O OPTIMIZATION OF ACADEMIC MANAGEMENT THROUGH DASHBOARD REQUIREMENTS ENGINEERING USING THE GORE METHOD

Dicke J. S. H. Siregar; Prastuti Sulistyorini; Christian Yulianto  Rusli

doi:10.47775/ictech.v21i1.407

Authors

Dicke Fakultas Teknologi Informasi, Program Studi Teknik Informatika, Institut Widya Pratama
Prastuti Fakultas Teknologi Informasi, Program Studi Sistem Informasi, Institut Widya Pratama
Tata Fakultas Teknologi Informasi, Program Studi Teknik Informatika, Institut Widya Pratama

DOI:

https://doi.org/10.47775/ictech.v21i1.407

Keywords:

Dashboard Akademik, Goal Oriented Requirements Engineering, Rekayasa Kebutuhan, Pengelolaan Akademik, Sistem Informasi Akademik

Abstract

Digital transformation in higher education demands the strengthening of integrated data-driven academic management capable of effectively supporting strategic decision-making processes. Although many higher education institutions have implemented Academic Information Systems, their utilization in practice remains largely limited to administrative functions and has not been fully optimized for analytical performance monitoring needs. This study aims to design requirement specifications and a conceptual model for an academic dashboard using the Goal-Oriented Requirements Engineering (GORE) approach to ensure alignment between institutional objectives and the developed system features.

The research employed a mixed-method approach with a sequential exploratory design, integrating qualitative exploration and quantitative validation. The qualitative stage involved interviews with 35 informants to identify academic management goals, which were subsequently transformed into systematically aggregated requirements. The quantitative stage involved 164 respondents to validate and prioritize system requirements using descriptive statistical analysis.

The results revealed ten primary academic management goals that were successfully transformed into ten dashboard requirements with clear traceability. All research indicators were declared valid and reliable, with a Cronbach’s Alpha value of 0.95, while the mean scores exceeded 4.00, indicating high to very high priority levels. The primary strategic requirements identified included cross-unit information integration, real-time monitoring capability, and ease of system access.

Therefore, this study concludes that the GORE approach is effective in generating a systematic, structured, and organizationally aligned conceptual design for an academic dashboard. Future studies are recommended to test this model across various institutional contexts and develop inferential analyses to comprehensively measure the impact of dashboard implementation on academic performance improvement.

References

Acosta, A. P., & Espino, M. M. (2016). Goal-oriented dashboard’s requirements with i*: a case study BT - International Conference on Information Systems Development. https://pdfs.semanticscholar.org/5e39/8f2d321b374a4c19885250130e6485d20033.pdf

Adikara, F., Wijaya, P. D., & Hendradjaya, B. (2016). Information system design based on the result of organization Goal-Oriented requirements engineering process. Springer. https://doi.org/10.1007/978-981-10-0557-2_104

Eckerson, W. W. (2010). Performance dashboards: Measuring, monitoring, and managing your business (2nd ed.). John Wiley & Sons.

Few, S. (2013). Information Dashboard Design: The Effective Visual Communication of Data. Analytics Press. https://www.perceptualedge.com

Hjelle, S. (2024). Organizational decision making and analytics: The role of dashboard information format and quality. Organizational Decision Making and Analytics.

Lamsweerde, A. van. (2009). Requirements Engineering: From System Goals to UML Models to Software Specifications. Wiley. https://www.wiley.com

Laudon, K. C., & Laudon, J. P. (2020). Management information systems: Managing the digital firm (16th ed.). Pearson Education.

Piri, Z., Samad-Soltani, T., Elahi, S. M. H., & Khezri, H. (2020). Information Visualization to Support the Decision-Making Process in the Context of Academic Management. Journal of Health Management and Informatics. https://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&jrnl=1735188X&AN=143256923

Rossi, F. S., Powell, B. J., Waltz, T. J., & Proctor, E. K. (2025). From glitter to gold: Recommendations for effective dashboards from design to sustainment. Implementation Science. https://doi.org/10.1186/s13012-025-01430-x

Salgado, M., Campos, C., & Marques, A. (2022). Setting requirements for a dashboard to inform environmental health decision-making: Combining evidence and stakeholder perspectives. Frontiers in Public Health, 10, 837433. https://doi.org/10.3389/fpubh.2022.837433

Valks, B., Arkesteijn, M., Koutamanis, A., & den Heijer, A. (2021). Towards smart campus management: Defining information requirements for decision making through dashboard design. Buildings, 11(5), 201. https://doi.org/10.3390/buildings11050201

van Lamsweerde, A. (2009). Goal-Driven Requirements Engineering and KAOS Method Resources. https://webperso.info.ucl.ac.be/~avl/gore.php