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All Journal Jurnal Ilmiah FIFO JET (Journal of Electrical Technology) Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Kilat Building of Informatics, Technology and Science Jurnal Pengabdian Masyarakat IPTEK International Journal of Research in Vocational Studies (IJRVOCAS) Prosiding Snastikom J-COSCIS : Journal of Computer Science Community Service Internasional Journal of Data Science, Computer Science and Informatics Technology (InJODACSIT) Jurnal Maklumatika
Marliana Sari
Dosen Teknik Komputer Dan Informatika Politeknik Negeri Medan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Journal : Prosiding Snastikom

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Perancangan Aplikasi Penjadwalan Kuliah Pada Perguruan Tinggi Marliana Sari; Kadri Yusuf
SNASTIKOM Vol. 2 No. 1 (2023): SEMINAR NASIONAL TEKNOLOGI INFORMASI & KOMUNIKASI (SNASTIKOM) 2023
Publisher : Unit Pengelola Jurnal Universitas Harapan Medan

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Abstract

Scheduling lectures in higher education is a complex task because it involves many factors such as room availability, lecturer teaching time, and student needs. Therefore, effective and efficient optimization techniques are needed to solve this scheduling problem. This research was conducted to design an effective and efficient lecture scheduling application using genetic algorithms at diploma and undergraduate levels. By using a genetic algorithm, it is hoped that it can produce a lecture schedule that meets the given requirements and constraints, such as minimizing schedule conflicts, optimizing room use, and maximizing lecturer teaching time. The problems raised from this research can be solved by determining the parameters of the genetic algorithm used in scheduling lectures, determining the factors that need to be considered in scheduling lectures using genetic algorithms, the design can be tested and evaluated to see the performance of the genetic algorithm. Lecture scheduling application built using a genetic algorithm
Co-Authors Azanuddin Azanuddin Daya Februwanti Gultom Desman Tumanggor Enny Segarahati Barus Gunawan Gunawan Hikmah Adwin Adam Kadri Yusuf Makmur Tarigan Nanang Sadikin Orli Binta Tumanggor Rhaishudin Jafar Rumandan Rini Nuraini Rizal Agus Sinuraya, Junus Wiwin Sry A B Wiwin Sry Adinda Banjarnahor Zakaria Sembiring Zuhirsyan, Muhammad