Design and Implementation of An Automatic Examination Timetable Generation and Invigilation Scheduling System Using Genetic Algorithm

Aminu, A.; Caesarendra, Wahyu; Haruna, Umar S; Sani, Abubakar Sadiq; Said, Mansur; Pamungkas, Daniel Sutopo; Kurniawan, Sumantri R; Kurniawan, Endang

doi:10.1109/icae47758.2019.9221700

Cited by 4 publications

(2 citation statements)

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“…The paper [1] specifies the implementation of genetic algorithm to allocate the invigilators based on the free slots of room and time available. The solution is implemented in java with its user interface designed using swing.…”

Section: Literature Reviewmentioning

confidence: 99%

The Invigilatorapp: For Efficient Scheduling and Reminder Notifications

2023

IRJMETS

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Maintaining the validity and fairness of exams in educational institutions depends on effectively arranging invigilation duties. This study examines different invigilation duty scheduling techniques and a new system developed to enhance the procedure. Due to the complexity of modern examination systems, more advanced and automatic scheduling methods must be used instead of the manual allocation used in traditional procedures. The study reviews known algorithms, from straightforward rule-based approaches to sophisticated optimization methods. After that, a developed system is shown which makes use of simple algorithm to decide on scheduling wisely. Using real-world data, the suggested method is assessed and contrasted with existing algorithms, indicating its ability to achieve efficiency, fairness, and invigilator satisfaction.

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Section: Literature Reviewmentioning

confidence: 99%

The Invigilatorapp: For Efficient Scheduling and Reminder Notifications

2023

IRJMETS

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“…Genetic algorithms (GA), which are a type of gradual developmental algorithm, are influenced by the process of natural selection. Natural selection begins with the selection of suitable individuals from a population (Aminu et al, 2019). GAs is a type of approach that may be used to address these problems quickly.…”

Section: Definition Of Genetic Algorithmmentioning

confidence: 99%

A Systematic Literature Review: Optimization Timetable in Education to Support Work-Life Balance (WLB)

Yusop

2022

JCRINN

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Scheduling academic staff timetables is crucial and necessary to avoid redundancy and clash of class between teacher and student timetables. A good timetable allows students and teachers to manage their time and support a good and healthy lifestyle. However, with the scheduling, academic staff timetable may use many procedures to get efficient results. Therefore, this paper provides a gap of study for existing work on Optimization Timetable to support Work-Life Balance (WLB) regarding their market commercial and research purposes. The methodology of this study was conducted using a Systematic Literature Review (SLR). Result: two findings investigate 1) relevant optimization timetable scheduling used and 2) the method for timetable optimization to support WLB. The strengths and weaknesses of the features and utilities behind each study are also presented to provide a further understanding of the gaps and weaknesses of each body of research. We conclude that these studies are still insufficient and require further evaluation and improvement.

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