Development of a Room Mapping Backend System: A Case Study of Practical Classroom Allocation

This study aims to develop a robust backend system for optimizing practical course scheduling in educational institutions, specifically addressing the challenges faced by the Faculty of Industrial Engineering at Telkom University. The primary objective is to streamline the allocation of classrooms to ensure efficient use of resources and minimize scheduling conflicts. Efficient management of practical course scheduling is a critical challenge for educational institutions aiming to optimize resource utilization and ensure seamless academic operations. This case study at Telkom University's Faculty of Industrial Engineering (FRI) highlights the demand for a robust system due to the growing student population. This paper introduces SIMETA FRI, a backend system designed to streamline practical course scheduling. The system includes modules for user, room, shift, and practical course requirement management. By integrating a Genetic Algorithm (GA) for optimization, the system balances various constraints to minimize conflicts and maximize room utilization. Rigorous testing verified the flawless operation of all system features. Load testing demonstrated resilience, efficiently managing up to 800 concurrent users without performance degradation. The backend system facilitates easy management of scheduling data, ensuring data integrity and accessibility. The GA implementation reduced scheduling conflicts to zero and enhanced room utilization to 85%, showcasing the system's capability to tackle complex scheduling demands and optimize educational resources. Furthermore, the system's flexibility allows for future expansions and integration with other institutional systems. This research demonstrates the significant potential of a well-designed backend system, supported by advanced computational techniques, in improving academic scheduling and overall educational efficiency, highlighting its potential impact in the educational sector.

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Publication Details

Published
2024-12-17
DOI
https://doi.org/10.1109/icicyta64807.2024.10912917
Primary Topic
Education and Learning Interventions
Type
article
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article

Development of a Room Mapping Backend System: A Case Study of Practical Classroom Allocation

Sinung Suakanto, Ekky Novriza Alam, Afif Zaky Muhana
Education and Learning Interventions
article

Development of a Room Mapping Backend System: A Case Study of Practical Classroom Allocation

Sinung Suakanto, Ekky Novriza Alam, Afif Zaky Muhana
article en

Abstract

This study aims to develop a robust backend system for optimizing practical course scheduling in educational institutions, specifically addressing the challenges faced by the Faculty of Industrial Engineering at Telkom University. The primary objective is to streamline the allocation of classrooms to ensure efficient use of resources and minimize scheduling conflicts. Efficient management of practical course scheduling is a critical challenge for educational institutions aiming to optimize resource utilization and ensure seamless academic operations. This case study at Telkom University's Faculty of Industrial Engineering (FRI) highlights the demand for a robust system due to the growing student population. This paper introduces SIMETA FRI, a backend system designed to streamline practical course scheduling. The system includes modules for user, room, shift, and practical course requirement management. By integrating a Genetic Algorithm (GA) for optimization, the system balances various constraints to minimize conflicts and maximize room utilization. Rigorous testing verified the flawless operation of all system features. Load testing demonstrated resilience, efficiently managing up to 800 concurrent users without performance degradation. The backend system facilitates easy management of scheduling data, ensuring data integrity and accessibility. The GA implementation reduced scheduling conflicts to zero and enhanced room utilization to 85%, showcasing the system's capability to tackle complex scheduling demands and optimize educational resources. Furthermore, the system's flexibility allows for future expansions and integration with other institutional systems. This research demonstrates the significant potential of a well-designed backend system, supported by advanced computational techniques, in improving academic scheduling and overall educational efficiency, highlighting its potential impact in the educational sector.

Telkom University (ID)
Quality Education
Openalex Percentile: Top 55%
Education and Learning Interventions
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Development of a Room Mapping Backend System: A Case Study of Practical Classroom Allocation — Sinung Suakanto, Ekky Novriza Alam, et al. · (2024) | TGRS Research Map | TGRS