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Towards Fair and Efficient Timetabling: A Genetic Algorithm Model Integrating Lecturer Day-Off Requests Khaeroni, Khaeroni; Muqdamien, Birru; Hestiningtyas, Ajeng
IJID (International Journal on Informatics for Development) Vol. 14 No. 1 (2025): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

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Abstract

This study tackles the complex challenge of lecture timetabling by incorporating lecturer day-off preferences, a crucial constraint often neglected in traditional scheduling methods. Given the NP-hard nature of the problem and the need for scalable solutions, a Genetic Algorithm (GA) was employed with a population size of 10, a crossover probability of 0.70, a mutation probability of 0.20, and a maximum generation of 10000. The proposed GA-based method, implemented using PHP and MySQL, is applied to a real-world scenario involving 25 courses, 22 lecturers, and six classrooms over a 5-day weekly schedule at the Faculty of Education and Teacher Training for the Even Semester of the 2023/2024 Academic Year. Experimental results, validated through the Mann-Whitney test, show that incorporating lecturer preferences enhances scheduling flexibility without significantly increasing computational time. Comparative analysis with Simulated Annealing and Tabu Search demonstrates the competitive performance of the GA-based method in optimizing lecture schedules. This study provides a practical solution for educational institutions seeking to improve their timetabling processes.
Konflik dalam Organisasi Muqdamien, Birru
Jurnal Literasi Pendidikan Nusantara Vol. 1 No. 1 (2020): Juni
Publisher : Program Studi S3 Pascasarjana Universitas Islam Negeri Sultan Maulana Hasanuddin Banten, Indonesia

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Abstract

Consciously or not, conflict can occur anywhere in any situation, an indication that when the communication and information system does not meet its targets, misunderstandings arise between two or more parties. Conflict is a battle to win or lose both between individuals and between groups. Conflict can also have the consequences of triggering war between countries. However, apart from the problem size of the conflict itself, conflict can be resolved in many ways. For example, by using power, confrontation, compromise, peace, and lowering positions
Towards Fair and Efficient Timetabling: A Genetic Algorithm Model Integrating Lecturer Day-Off Requests Khaeroni, Khaeroni; Muqdamien, Birru; Hestiningtyas, Ajeng
IJID (International Journal on Informatics for Development) Vol. 14 No. 1 (2025): IJID June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri (UIN) Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/ijid.2025.5067

Abstract

This study tackles the complex challenge of lecture timetabling by incorporating lecturer day-off preferences, a crucial constraint often neglected in traditional scheduling methods. Given the NP-hard nature of the problem and the need for scalable solutions, a Genetic Algorithm (GA) was employed with a population size of 10, a crossover probability of 0.70, a mutation probability of 0.20, and a maximum generation of 10000. The proposed GA-based method, implemented using PHP and MySQL, is applied to a real-world scenario involving 25 courses, 22 lecturers, and six classrooms over a 5-day weekly schedule at the Faculty of Education and Teacher Training for the Even Semester of the 2023/2024 Academic Year. Experimental results, validated through the Mann-Whitney test, show that incorporating lecturer preferences enhances scheduling flexibility without significantly increasing computational time. Comparative analysis with Simulated Annealing and Tabu Search demonstrates the competitive performance of the GA-based method in optimizing lecture schedules. This study provides a practical solution for educational institutions seeking to improve their timetabling processes.
Human Resource Management and Lecturer Performance in Islamic Higher Education: The Limited Role of Patience in Organizational Effectiveness Muqdamien, Birru; Wasehudin, Wasehudin; Juhji, Juhji
JURNAL AL-TANZIM Vol 10, No 3 (2026)
Publisher : Nurul Jadid University, Probolinggo, East Java, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/al-tanzim.v10i3.14432

Abstract

This study examines the influence of human resource management (HRM) practices and patience on lecturer performance in Islamic higher education institutions. Using a quantitative correlational approach, data were collected from 737 lecturers via a structured questionnaire and analysed in SPSS using descriptive statistics, Spearman's correlation, multiple regression, and the Mann–Whitney U test. The results showed that HRM practices significantly predicted lecturer performance (β = 0.61, p < 0.001), explaining 48% of the variance, while patience did not show a significant direct effect on lecturer performance (p = 0.287). A significant difference was also found between lecturers who only teach and those with additional structural responsibilities. These findings emphasise the importance of HRM systems in enhancing academic effectiveness, suggesting that institutional management has a greater influence on lecturer performance than individual psychological attributes. This study implies that Islamic higher education institutions should prioritise strengthening HRM practices, such as recruitment, training, and performance evaluation, to enhance academic effectiveness. Focusing on a strong HR system has greater potential to improve lecturer performance than relying on individual traits such as patience, making institutional HR development strategies the key to academic success.