCR and deep learning provides an effective approach for automated ingredient analysis, enabling accurate detection of hazardous substances and supporting safer skincare product selection.
Digital Marketing as a Mediating Mechanism Between Service Quality and Price: An Applied Study on Patient Satisfaction Rusno; Nurdiana, Iva
Indonesian Journal of Enterprise Architecture Vol. 3 No. 2 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i2.535

Abstract

This study examines service quality and price perception affect patient satisfaction, and it investigates how digital marketing in healthcare services acts as a mediator. Increasing competition in the healthcare sector requires hospitals to improve service performance while adopting digital communication strategies to enhance patient satisfaction. This research employs a quantitative explanatory approach using survey data collected from patients at RS Mitra Delima, Malang Regency. A total of 218 respondents werechosen through proportional random sampling. Data collection involved structured questionnaires, which were assessed using a five-point Likert scale and analyzed using WarpPLS 8.0 to evaluate both the measurement model and the structural relationships among variables. The results indicate that service quality and price perception have significant positive effects on patient satisfaction. Digital marketing also significantly influences patient satisfaction and acts as a mediating variable that strengthens the relationship between service quality, price perception, and patient satisfaction.  This study highlights the strategic role of digital marketing as a mechanism that enhances the impact of service quality and pricing strategies on patient satisfaction. The findings provide practical implications for healthcare institutions to integrate service excellence, transparent pricing, and effective digital marketing in improving patient satisfaction and competitiveness.
Employee Performance in the Digital Banking Era: The Mediating Role of Engagement in Linking Competence, Culture, and Work Stress Noviardi Ferzi; Albetris Albetris; Muhammad Akbar
Indonesian Journal of Enterprise Architecture Vol. 3 No. 1 (2026): Indonesian Journal of Enterprise Architecture
Publisher : Global Research and Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66314/ijea.v3i1.585

Abstract

This study examines the mechanisms through which human resource competence, organizational culture, and work stress influence employee performance, with employee engagement acting as a mediating variable. Drawing upon Human Capital Theory, Job Demands–Resources (JD-R) Theory, and Social Exchange Theory, this research proposes an integrated framework to explain employee performance within the context of digital transformation in the banking sector. A quantitative explanatory design was employed, with data collected from 250 employees of a regional development bank using proportionate stratified random sampling. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that human resource competence and organizational culture have positive and significant effects on both employee engagement and employee performance. In contrast, work stress negatively affects employee engagement but does not have a significant direct effect on employee performance. Furthermore, employee engagement emerges as the strongest predictor of performance and functions as a full mediator in the relationship between work stress and employee performance, while serving as a partial mediator in the relationships involving human resource competence and organizational culture. This study contributes to the literature by integrating structural and psychological perspectives into a unified framework and by providing empirical evidence from a relatively underexplored context. The findings offer important strategic implications for organizations seeking to enhance employee performance through engagement-driven human resource management practices.

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