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International Journal of Enterprise Modelling
Published by International Enterprise Integration Association
ISSN : 16939220     EISSN : 29878713     DOI : https://doi.org/10.35335/emod
Core Subject : Economy, Science, Education, Engineering,
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Transportation
The International Journal of Enterprise Modelling serves as a venue for anyone interested in business and management modelling. It investigates the conceptual forerunners and theoretical underpinnings that lead to research modelling procedures that inform research and practice.
Arjuna Subject : Matematika - Matematika Terapan
Articles 5 Documents
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Search results for , issue "Vol. 18 No. 2 (2024): May: Enterprise Modelling" : 5 Documents clear
Optimizing Educational Scheduling: ACO-Based Lecture Schedule Preparation Application Jhonlawi, Bonie Alkhan
International Journal of Enterprise Modelling Vol. 18 No. 2 (2024): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

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Abstract

This research endeavors to revolutionize educational scheduling by introducing a Lecture Schedule Preparation Application founded on Ant Colony Optimization (ACO) algorithms. The study addresses the intricate challenges inherent in scheduling courses within educational institutions. By leveraging ACO's adaptability and optimization capabilities, the application aims to efficiently allocate courses to rooms, time slots, and days while considering diverse constraints, faculty preferences, and institutional requirements. The investigation delves into the application's design, implementation, and performance in comparison to traditional heuristic approaches and other metaheuristic algorithms. Emphasizing adaptability and user-centricity, the application incorporates user preferences and institutional constraints, aligning schedules more closely with real-world needs. Key findings highlight the application's efficacy in optimizing resource utilization, enhancing scheduling efficiency, and accommodating real-time changes. The study underlines the significance of ACO's scalability, adaptability, and robustness in handling complex scheduling scenarios prevalent in educational settings. The research contributes to the realm of educational scheduling by introducing an innovative and adaptable solution. The findings underscore the transformative potential of ACO algorithms in streamlining scheduling processes, thereby fostering a more harmonious and efficient educational environment.
Enhancing Camera Purchasing Decisions: A Multicriteria Decision Support System using the Dempster-Shafer Method Winiski, Raditya
International Journal of Enterprise Modelling Vol. 18 No. 2 (2024): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

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Abstract

This research explores the development and implications of a Decision Support System (DSS) tailored for assisting consumers and businesses in navigating the complexities of camera purchasing decisions. Leveraging the Dempster-Shafer method, the study establishes a structured framework integrating multiple decision criteria to provide personalized recommendations aligned with user preferences. The research begins by delineating the significance of informed decision-making in camera purchases, acknowledging the intricate interplay between technical specifications, user preferences, and brand considerations. Building upon this premise, the study articulates the methodology employed in designing and implementing the DSS, emphasizing the integration of the Dempster-Shafer method to amalgamate beliefs across diverse criteria. Through a systematic approach, the DSS demonstrates strengths in its comprehensive multicriteria decision support, personalized recommendation generation, and robust handling of uncertainties inherent in decision-making.
Optimizing Football Tournament Predictions: A Decision Support System Utilizing the ELECTRE Method for Multi-Criteria Outcome Forecasting Simbolon, Gioriswan Frengky; Marcelino, Fiki
International Journal of Enterprise Modelling Vol. 18 No. 2 (2024): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

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Abstract

This research introduces a sophisticated Decision Support System (DSS) tailored for predicting football tournament outcomes, leveraging the robustness of the ELECTRE (Elimination and Choice Translating Reality) method. The study outlines a systematic methodology integrating multi-criteria decision-making principles, historical data, and diverse performance metrics to forecast match results. The research framework encompasses data collection, criteria identification, and the application of the ELECTRE method, assigning relative weights to criteria and establishing thresholds for evaluation. The DSS facilitates nuanced comparisons between teams across multiple criteria, navigating uncertainties and accommodating imprecise data inherent in sports analytics. Moreover, the research delineates the development of the predictive model, its calibration, and evaluation against historical data. Through a comparative analysis with other prediction methods, the study showcases the strengths of the ELECTRE-based DSS in providing comprehensive insights into football tournament outcomes. The implications of accurate predictions resonate across various stakeholders, influencing strategic decisions for teams, enhancing fan engagement, impacting betting landscapes, and shaping advertising and broadcasting strategies within the sports industry.
Enhancing Scholarship Recipient Selection: A Fuzzy Logic-Based Decision Support System Utilizing the Tsukamoto Method Rustanto, Herian Setya
International Journal of Enterprise Modelling Vol. 18 No. 2 (2024): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

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Abstract

Cholarship recipient selection stands as a critical yet challenging process, often constrained by traditional methods reliant on rigid criteria that struggle to encompass the diverse talents and achievements of applicants. This research introduces a novel Decision Support System (DSS) empowered by fuzzy logic and the Tsukamoto method to revolutionize this selection process. The DSS transcends the limitations of conventional methods by accommodating imprecise data, embracing a holistic evaluation framework that considers multifaceted criteria such as academic performance, extracurricular activities, and personal attributes. Leveraging fuzzy rules and linguistic variables, the system navigates uncertainty, fostering fairness, and transparency in decision-making. Rigorously tested for efficiency, accuracy, and reliability, the DSS emerges as a transformative tool, redefining scholarship selection paradigms. This research not only presents a cutting-edge system but also sets a precedent for advanced decision support systems, marking a shift towards more inclusive, adaptable, and precise evaluation methodologies.
Enhancing Cultural Resonance: A Decision Support System for Selecting Islamic Names using the Analytical Hierarchy Process Ahmad, Fauzan; Hanafiah, Adelia
International Journal of Enterprise Modelling Vol. 18 No. 2 (2024): May: Enterprise Modelling
Publisher : International Enterprise Integration Association

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Abstract

The selection of Islamic names represents a deeply rooted cultural tradition intertwined with spiritual significance, historical resonance, and familial heritage within the Muslim community. This research endeavors to develop a Decision Support System (DSS) utilizing the Analytical Hierarchy Process (AHP) methodology to navigate the multifaceted process of choosing Islamic names. The study integrates quantitative analysis with cultural sensitivity to create a structured framework for evaluating names based on criteria encompassing meanings, cultural relevance, pronunciation, and familial connections. Expert opinions and user perspectives are incorporated to establish criteria weights, providing a systematic approach to prioritize attributes aligned with cultural traditions and personal preferences. The implementation of the DSS aims to empower individuals and families to make informed, culturally resonant choices while fostering transparency, reducing subjective biases, and enhancing understanding of the profound significance inherent in Islamic names. Furthermore, the research acknowledges the adaptive nature of the DSS, capable of accommodating evolving cultural norms and diverse perspectives within the Muslim community. Ultimately, this study seeks to bridge the gap between tradition and modern decision-making methodologies, fostering a deeper appreciation for the rich heritage encapsulated within the selection of Islamic names.

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