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All Journal International Journal of Evaluation and Research in Education (IJERE) IJID (International Journal on Informatics for Development)
Birru Muqdamien
Universitas Islam Negeri Sultan Maulana Hasanuddin Banten
Computer Science & IT Education

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The ICT basic skills: Contribution to student social media utilization activities Supardi Supardi; Juhji Juhji; Intan Azkiyah; Birru Muqdamien; Aan Ansori; Iwan Kurniawan; Ahmad Fitriadi Sari
International Journal of Evaluation and Research in Education (IJERE) Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v10i1.20598

Abstract

This study aimed to analyze the contribution of Information and Communications Technology (ICT) basic skills to student social media utilization activities. Quantitative research was determined as a method with regression analysis. A total of 144 students selected randomly participated in this research. The research instrument used a five-scale questionnaire, consisting of 32 items of ICT skill instruments and 20 items for social media utilization instruments. The results showed a high level of ICT students' basic skills and social media use activities. There is a contribution of basic ICT skills to student social media utilization activities. The higher of the basic skill of ICT causes the higher the level of activity utilization of their social media. Research recommendations suggest efforts to improve students' basic ICT skills.
Towards Fair and Efficient Timetabling: A Genetic Algorithm Model Integrating Lecturer Day-Off Requests Khaeroni Khaeroni; Birru Muqdamien; Ajeng Hestiningtyas
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.
Co-Authors Aan Ansori Ahmad Fitriadi Sari Ajeng Hestiningtyas Intan Azkiyah Iwan Kurniawan Juhji, Juhji Khaeroni, Khaeroni Supardi, Supardi