Jayakrishnan, Mailasan
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Developing an AI-Enhanced Enterprise Architecture Model for Strategic Decision-Making in Malaysia’s Railway Industry Jayakrishnan, Mailasan; Subri, Nor Fatiha; Asri, Lyana Izzati Mohd
JOIN (Jurnal Online Informatika) Vol 10 No 2 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i2.1170

Abstract

Most developing nations, including Malaysia, still lack a model for the decision-making process that is comprehensive enough to account for a wide variety of potential effects and failures. The implementation of this investigation is crucial for Enterprise Architecture (EA) parameters for Railway Industry (RI) supplier performance that emphasize strategic decision-making processes to help the organizations become more competitive. In response to this need, the research integrates Artificial Intelligence (AI) as an enabler within the EA model to support intelligent and data-driven decision-making. This research has implemented a strategic decision-making process in the RI context and conducted it from a developing country perspective. The study identifies several elements of the decision-making process faced and experienced by the RI and the potential gaps for further observations in adopting the EA model. As a result, a fresh conceptual model enhanced with AI-driven analytics and intelligent decision support was created and assessed. By fulfilling the aims of the study, this research makes important contributions to the RI in terms of the use of EA, aligned with the worldwide standard of the four fundamental EA criteria, and explores the transformative potential of AI integration to accelerate EA adoption. The study's findings will impact both theory and practice, providing a pathway for developing nations to harness AI for strategic advantage and digital maturity.
Knowledge Management System for Railway Supply Chain Perspective Jayakrishnan, Mailasan; Mohamad, Abdul Karim; Yusof, Mokhtar Mohd
JOIN (Jurnal Online Informatika) Vol. 5 No 2 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i2.675

Abstract

Knowledge Management System (KMS) is a monitoring system that emphasizes the desired and actual performance of an industry. Aligning KMS to viably execute the Railway Industry methodology and supply chain operations utilizing legitimate knowledge management capabilities. Yet KMS controls the planning and priorities through action controls that emphasize on operational control level, result controls toward the strategic planning level, personnel controls on retaining the right operation with the right skills, and transaction control on the accurate and complete legal transactions for ensuring strategic management. Therefore, we have come up with a dynamic KMS for the Railway Supply Chain context that focuses on operational, tactical, and strategic perspectives on the information sources, value, analytics, and requirement for current and future drivers of an industry perspective. Moreover, this KMS aims to redesign the Information System by promoting a reductionist approach to problem-solving and best decision-making practices within an industry context.
Organization Cybernetics for Railway Supplier Selection Jayakrishnan, Mailasan; Mohamad, Abdul Karim; Mohd Yusof, Mokhtar
JOIN (Jurnal Online Informatika) Vol 6 No 1 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i1.689

Abstract

The comprehensive stimulation for this research arises from the necessity to continually understand and investigate the Information System (IS) discipline body of knowledge from organizational practice. Specifically, in this study, we focus on comparing a few available excellence frameworks, data analytics, and cybernetics approaches. Such knowledge and skill practice in the IS field is predominant for both IS research and teaching. On the other hand, to propose a relevant performance reporting model using data analytics and cybernetics that entail a body of knowledge and skill is crucial for the development and transformation of organizational excellence. Yet, it helps to design an online real-time organizational dashboard that produces knowledge for its application and decision-making within an organizational practice. IS discipline in an organization is comparatively young and its specification in academia as well as in practice is rapidly changing, we focus on the practical design, and IS structure for organizational excellence through employing information technologies.
A Model-Driven IS 4.0 Development Framework for Railway Supply Chain Jayakrishnan, Mailasan; Mohamad, Abdul Karim; Yusof, Mokhtar Mohd
JOIN (Jurnal Online Informatika) Vol 7 No 2 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i2.794

Abstract

Railway Industry (RI) in Malaysia possess below-average Information System (IS) skills and seldom use the IS for decision making at their operation level while they likewise discover digital transformation adaption is crucial and hence RI in Malaysia are in the slow mass of adapter classification. Perceiving the significant task of IS to RI in the economy, the government is resolved to assist and support the improvement of IS to guarantee their sustainability and competitiveness. IS framework being significant because it set up the computerized industry, lively digital, who can structure with simple to utilize and basic dynamic interaction. The present IS model utilized in Malaysia depends on the knowledge and experience of the specialist like system developers and academicians. The maximum of these IS models to identify the visual view of performance in RI are precise and are not strategized toward railway utilize and do not give prescriptive evaluation. The issue is no transition development and the absence of industry capacity to do the transition phases. This research focuses on the technology parameters influencing the adaption of IS to assist decision-makers, administrative bodies, and IS analysis to approach the advantages of its continued and expected improvement in the RI.