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All Journal Journal of Information Systems and Informatics Indonesian Journal of Electrical Engineering and Computer Science The Indonesian Journal of Computer Science
Esiefarienrhe, Bukohwo Michael
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Journal : Journal of Information Systems and Informatics

 1 
UML Design of Business Intelligence System for Small-Scale Enterprises Esiefarienrhe, Bukohwo Michael; Moemi, Thusoyaone Joseph
Journal of Information System and Informatics Vol 6 No 1 (2024): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i1.672

Abstract

Small scale enterprises (SSEs) face numerous challenges in managing and processing their business data, which often leads to inefficiencies, errors, and suboptimal decision-making. To address these challenges, the design of a Business Intelligence (BI) system for SSEs using Unified Modeling Language (UML) diagrams is proposed. UML diagrams provide a visual modeling language that facilitates the design, analysis, and implementation of complex systems. The proposed BI system is designed to enable SSEs to gather, integrate, analyze, and present data from various sources, including sales, finance, operations, and customer relations. The agile methodology was used in the design of the mobile intelligence system (MoIS) utilizing the Scrum method because of its time-boxed iterations (sprints), cross-functional team collaboration, and regular feedback loops. The UML diagrams used in this design are use case diagrams, activity diagrams, class diagrams, and sequence diagrams. The use case diagrams identify the system's users and their interactions with the system, while the activity diagrams describe the system's processes and workflows. The class diagrams depict the system's data structures and relationships, and the sequence diagrams specify the interactions between system components. The proposed BI system provides SSEs with the necessary tools to make informed decisions, improve operational efficiency, and gain a competitive advantage. The UML-based design approach ensures that the BI system is well-structured, easy to maintain, and scalable. The effectiveness of the proposed BI system is demonstrated through a case study of an SSE in the retail industry. The results indicate that the BI system improves the SSE's decision-making processes and enables it to respond more quickly to changing market conditions. The proposed BI system using UML diagrams is a valuable contribution to the field of BI systems design and is expected to benefit SSEs in various industries.
Framework for Intelligent-Electricity Billing and Consumption Information System (IEBCIS) Esiefarienrhe, Bukohwo Michael; Maine, Itumeleng Michael
Journal of Information System and Informatics Vol 6 No 4 (2024): December
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i4.894

Abstract

The increasing demand for energy, coupled with the depletion of natural resources and environmental concerns, necessitates the adoption of sustainable energy practices. The use of electricity sustainability principles and smart meters data integration into energy systems plays a crucial role aiding electricity users make informed decisions about their energy consumption, driving sustainable energy practices and improving environmental stewardship. Despite efforts at electricity innovations, challenges persist in improving existing electricity frameworks, particularly in enhancing security and privacy measures, optimizing energy efficiency, improving user engagement and awareness, and addressing sustainability, scalability, interoperability, reliability and mounting environmental concerns and global warming issues. The integration of the principles of electricity sustainability and smart meter data into the development of a framework for Intelligent-Electricity Billing and Consumption Information System (IEBCIS) is crucial and an optimized approach to tackle these issues moving forward. Therefore, this paper presents IEBCIS framework that incorporated key aspects of electricity sustainability, interoperability, scalability, usability, reliability, security and privacy in the design of its framework. The Action Design Research (ADR) methodology using the pragmatism research philosophy was used to develop software prototypes to elucidate requirements for testing the framework. The result from the prototype showed significant potential to transform electricity billing and consumption practices by empowering users to make informed decisions about their energy usage, driving sustainable energy practices and improving environmental stewardship. Using the prototype, electricity consumers were able to access their smart data, query their electricity bills, simulate various electricity reduction best practices and view their total energy proposed savings in rands (South Africa currency). Ultimately, the IEBCIS framework achieved its aim of contributing to a more efficient and sustainable energy ecosystem, aligning with the global imperative for sustainable energy practices.
Evaluating ICT Project Sustainability Using Business Intelligence and Fuzzy AHP Mogale, Gwendoline Moshishi; Esiefarienrhe, Bukohwo Michael
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1276

Abstract

This study explores persistent sustainability challenges in ICT projects despite the widespread availability of project management tools. A mixed-method approach combining inspections, observations, and a structured questionnaire was used to evaluate the six key framework attributes drawn from existing literature. The rating response from the experienced and professional ICT projects field experts, which were based on a three-point scale, were further analyzed using Microsoft’s MicroStrategy dashboard (BI). The rating outcomes predominantly revealed the outcome as follows: Value Proposition (100% - agree), Strategy (92% - agree), Governance (92% - agree), Environmental Risk Assessment (50% disagree, but 42% agree), Time Management (83% - neutral, but 17% agreed), and Resource Capacity (92% - neutral, but 8% agreed). Subsequently, Fuzzy Analytic Hierarchy Process (F-AHP) model was applied to determine the relative priority of each attribute/factor. The usage of MS MicroStrategy dashboards (BI) enabled transparent visualization of expert ratings, while F-AHP provided structured prioritization and consistency validation through Saaty’s 10% rule. The integration of BI and F-AHP resulted in a study’s VSGETR framework which offers a scalable, data-driven model tailored to public sector governance, bridging strategic objectives with operational execution. Findings in this study suggest that embedding this framework into project policies and evaluation checklists can significantly improve sustainability oversight and resource monitoring in ICT initiatives.
Co-Authors Khutswane, Thoriso Lloyd Moluma, Tshidiso Maine, Itumeleng Michael Mamapule, Siyabonga Moemi, Thusoyaone Joseph Mogale, Gwendoline Moshishi Obagbuwa, Ibidun Christiana